Dissertations / Theses on the topic 'User profile'
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Boc, Michaël Mathias. "Profile of mobility : user-centric networking." Paris 6, 2009. http://www.theses.fr/2009PA066355.
Full textLimam, Lyes. "Usage-driven unified model for user profile and data source profile extraction." Thesis, Lyon, INSA, 2014. http://www.theses.fr/2014ISAL0058/document.
Full textThis thesis addresses a problem related to usage analysis in information retrieval systems. Indeed, we exploit the history of search queries as support of analysis to extract a profile model. The objective is to characterize the user and the data source that interact in a system to allow different types of comparison (user-to-user, source-to-source, user-to-source). According to the study we conducted on the work done on profile model, we concluded that the large majority of the contributions are strongly related to the applications within they are proposed. As a result, the proposed profile models are not reusable and suffer from several weaknesses. For instance, these models do not consider the data source, they lack of semantic mechanisms and they do not deal with scalability (in terms of complexity). Therefore, we propose a generic model of user and data source profiles. The characteristics of this model are the following. First, it is generic, being able to represent both the user and the data source. Second, it enables to construct the profiles in an implicit way based on histories of search queries. Third, it defines the profile as a set of topics of interest, each topic corresponding to a semantic cluster of keywords extracted by a specific clustering algorithm. Finally, the profile is represented according to the vector space model. The model is composed of several components organized in the form of a framework, in which we assessed the complexity of each component. The main components of the framework are: - a method for keyword queries disambiguation; - a method for semantically representing search query logs in the form of a taxonomy; - a clustering algorithm that allows fast and efficient identification of topics of interest as semantic clusters of keywords; - a method to identify user and data source profiles according to the generic model. This framework enables in particular to perform various tasks related to usage-based structuration of a distributed environment. As an example of application, the framework is used to the discovery of user communities, and the categorization of data sources. To validate the proposed framework, we conduct a series of experiments on real logs from the search engine AOL search, which demonstrate the efficiency of the disambiguation method in short queries, and show the relation between the quality based clustering and the structure based clustering
Johansson, Ida, and Stina Johansson. "Users from a role perspective : A model to provide a user-centered system development process." Thesis, Linköping University, Department of Computer and Information Science, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8925.
Full textToday there exist several systems that lack usability. The reasons are, among others, the pressure to add more features in the system, but also that focus has been earlier on technology and functionality. It becomes more important to think of the user, so that systems can be more usable. By focusing on the user, the user experience can enhance, which results in more satisfied users.
User involvement in the system development process is one way to learn and receive information about the user. There are several ways of doing that. One way is to create user portraits from existing user models. We have studied different user models and lack a model that includes both tasks and goals; for example one of the existing models focus on user goals and another on relations with the system.
The purpose with this final thesis is to create a model to describe users as roles providing a more effective and generalized user-centered system development process.
To create this model, the role profile model, we studied existing theories. By them we were influenced both by good and less good things. The theoretical study resulted in a tentative model that we tested by interview and observe six buyers within the manufacturing industry. This resulted in two role profiles; the strategic buyer and purchase planner. From the result of the interviews and observations, we improved the tentative role profile model to our final model. There were some factors that did not fit in the tentative model and some that we added.
The role profile model contains three elements; objectives, requirements and context. These elements consist of a number of attributes that are important when surveying a role profile. The uniqueness with the role profile model is the fact that it includes both role specific attributes and attributes that puts the role profile into a context. The model contains for example work process, system requirements, responsibility and authority.
The role profile is at part of a greater context. There are design philosophies that concern the whole system development process; from survey the user to design and test. Our role profile model only handles the first parts, the user and tasks, due to the time limitations.
We have created a practical procedure that we recommend to facilitate the usage of the role profile model. The practical procedure is based on our choices of method when testing the tentative role profile model. The central in our practical procedure are interviews and observations. It is important to plan the company visits so that all necessary information is received.
The usage of the role profile can for example contribute with: knowledge and understanding of the users, structured work procedure, a generally accepted terminology and a user-centered design process.
This final thesis has been performed on commission of Lawson Software. We had continuously discussions with them about usability and the role profile model. We have studied fields of applications for the role profile model at Lawson. We think they can use the model in the product requirement process, design and evaluation, work with composite applications, user understanding and user priority and introduction of new employees.
Idag finns det ett flertal system som har bristande användar¬vänlighet. Detta beror bland annat på påtryckningar att lägga till fler funktioner i systemen, men också på att det bakåt i tiden har fokuserats på att utveckla system utifrån teknologi och funktionalitet. Det blir allt viktigare att tänka på användaren så att systemen blir mer användarvänliga. Genom att fokusera på användaren kan man öka användarupplevelsen i systemet och det medför att användarna blir nöjdare.
Att involvera användaren i utvecklingsprocessen är ett sätt att lära känna och få information om användaren. Det finns många sätt att göra det på. Ett sätt är att skapa användarporträtt med hjälp av olika befintliga användarmodeller. Vi har studerat olika användarmodeller och sett att det saknas en användarmodell som inkluderar både fokus på användarens arbetsprocess och dess mål; till exempel en av de existerande modellerna fokuserar på användarens mål och en annan på relationer med system.
Syftet med detta examensarbete är därför att skapa en modell som beskriver användare som roller, som bidrar till en effektivare och bredare användar¬centrerad systemutvecklingsprocess.
För att ta fram denna modell, rollprofilsmodellen, studerade vi som sagt existerande teorier. Från dem påverkades vi både av delar som vi tyckte var bra och mindre bra. Vi kom fram till en hypotesmodell som vi testade genom att intervjua och observera sex inköpare på tillverkande företag. Detta resulterade i två rollprofiler; den strategiska inköparen och inköpsplaneraren. Utifrån resultaten av intervjuerna och observationerna förbättrade vi hypotesen till vår slutliga modell. Det fanns vissa faktorer som vi inte tyckte passade in, men även attribut som borde läggas till.
Rollprofilsmodellen innehåller tre delar; mål, krav och kontext. Dessa delar består av ett antal attribut som är viktiga att undersöka hos den rollprofil som ska skapas. Det som utmärker rollprofilsmodellen är att den inkluderar både roll¬speci¬fika mål och attribut som sätter rollprofilen i en kontext. Modellen innehåller till exempel relationer, krav, ansvar och befogenheter.
Rollprofilen är en del av en större kontext. Det finns designfilosofier som berör hela systemutvecklingsprocessen; från att kartlägga användaren till att designa och testa. På grund av tidsbegränsningar har vi enbart berört de första av dessa delar; användaren och arbetsuppgifter.
För att underlätta användandet av rollprofilen har vi skapat ett rekommenderat praktiskt tillvägagångssätt. Detta är baserat på våra egna metodval när vi testade vår hypotesmodell. Det centrala i det praktiska tillvägagångssättet är intervjuer och observa¬tioner. Det är viktigt att planera noggrant så att all nödvändig informa¬tion erhålls.
Användandet av rollprofilen kan till exempel bidra till: kunskap och förståelse av användaren, ett strukturerat arbetssätt, en allmänt accepterad terminologi samt en användar¬centrerad utvecklingsprocess.
Detta examensarbete har utförts på uppdrag av Lawson Software, med vilka vi kontinuer¬ligt har fört diskussioner om användbarhet och rollprofilsmodellen med mera. Vi har även utforskat vilka potentiella användningsområden som rollprofilen har på Lawson. Lawson skulle kunna använda modellen i kravhanteringsprocessen, design och utvärdering, arbete med komposita applikationer, användarförståelse och priori¬teringar samt intro¬ducerande av nyanställda.
Oelofse, Christina Hermiena. "The learner profile of a teenage cell phone user." Diss., Pretoria : [s.n.], 2009. http://upetd.up.ac.za/thesis/available/etd-07102009-160407.
Full textKacem, Sahraoui Ameni. "Personalized information retrieval based on time-sensitive user profile." Thesis, Toulouse 3, 2017. http://www.theses.fr/2017TOU30111/document.
Full textRecently, search engines have become the main source of information for many users and have been widely used in different fields. However, Information Retrieval Systems (IRS) face new challenges due to the growth and diversity of available data. An IRS analyses the query submitted by the user and explores collections of data with unstructured or semi-structured nature (e.g. text, image, video, Web page etc.) in order to deliver items that best match his/her intent and interests. In order to achieve this goal, we have moved from considering the query-document matching to consider the user context. In fact, the user profile has been considered, in the literature, as the most important contextual element which can improve the accuracy of the search. It is integrated in the process of information retrieval in order to improve the user experience while searching for specific information. As time factor has gained increasing importance in recent years, the temporal dynamics are introduced to study the user profile evolution that consists mainly in capturing the changes of the user behavior, interests and preferences, and updating the profile accordingly. Prior work used to discern short-term and long-term profiles. The first profile type is limited to interests related to the user's current activities while the second one represents user's persisting interests extracted from his prior activities excluding the current ones. However, for users who are not very active, the short-term profile can eliminate relevant results which are more related to their personal interests. This is because their activities are few and separated over time. For users who are very active, the aggregation of recent activities without ignoring the old interests would be very interesting because this kind of profile is usually changing over time. Unlike those approaches, we propose, in this thesis, a generic time-sensitive user profile that is implicitly constructed as a vector of weighted terms in order to find a trade-off by unifying both current and recurrent interests. User profile information can be extracted from multiple sources. Among the most promising ones, we propose to use, on the one hand, searching history. Data from searching history can be extracted implicitly without any effort from the user and includes issued queries, their corresponding results, reformulated queries and click-through data that has relevance feedback potential. On the other hand, the popularity of Social Media makes it as an invaluable source of data used by users to express, share and mark as favorite the content that interests them
Nadee, Wanvimol. "Modelling user profiles for recommender systems." Thesis, Queensland University of Technology, 2016. https://eprints.qut.edu.au/93723/1/Wanvimol_Nadee_Thesis.pdf.
Full textMahmood, Omer. "ADAPTIVE PROFILE DRIVEN DATA CACHING AND PREFETCHING IN MOBILE ENVIRONMENT." Thesis, The University of Sydney, 2005. http://hdl.handle.net/2123/714.
Full textMahmood, Omer. "ADAPTIVE PROFILE DRIVEN DATA CACHING AND PREFETCHING IN MOBILE ENVIRONMENT." University of Sydney. Information Technologies, 2005. http://hdl.handle.net/2123/714.
Full textLal, Neeraj. "Enhancing Location-Based Content Delivery Through Semi-Automated Generation of User Profile." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1293731843.
Full textChukala, Sileshi. "A Move Towards Practicability : Context Information and User Profile Management for the SensibleThings Platform." Thesis, Mittuniversitetet, Avdelningen för informations- och kommunikationssystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-29365.
Full textSilvestroni, Andrea. "NOEL - Applicativo Web di Residual Noise Extraction e User Profile Linking." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/17736/.
Full textCarimo, Rossana. "Evaluation of the UML profile for QoS from the user perspective." Thesis, Blekinge Tekniska Högskola, Avdelningen för programvarusystem, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5828.
Full textAl, Alshaikh Modhi. "Dynamic multi-concept user profile modelling in research paper recommender systems." Thesis, University of Brighton, 2018. https://research.brighton.ac.uk/en/studentTheses/8860a703-0d0b-49ef-aa00-ecece40d21d8.
Full textCarlsson, Anders, Simon Johansson, and Jacob Svedlund. "Roaming User Profiles : En undersökning av olika versioner och dess kompatibilitet." Thesis, Linnaeus University, School of Computer Science, Physics and Mathematics, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-8256.
Full textNär Windows Vista introducerades förändrades mappstrukturen för hur användarprofilen sparas jämfört med tidigare Windowsversioner såsom Windows XP. Denna rapport undersöker kompatibilitetsproblem med Roaming User Profiles mellan äldre och nyare versioner av operativsystemet. Syftet med rapporten var att utreda vilka problem som kan uppstå, vad det gäller Roaming User Profiles, vid en övergång från Windows XP till Windows Vista eller 7. Undersökningen genomfördes med hjälp av laborationer, litteratur och tester för att hitta problemen såväl som lösningar till dem. Resultatet visar att profiler skapade med Windows XP inte följer med till Windows Vista eller 7 utan det skapas sammanlagt två olika profiler, en för det äldre och en för det nyare operativsystemet. Ett skript som kopierar en användares filer från Windows XP till Vista/7 utformades därför. Slutligen presenterades en handlingsplan med olika alternativ vid en övergång från Windows XP till den nyare generationen av operativsystemen i Windowsfamiljen. Folder Redirection är en väl fungerande lösning dock går funktionaliteten som Roaming User Profiles erbjuder förlorad eftersom man endast får en uppmappning av bl.a. ”Mina Dokument” och ”Start Menu”.
Limam, Lyes [Verfasser], Harald [Akademischer Betreuer] Kosch, and Lionel [Akademischer Betreuer] Brunie. "Usage-Driven Unified Model for User Profile and Data Source Profile Extraction / Lyes Limam. Betreuer: Harald Kosch ; Lionel Brunie." Passau : Universität Passau, 2015. http://d-nb.info/1074020979/34.
Full textÖknegård, Enavall Isabell, and Julia Mineur. "Privacy and user profiling : Profile-based evaluation of what different third party services may learn about a user." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177643.
Full textOn-At, Sirinya. "Temporalité et réseaux sociaux : prise en compte de l'évolution dans la construction du profil utilisateur." Thesis, Toulouse 3, 2017. http://www.theses.fr/2017TOU30071/document.
Full textUser profiling is essential for personalization systems (e.g. personalized information retrieval systems, recommendation systems) to identify user information (preference, interests...), in order to propose relevant content based on his/her specific needs and requirements. Many works have shown that user's social neighbors can be a meaningful source to infer his/her interests. Besides, sociology works have shown that the user is better described by people around him/her, especially the people that are directly connected to him/her (his egocentric network). In this work, the term "social profiling" is considered as the interest extraction approach that consists in extracting user interests from information of his/her social neighbors. The user's profile built within this approach is called "social profile". As user behaviors evolve over time, it is necessary to take into consideration the evolution of user interests in user profiling process. In the case of social profile, user interests are extracted from the information shared by his/her social neighbors. Hence, the evolution of extracted interests is related to the evolution of information shared on user social network and to the evolution of relationships between the user and his/her social neighbors. This issue becomes particularly important in the Online Social Networks (OSNs) context where user behavior changes quickly. For a user, the relationships and information in his/her social network can evolve and become obsolete for him/her overtime. Two users creating a relationship are not required to know each other in real life. Thus, the relationship persistence is not always maintained in this case. Social events or viral marketing (buzz) are also factors that enhance online social content sharing. In this work, we propose a generic approach that considers the evolution in user's social network in the social profiling process and can be applied in different types of social network. To handle this, we propose to apply a time-aware method into existing social profile building process (individual based and community based approaches). This strategy aims at weighting user's interests in the social profile based on their temporal score. The temporal score of an interest is computed by combining the temporal score of information used to extract the interests (computed by considering their freshness) with the temporal of individuals who share the information in the network (computed by considering the freshness of the interaction with the user). The technique and temporal function used to compute the temporal score are customizable. Thus, we can find out the most appropriate technique or temporal function depending on the types or characteristics of the adopted social network. The experiments conducted on DBLP and Twitter showed that the so-called time-aware social profiling process applying our proposed time-aware method outperforms the existing time-agnostic social profiling process. We also found that the most appropriate technique, temporal function and social profiling approach vary depending on the network characteristics (size, density) and to the social network type. Our approach opens many opportunities for future studies in social information filtering and many application domains as well as on the Web (e.g. evolution of social profile in personalization of search engines, recommender systems in e-commerce,). Our long-term perspective consists in the proposal of a generic platform that extracts the information and builds the user social profile based on the type and the specific characteristics of the underlying social network. Such a platform would be parameterized by the characteristics of the targeted social network using a machine learning approach
Gao, Wei. "CONSTRUCTING USER BEHAVIORAL PROFILES USING DATA-MINING-BASED APPROACH." Diss., Tucson, Arizona : University of Arizona, 2005. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu%5Fetd%5F1261%5F1%5Fm.pdf&type=application/pdf.
Full textEkblad, Alice, and Anna Höglund. "Profile-based comparison of user integrity and advertisement content when using different adblockers." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-178199.
Full textRouhi, Rahimeh <1986>. "Classification and Clustering of Shared Images on Social Networks and User Profile Linking." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amsdottorato.unibo.it/9403/1/Rahimeh_Rouhi_Thesis.pdf.
Full textÅberg, Maria. "Skill and knowledge matrix and evaluation tool for CAD-users at Atlas Copco Rock Drills AB." Thesis, Örebro University, School of Science and Technology, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-10017.
Full textArhippainen, L. (Leena). "Studying user experience: issues and problems of mobile services:– Case ADAMOS: User experience (im)possible to catch?" Doctoral thesis, University of Oulu, 2009. http://urn.fi/urn:isbn:9789514291081.
Full textLiang, Jian. "Information sharing in Onesocialweb using a multiple profile manager to better informed medical decision making processes." Thesis, Queensland University of Technology, 2011. https://eprints.qut.edu.au/49806/1/Jian_Liang_Thesis.pdf.
Full textDalmina, Leonardo. "GamiProM: a Gamification Model based on Profile Management." Universidade do Vale do Rio dos Sinos, 2018. http://www.repositorio.jesuita.org.br/handle/UNISINOS/7036.
Full textMade available in DSpace on 2018-05-07T13:43:19Z (GMT). No. of bitstreams: 1 Leonardo Dalmina_.pdf: 3273879 bytes, checksum: df157a5701b423e92352934d75e44473 (MD5) Previous issue date: 2018-03-26
CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
O uso de elementos de design de jogos em contextos não relacionados a jogos, definido como gamificação, está sendo cada vez mais usado para aumentar a motivação e o engajamento dos usuários quando eles precisam executar uma tarefa em um ambiente não relacionado a jogo, como o local de trabalho, a escola ou uma aplicação de software. No entanto, quando a gamificação precisa ser implementada, um desafio enfrentado pelos desenvolvedores é identificar quais elementos do jogos engajarão efetivamente os usuários de um software com base em seus perfis de usuário e características motivacionais. Frequentemente, muitas pesquisas tendem a não incluir ou apenas apoiar os tipos de usuário e fatores motivacionais mais comuns. Em resposta a este desafio, esta dissertação propõe um modelo de gamificação genérico intitulado GamiProM que permite um desenvolvedor de software criar uma solução gamificada adaptativa para qualquer área fazendo uso de ontologias e regras, visando fornecer representação do conhecimento bem como adicionar um valor semântico à informação gerada pela gamificação e gerenciamento de perfil. O modelo é avaliado com um teste de correlação que identifica a existência de qualquer associação entre as necessidades psicológicas básicas dos usuários e suas motivações coletadas com a aplicação gamificada, desenvolvida para implementar o modelo proposto. Os resultados mostraram que as motivações coletadas dos perfis gamificados dos usuários têm uma correlação acima de 80% com as necessidades psicológicas básicas analisadas.
The use of game design elements in non-game contexts, defined as gamification, is being increasingly used to raise the motivation and engagement of users when they have to execute a task in a non-game environment, such as the workplace, the school or a software application. However, when gamification needs to be implemented, a challenge faced by developers is to identify what game elements will effectively engage the users of a software based on their user profiles and motivational characteristics. Often, many researches tend to not include or only support the most common user types and motivational factors. In response to this challenge, this thesis proposes a generic gamification model entitled GamiProM that allows a software developer to build an adaptive gamified solution for any area by making use of ontologies and rules, aiming to provide knowledge representation as well as add a semantic value to the information generated by gamification and profile management. The model is evaluated with a correlation test that identifies the existence of any association between the basic psychological needs of the users and their motivations collected with the gamified application, developed to implement the proposed model. The results showed that the motivations collected from the gamified profiles of the users have a correlation above 80% with the basic psychological needs analyzed.
Sutterer, Michael [Verfasser]. "User Profile Management and Selection in Context-Aware Service Platforms for Networks Beyond 3G / Michael Sutterer." Kassel : Universitätsbibliothek Kassel, 2009. http://d-nb.info/1000322289/34.
Full textVan, Schalkwyk Liesl-Dana. "The relationship between content providers and users in mobile television / Liesl-Dana van Schalkwyk." Thesis, North-West University, 2006. http://hdl.handle.net/10394/1267.
Full textThesis (M.A. (Communication Studies))--North-West University, Potchefstroom Campus, 2007.
Rawat, Rakesh. "User behaviour modelling in a multi-dimensional environment for personalization and recommendation." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/48135/1/Rakesh_Rawat_Thesis.pdf.
Full textSewards, Sharon Kathleen. "To understand the current user profile of Leeds City Credit Union and examine the reasons for usage." Thesis, University of Leeds, 2011. http://etheses.whiterose.ac.uk/2405/.
Full textBertmar, Sofia, and Johanna Gerhardsen. "Profile based evaluation of what different browsers and browser extensions may be able to learn about a user." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177163.
Full textKhemiri, Rym. "Vers l'OLAP collaboratif pour la recommandation des analyses en ligne personnalisées." Thesis, Lyon 2, 2015. http://www.theses.fr/2015LYO22015/document.
Full textThe objective of this thesis is to provide a collaborative approach to the OLAP involving several users, led by an integrated personalization process in decision-making systems in order to help the end user in their analysis process. Whether personalizing the warehouse model, recommending decision queries or recommending navigation paths within the data cubes, the user need an efficient decision-making system that assist him. We were interested in three issues falling within data warehouse and OLAP personalization offering three major contributions. Our contributions are based on a combination of datamining techniques with data warehouses and OLAP technology. Our first contribution is an approach about personalizing dimension hierarchies to obtain new analytical axes semantically richer for the user that can help him to realize new analyzes not provided by the original data warehouse model. Indeed, we relax the constraint of the fixed model of the data warehouse which allows the user to create new relevant analysis axes taking into account both his/her constraints and his/her requirements. Our approach is based on an unsupervised learning method, the constrained k-means. Our goal is then to recommend these new hierarchy levels to other users of the same user community, in the spirit of a collaborative system in which each individual brings his contribution. The second contribution is an interactive approach to help the user to formulate new decision queries to build relevant OLAP cubes based on its past decision queries, allowing it to anticipate its future analysis needs. This approach is based on the extraction of frequent itemsets from a query load associated with one or a set of users belonging to the same actors in a community organization. Our intuition is that the relevance of a decision query is strongly correlated to the usage frequency of the corresponding attributes within a given workload of a user (or group of users). Indeed, our approach of decision queries formulation is a collaborative approach because it allows the user to formulate relevant queries, step by step, from the most commonly used attributes by all actors of the user community. Our third contribution is a navigation paths recommendation approach within OLAP cubes. Users are often left to themselves and are not guided in their navigation process. To overcome this problem, we develop a user-centered approach that suggests the user navigation guidance. Indeed, we guide the user to go to the most interesting facts in OLAP cubes telling him the most relevant navigation paths for him. This approach is based on Markov chains that predict the next analysis query from the only current query. This work is part of a collaborative approach because transition probabilities from one query to another in the cuboids lattice (OLAP cube) is calculated by taking into account all analysis queries of all users belonging to the same community. To validate our proposals, we present a support system user-centered decision which comes in two subsystems: (1) content personalization and (2) recommendation of decision queries and navigation paths. We also conducted experiments that showed the effectiveness of our analysis online user centered approaches using quality measures such as recall and precision
Sulieman, Dalia. "Towards Semantic-Social Recommender Systems." Phd thesis, Université de Cergy Pontoise, 2014. http://tel.archives-ouvertes.fr/tel-01017586.
Full textSaffar, Illyyne. "Machine learning to infer user behavior in 5G autonomic networks." Thesis, Rennes 1, 2020. http://www.theses.fr/2020REN1S039.
Full textThe main idea of this thesis is to use machine learning/deep learning techniques to estimate and predict user behavior by analyzing 3GPP radio signals. The user behavior is defined in terms of habits and preferences while consuming 5G services. The estimation of user behavior is complex and remains a challenge due to its multidimensional nature. We therefore studied an innovative approach for the user behavior estimation: we use a unified system which jointly as well as parallelly estimates each dimension of behavior. Using methods based on supervised and hybrid / semi-supervised deep-learning, we propose a solution for the detection of the user environment (from Indoor/ Outdoor Detection (IOD) to up to 8 classes). We then propose a solution to detect the mobility categories (Mobility Speed Profile (MSP) Detection) up to 8 speed profiles. Finally, an innovative solution jointly estimates both the environment and the mobility profile using deep learning algorithms and a multitasking architecture. The comparison with the state of the art shows the effectiveness of the proposed methods. This allows to consider its deployment by operators in future
Asfari, Ounas. "Personalized Access to Contextual Information by using an Assistant for Query Reformulation." Thesis, Paris 11, 2011. http://www.theses.fr/2011PA112126.
Full textAccess to relevant information adapted to the needs and the context of the user is areal challenge in Web Search, owing to the increases of heterogeneous resources andthe varied data on the web. There are always certain needs behind the user query,these queries are often ambiguous and shortened, and thus we need to handle thesequeries intelligently to satisfy the user’s needs. For improving user query processing,we present a context-based hybrid method for query expansion that automaticallygenerates new reformulated queries in order to guide the information retrieval systemto provide context-based personalized results depending on the user profile andhis/her context. Here, we consider the user context as the actual state of the task thatthe user is undertaking when the information retrieval process takes place. Thus StateReformulated Queries (SRQ) are generated according to the task states and the userprofile which is constructed by considering related concepts from existing concepts ina domain ontology. Using a task model, we will show that it is possible to determinethe user’s current task automatically. We present an experimental study in order toquantify the improvement provided by our system compared to the direct querying ofa search engine without reformulation, or compared to the personalized reformulationbased on a user profile only. The Preliminary results have proved the relevance of ourapproach in certain contexts
Chamsi, Abu Quba Rana. "On enhancing recommender systems by utilizing general social networks combined with users goals and contextual awareness." Thesis, Lyon 1, 2015. http://www.theses.fr/2015LYO10061/document.
Full textWe are surrounded by decisions to take, what book to read next? What film to watch this night and in the week-end? As the number of items became tremendous the use of recommendation systems became essential in daily life. At the same time social network become indispensable in people’s daily lives; people from different countries and age groups use them on a daily basis. While people are spending time on social networks, they are leaving valuable information about them attracting researchers’ attention. Recommendation is one domain that has been affected by the social networks widespread; the result is the social recommenders’ studies. However, in the literature we’ve found that most of the social recommenders were evaluated over Epinions, flixter and other type of domains based recommender social networks, which are composed of (users, items, ratings and relations). The proposed solutions can’t be extended directly to General Purpose Social Networks (GPSN) like Facebook and Twitter which are open social networks where users can do a variety of useful actions that can be useful for recommendation, but as they can’t rate items, these information are not possible to be used in recommender systems! Moreover, evaluations are based on the known metrics like MAE, and RMSE. This can’t guarantee the satisfaction of users, neither the good quality of recommendation
Tebri, Hamid. "Formalisation et spécification d'un système de filtrage incrémental d'information." Toulouse 3, 2004. http://www.theses.fr/2004TOU30226.
Full textThe context of this thesis work is information filtering systems. Information filtering monitors a stream of incoming documents to find those that match the user's information need called profile. Usually, in order to identify whether a document is relevant or not a score that measures the similarity between a document and a profile is computed. When the score is higher than the threshold the document is selected, otherwise it is rejected. Our contribution is profiles learning and the decision function adaptation. The profile learning consists in constructing at each arrival of relevant document, a temporary profile allowing to reselect the document of interest with the highest score. Afterward, This temporary profile, is integrated in the profile of the user. The decision function adaptation consists to estimate the scores discrete probabilities, then plot the scores distribution using a linear regression. After that, deduce the threshold that permits to optimize this function. The experiments are presented to validate the proposed methods. Keywords: incremental filtering, user profile, temporary profile, reinforcement score, profile learning, adpating decision function, probabilities distribution
Pereira, Matheus. "Representação semântica de perfil dinâmico de usuários em comunidades de prática." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2017. http://hdl.handle.net/10183/177588.
Full textIn communities of practice, learning is built through constant interaction and collaboration of their participants, the social aspect of these environments is crucial for the knowledge construction. For this reason, this work intends to understand how users interact in communities of practice and proposes a dynamic user profile to structure this information. An user profile applied in this context allows us to understand the person, his interests and needs. The representation of participants in communities of practice allow us to develop intelligent learning systems, recommender systems, gamification elements and systems for personalized access and personalized information retrieval. Those mechanisms intend to stimulate participant engagement to promote collaborative learning. In this work, semantic web technologies and ontologies are used to represent this informations. The development of educational software based on the semantic web expands the capacity to implement new learning mechanisms, contributing to the analysis of the interactions and the inferences about user informations. The use of ontologies allows the formalization of information and enables the elaboration of a knowledge network that can be processed and consumed by software agents, contributing to the system interoperability.
Coelho, Andreia Cristina Murteira. "Geração linkedln connection: análise do perfil e das motivações dos utilizadores." Master's thesis, Universidade de Évora, 2017. http://hdl.handle.net/10174/20969.
Full textOPERTI, VALERIO. "Travellers¿ Preferences and Attitudes to understand Travel Behaviour and define Market Segmentation." Doctoral thesis, Politecnico di Torino, 2019. http://hdl.handle.net/11583/2739920.
Full textOlsén, Emma. "Redesign of a website and visual brand language : Development of a new website and graphic profile for an energy efficiency company." Thesis, Luleå tekniska universitet, Institutionen för ekonomi, teknik, konst och samhälle, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-83074.
Full textProjektet som presenteras i den här rapporten är resultatet av ett examensarbete för Civilingenjörslinjen Teknisk Design vid Luleå Tekniska Universitet. Projektet har drivits mot och i samarbete med energiföretaget Leosol under hösten 2020. Leosol har investerat både pengar och tid i annonsering online. Detta har genererat ett större besöksflöde, dock har det inte lett till en ökning av bokningar av deras tjänster. Leosol vill öka antalet bokningar som sker via deras hemsida. Detta examensarbete har utförts för att bidra till detta mål. Projektet har därför kretsat kring att förstärka Leosols varumärke genom att utforska olika alternativ till en ny grafisk profil och ett nytt visuellt varumärke. Dessa nya varumärkesverktyg kommer sedan att implementeras i en helt ny hemsida. En variant av IDEO’s Human-Centered Designprocess har använts under projektet för att uppnå detta. Genom att arbeta nära och tillsammans med användaren, i detta fall Leosols kunder, har de nuvarande problemen samt olika lösningar förtydligats och identifierats. Under processen har den grafiska profilen och wireframen för hemsidan skapats separat. I sista fasen i projektet kombinerades dessa till det slutgiltiga konceptet. Projektet har resulterat i en ompositionering av Leosols varumärke genom att skapa en mer professionell ton. Den grafiska profilen har sammanfattats i form av en poster. Denna beskriver den nya logotypen, färger, typsnitt, bildspråk samt en kort instruktion som förklarar hur dessa bör appliceras. Den nya grafiska profilen applicerades sedan på wireframen, för att skapa den slutgiltiga hemsidan. Hemsidans layout är skapad för att användaren ska snabbt kunna identifiera Leosol’s identitet samt deras tjänster. Genom att implementera en hemsida som verkligen representerar Leosol ökar chanserna för att antalet bokningar på deras hemsida stiger.
Ben, Ticha Sonia. "Recommandation personnalisée hybride." Thesis, Université de Lorraine, 2015. http://www.theses.fr/2015LORR0168/document.
Full textFace to the ongoing rapid expansion of the Internet, user requires help to access to items that may interest her or him. A personalized recommender system filters relevant items from huge catalogue to particular user by observing his or her behavior. The approach based on observing user behavior from his interactions with the website is called usage analysis. Collaborative Filtering and Content-Based filtering are the most widely used techniques in personalized recommender system. Collaborative filtering uses only data from usage analysis to build user profile, while content-based filtering relies in addition on semantic information of items. Hybrid approach is another important technique, which combines collaborative and content-based methods to provide recommendations. The aim of this thesis is to present a new hybridization approach that takes into account the semantic information of items to enhance collaborative recommendations. Several approaches have been proposed for learning a new user profile inferring preferences for semantic information describing items. For each proposed approach, we address the sparsity and the scalability problems. We prove also, empirically, an improvement in recommendations accuracy against collaborative filtering and content-based filtering
Kirmemis, Oznur. "Openmore: A Content-based Movie Recommendation System." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609479/index.pdf.
Full textNoël, Romain. "Contribution à la veille stratégique : DOWSER, un système de découverte de sources Web d’intérêt opérationnel." Thesis, Rouen, INSA, 2014. http://www.theses.fr/2014ISAM0011/document.
Full textThe constant growth of the Web in recent years has made more difficult the discovery of new sources of information on a given topic. This is a prominent problem for Expert in Intelligence Analysis (EIA) who are faced with the search of pages on specific and sensitive topics. Because of their lack of popularity or because they are poorly indexed due to their sensitive content, these pages are hard to find with traditional search engine. In this article, we describe a new Web source discovery system called DOWSER. The goal of this system is to provide users with new sources of information related to their needs without considering the popularity of a page unlike classic Information Retrieval tools. The expected result is a balance between relevance and originality, in the sense that the wanted pages are not necessary popular. DOWSER in based on a user profile to focus its exploration of the Web in order to collect and index only related Web documents
Jeunet, Camille. "Understanding & Improving Mental-Imagery Based Brain-Computer Interface (Mi-Bci) User-Training : towards A New Generation Of Reliable, Efficient & Accessible Brain- Computer Interfaces." Thesis, Bordeaux, 2016. http://www.theses.fr/2016BORD0221/document.
Full textMental-imagery based brain-computer interfaces (MI-BCIs) enable users to interact with theirenvironment using their brain-activity alone, by performing mental-imagery tasks. This thesisaims to contribute to the improvement of MI-BCIs in order to render them more usable. MIBCIsare bringing innovative prospects in many fields, ranging from stroke rehabilitation tovideo games. Unfortunately, most of the promising MI-BCI based applications are not yetavailable on the public market since an estimated 15 to 30% of users seem unable to controlthem. A lot of research has focused on the improvement of signal processing algorithms.However, the potential role of user training in MI-BCI performance seems to be mostlyneglected. Controlling an MI-BCI requires the acquisition of specific skills, and thus anappropriate training procedure. Yet, although current training protocols have been shown tobe theoretically inappropriate, very little research is done towards their improvement. Our mainobject is to understand and improve MI-BCI user-training. Thus, first we aim to acquire a betterunderstanding of the processes underlying MI-BCI user-training. Next, based on thisunderstanding, we aim at improving MI-BCI user-training so that it takes into account therelevant psychological and cognitive factors and complies with the principles of instructionaldesign. Therefore, we defined 3 research axes which consisted in investigating the impact of(1) cognitive factors, (2) personality and (3) feedback on MI-BCI performance. For each axis,we first describe the studies that enabled us to determine which factors impact MI-BCIperformance; second, we describe the design and validation of new training approaches; thethird part is dedicated to future work. Finally, we propose a solution that could enable theinvestigation of MI-BCI user-training using a multifactorial and dynamic approach: an IntelligentTutoring System
Silva, Jesús, Naveda Alexa Senior, Suarez Ramiro Gamboa, Palma Hugo Hernández, and Núẽz William Niebles. "Method for Collecting Relevant Topics from Twitter supported by Big Data." Institute of Physics Publishing, 2020. http://hdl.handle.net/10757/652145.
Full textJunior, Plinio Thomaz Aquino. "PICaP: padrões e personas para expressão da diversidade de usuários no projeto de interação." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-15092008-144412/.
Full textAccommodating users\' profile diversity in systems interface projects is a frequent problem for the human computer interface designer. Therefore, his/her user is faced with barriers in the use of interfaces which were not designed for his/her profile. This work presents a solution for expressing and accommodating users\' diversity, which is useful for the HCI designer, especially for those who design families of products. PICAPS are interface design patterns with layers indexed by personas. The interface design patterns support the designer in employing proven solutions, for they represent a recurrent problem and its abstract solution in such a way that this solution can be applied to different instantiations of the same problem. PICAPs are structured in multiple layers to make possible the users\' diversity accommodation. The layers are indexed by personas as user\'s characterization resource. This concept has been applied to electronic government services, because such systems should be usable by any citizen and therefore are a good example of the user diversity problem. A field research with 25 designers has been performed to check the concept´s applicability.
Chouchani, Nadia. "Une approche de détection des communautés d'intérêt dans les réseaux sociaux : application à la génération d'IHM personnalisées." Thesis, Valenciennes, 2018. http://www.theses.fr/2018VALE0048/document.
Full textNowadays, Social Networks are ubiquitous in all aspects of life. A fundamental feature of these networks is the connection between users. These are gradually engaged to contribute by adding their own content. So Social Networks also integrate user creations ; which encourages researchers to revisit the methods of their analysis. This field has now led to a great deal of research in recent years. One of the main problems is the detection of communities. The research presented in this thesis is positioned in the themes of the semantic analysis of Social Networks and the generation of personalized interactive applications. This thesis proposes an approach for the detection of communities of interest in Social Networks. This approach models social data in the form of a social user profile represented by an ontology. It implements a method for the Sentiment Analysis based on the phenomena of social influence and homophily. The detected communities are exploited in the generation of personalized interactive applications. This generation is based on an approach of type MDA, independent of the application domain. In addition, this manuscript reports an evaluation of our proposals on data from Real Social Networks
Scheid, Fernando. "Acesso e utilização a bases de dados: estudo de caso da Biblioteca do IFSul – Câmpus Charqueadas." Universidade do Vale do Rio dos Sinos, 2017. http://www.repositorio.jesuita.org.br/handle/UNISINOS/6666.
Full textMade available in DSpace on 2017-10-03T12:30:13Z (GMT). No. of bitstreams: 1 Fernando Scheid_.pdf: 1316185 bytes, checksum: 82e933449d1319408b251dc78485aee2 (MD5) Previous issue date: 2017-07-18
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Este trabalho tem por objetivo realizar umestudo sobre o conhecimento e a utilização de bases de dados em pesquisas por parte dos alunos da graduação e pós-graduação do Instituto Federal Sul-rio-grandense Câmpus Charqueadas, tendo como cenário principal a Biblioteca com a finalidade de compreender o perfil de pesquisa desses usuários. A metodologia utilizada foi um estudo de caso e como instrumentos de coleta de dados, dois questionários: o primeiro questionário com questões fechadas incluindo comentários e sugestões e outro questionário, posteriormente, com perguntas abertas. Após a análise da coleta de dados chegou-se à conclusão de que muitos usuários desconhecem ou não utilizam bases de dados (51%) para realizarem suas pesquisas, porém as bases de dados mais conhecidas são Scielo, Portal de Periódicos da Capes e Web of Science. O curso de pós-graduação utiliza mais esses recursos em relação aos cursos de graduação, apesar de 19% afirmarem que desconhecem ou não utilizam bases de dados. Entre os sites de busca na internet o Google teve o maior destaque, com 65%. Como sugestão dos usuários está a realização de capacitações e treinamentos para que essas fontes de informação possam ser utilizadas com maior frequência. Por fim, esta pesquisa apresenta dois produtos: o diagnóstico com relação ao conhecimento e utilização de bases de dados em pesquisa pelos alunos do IFSul Câmpus Charqueadas e a proposta de um projeto de tutorial relativo à utilização de bases de dados em pesquisas para ser disponibilizado na página da Biblioteca, a fim de qualificar a busca por informações a partir de fontes online, oferecendo outra possibilidade de acesso a acervos.
This work aims to carry out a study about the knowledge and usage of data bases in researches done by the Graduation and Post-Graduation students of the Federal Institute Sul-rio-grandense, Campus Charqueadas, having the Library as the main scenario to understand the research profile of those users. The methodology used was a case study and the instruments of data collection were two questionnaires: the first questionnaire with closed questions including comments and suggestions and another questionnaire, used later, with open questions. After analyzing the data collection, it was concluded that many users are unaware or do not use databases (51%) to carry out their researches, but the most well-known databases are Scielo, Periódicos Capes and Web of Science. The postgraduate course uses these resources more in relation to undergraduate courses, although 19% state that they do not know or do not use databases. Among the search engines on the internet, Google had the biggest highlight, with 65%. As a suggestion of the users, the execution of training courses about these sources of information can be used more frequently. Finally, this research presents two products: the diagnosis regarding the knowledge and use of databases in research by the students of IFSul Campus Charqueadas and the proposal of a project of tutorial on the use of databases in researches to be available in Library website in order to qualify the search for information from online sources, offering another possibility of access to collections.
Diallo, Mouhamadou Saliou. "Découverte de règles de préférences contextuelles : application à la construction de profils utilisateurs." Thesis, Tours, 2015. http://www.theses.fr/2015TOUR4052/document.
Full textThe use of preferences arouses a growing interest to personalize response to requests and making targeted recommandations. Nevertheless, manual construction of preferences profiles remains complex and time-consuming. In this context, we present in this thesis a new automatic method for preferences elicitation based on data mining techniques. Our proposal is a two phase algorithm : (1) Extracting all contextual preferences rules from a set of user preferences and (2) Building user profile. At the end of the first phase, we notice that there is to much preference rules which satisfy the fixed constraints then in the second phase we eliminate the superfluous preferences rules. In our approach a user profile is constituted by the set of contextual preferences rules resulting of the second phase. A user profile must satisfy conciseness and soundness properties. The soundness property guarantees that the preference rules specifying the profiles are in agreement with a large set of the user preferences, and contradict a small number of them. On the other hand, conciseness implies that profiles are small sets of preference rules. We also proposed four predictions methods which use the extracted profiles. We validated our approach on a set of real-world movie rating datasets built from MovieLens and IMDB. The whole movie rating database consists of 800,156 votes from 6,040 users about 3,881 movies. The results of these experiments demonstrates that the conciseness of user profiles is controlled by the minimal agreement threshold and that even with strong reduction, the soundness of the profile remains at an acceptable level. These experiment also show that predictive qualities of some of our ranking strategies outperform SVMRank in several situations
Aissaoui, Djamel. "Diagnostic des déficits et des besoins liés au vieillissement : apports pour la conception de gérontotechnologies." Thesis, Paris 8, 2018. http://www.theses.fr/2018PA080031/document.
Full textThe observed aging of the population is often responsible of deficits causing a loss of autonomy & handicap situation which turns to be more and more important. The encountered difficulties do not always have therapeutic alternatives (i.e. neither through drugs nor surgery). However, having the symptoms treated, reduced or neutralized is a must. The digital technologies seem capable to play a role on aging consequences, on quality of life & autonomy helping, assisting, stimulating, reeducating elderly population.Nevertheless, the digital opportunity does not seem to have success among elderly people for many different & complex reasons. Fair to underline that challenges are faced while trying to integrate these technologies : set up, organization, assessment, acceptance, diagnosis etc. The biggest challenge though remains the design of the technology itself. In fact, professionals need to have multiple competences and know how to analyze requirements, diagnose through multiple clinical & environment situations (multiple pathologies, multiple disabilities, environment assessment, etc.) in order to propose exhaustive ergonomic, technical & technological solutions. Having this said, the profiles who are design oriented (e.g. IT, engineers, architects, etc.) and who own the design & build of the technologies have limited capacities in global, multidimensional assessment on autonomy loss & its environment.Our thesis aims at proposing a digital device able to help concretely professionals specialized in healthcare, reintegration, and design while providing a methodology to analyze deficits through precise profiling of environment, potentials and constraints. That is the reason why, our work considers professionals’ multidisciplinary, geriatrics complex assessment.Our approach consists on an IT device with has multiple advantages: a check list in order to evaluate deficiencies linked to aging and prevent mistakes or omissions during the assessment ;a standardization through precise testing ;a definition of a qualitative & quantitative profile of the person and the environment ;a strong assessment of the digital technologies focusing on elderly population.Our tool, named DAD « Design for Adapted Device » was designed according to a model focusing on users. At the very first step of the design, primary users (i.e. elderly patients) were consulted and in the conceptual framework, we picked the gold standards. Then, we launched several prototypes which were subjects to testing by our secondary users (i.e. diagnosis professionals). Last but not least, we designed the final version of our tool and we had gerontology professionals (medico-social professionals & design oriented profiles) going through tests in front of patients. Our testing results looked encouraging and suggest that our tool is reliable and valid.The tool should sensitive, encourage and guide the digital actors (such as industrials, designers, IT engineers, etc.) as well as health professionals (such as doctors, nurses, physiotherapists, ergotherapists, psychologists, etc.) to strongly consider elderly patients in their therapeutic approaches, in their decision making or in their different to-be projects (e.g. design, prescription and follow up, etc.)
Mou, Lei. "Toward a customized privacy preservation method in mobile tourism applications." Thesis, Université Grenoble Alpes (ComUE), 2016. http://www.theses.fr/2016GREAM063.
Full textThe rapid development of ICT(Information and Communication Technology) brought huge impact to all industries. Mobile internet, Web 2.0, positioning technology are deployed world-widely, that initialized inner request of new technologies in the field of tourism as well. By enjoying the convenience brought by new technologies, more and more users starting to focus on privacy issues.As known, there is a contradiction between the quality of recommended location-based services and privacy. Detailed user profile and precise location information are needed for providing location-based service with high efficiency and quality, while privacy preservation requires hiding user's profile and location. Many recent researches aims to seek a balance between them, to obtain the best quality of the LBS in the context of the least exposed user profile content and location information.In this thesis, the author focused mainly on the privacy of mobile user profile, which covers both personal characteristics and location information.1, Customized user privacy model considering both personal attributes and spatial and temporal location is defined for mobile user.In this research, we proposed customized privacy model for every user to define, his/her own meaning of privacy. With this model, for different travel purpose, or even for different time and location, they can have different definitions for their privacy.2, Minimized the data to be stored on server.Profiles are stored in two different ways, complete profile is stored on the client side, and only the values of the attributes that are able for the users to share are stored on the server side, thus minimized the data to be stored on server.3, Customized levels of granularity of disclosure of location and time are adjustable for users.For frequently changing attributes such as location and time, user can disclose them with suitable granularity, in order to obtain expected service from the service providers.Keywords: privacy, location, user profile, mobile, tourism