Academic literature on the topic 'User profile'
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Journal articles on the topic "User profile"
K.R.Ananthapadmanaban, Author, and S. K. Srivatsa. "Personalisation of User Profile: Creating User Profile Ontology for Tamilnadu Tourism." International Journal of Computer Applications 23, no. 8 (June 30, 2011): 42–47. http://dx.doi.org/10.5120/2903-3808.
Full textGrida, Mohamed, Lamiaa Fayed, and Mohamed Hassan. "User Profile: Theoretical Background." International Journal of Engineering Trends and Technology 68, no. 8 (August 25, 2020): 10–17. http://dx.doi.org/10.14445/22315381/ijett-v68i8p203s.
Full textCASTELLANO, GIOVANNA, CIRO CASTIELLO, DANILO DELL'AGNELLO, ANNA MARIA FANELLI, CORRADO MENCAR, and MARIA ALESSANDRA TORSELLO. "LEARNING FUZZY USER PROFILES FOR RESOURCE RECOMMENDATION." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 18, no. 04 (August 2010): 389–410. http://dx.doi.org/10.1142/s0218488510006611.
Full textPetersen, Francoise, Giovanni Bartolomeo, and Mike Pluke. "Personalization and User Profile Management." International Journal of Interactive Mobile Technologies (iJIM) 2, no. 4 (September 30, 2008): 25. http://dx.doi.org/10.3991/ijim.v2i4.666.
Full textAmbika, Mani, and K. Latha. "Intelligence Based User Profile Generation." Applied Mechanics and Materials 573 (June 2014): 618–23. http://dx.doi.org/10.4028/www.scientific.net/amm.573.618.
Full textEyharabide, Victoria, and Analía Amandi. "Ontology-based user profile learning." Applied Intelligence 36, no. 4 (June 3, 2011): 857–69. http://dx.doi.org/10.1007/s10489-011-0301-4.
Full textZeng, Wenjing, Rui Tang, Haizhou Wang, Xingshu Chen, and Wenxian Wang. "User Identification Based on Integrating Multiple User Information across Online Social Networks." Security and Communication Networks 2021 (May 25, 2021): 1–14. http://dx.doi.org/10.1155/2021/5533417.
Full textIggui, Taous, Hassina Nacer, Youcef Sklab, and Taklit Ait Radi. "Web Application for User Profiling." International Journal of Information Systems in the Service Sector 8, no. 2 (April 2016): 44–56. http://dx.doi.org/10.4018/ijisss.2016040104.
Full textTamboli, Najneen, and Sathish Kumar Penchala. "User Profile Based Personalized Web Search." International Journal of Managing Public Sector Information and Communication Technologies 7, no. 3 (September 30, 2016): 15–22. http://dx.doi.org/10.5121/ijmpict.2016.7302.
Full textKaya, Buket. "User Profile Based Paper Recommendation System." International Journal of Intelligent Systems and Applications in Engineering 2, no. 6 (June 29, 2018): 151–57. http://dx.doi.org/10.18201/ijisae.2018642079.
Full textDissertations / Theses on the topic "User profile"
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 textBooks on the topic "User profile"
Profile, FT, ed. FT Profile Business Information user manual. Sunbury on Thames: FT Profile, 1991.
Find full textComputer Systems Laboratory (U.S.), ed. The user interface component of the applications portability profile. Gaithersburg, MD: Computer Systems Laboratory, National Institute of Standards and Technology, 1994.
Find full textDavid, Saunders, and Ames Research Center, eds. PROFILE: Airfoil geometry manipulation and display : user's guide. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1997.
Find full textGeorge C. Marshall Space Flight Center., ed. User's guide for monthly vector wind profile model. [Marshall Space Flight Center], Ala: National Aeronautics and Space Administration, Marshall Space Flight Center, 1999.
Find full textClift, Laurence. Ergonomics evaluation into the safety of stepladders: User profile and dynamic testing phase 2. [Sudbury]: HSE, 2002.
Find full textBatjes, N. H. World inventory of soil emission potentials, Wise 2.1: Profile database user manual and coding protocols. Wageningen, the Netherlands: International Soil Reference and Information Centre, 1995.
Find full textBoland, Tim. Government Open Systems Interconnection Profile users' guide. Gaithersburg, MD: U.S. Dept. of Commerce, National Institute of Standards and Technology, 1989.
Find full textBoland, Tim. Government open systems interconnection profile users' guide. Washington, D.C: National Institute of Standards and Technology, 1989.
Find full textBoland, Tim. Government open systems interconnection profile users' guide. Gaithersburg, MD: U.S. Dept. of Commerce, National Institute of Standards and Technology, 1989.
Find full textMoller, Rosa Maria. Profile of California computer and internet users. Sacramento, CA: California State Library, California Research Bureau, 2000.
Find full textBook chapters on the topic "User profile"
Weik, Martin H. "user profile." In Computer Science and Communications Dictionary, 1875. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_20606.
Full textWeik, Martin H. "station user profile." In Computer Science and Communications Dictionary, 1662. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_18206.
Full textWeik, Martin H. "workstation user profile." In Computer Science and Communications Dictionary, 1932. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_21222.
Full textWeik, Martin H. "operator-user profile." In Computer Science and Communications Dictionary, 1157. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_12916.
Full textWeik, Martin H. "system operator-user profile." In Computer Science and Communications Dictionary, 1722. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_18910.
Full textCatrinescu, Vlad, and Trevor Seward. "Configuring the User Profile Service." In Deploying SharePoint 2016, 141–61. Berkeley, CA: Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-1999-7_7.
Full textCatrinescu, Vlad, and Trevor Seward. "Configuring the User Profile Service." In Deploying SharePoint 2019, 187–211. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4526-2_7.
Full textKuflik, Tsvi, Bracha Shapira, Yuval Elovici, and Adlai Maschiach. "Privacy Preservation Improvement by Learning Optimal Profile Generation Rate." In User Modeling 2003, 168–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44963-9_23.
Full textKumar, Harshit, and Hong-Gee Kim. "Using Folksonomies for Building User Interest Profile." In User Modeling, Adaption and Personalization, 438–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22362-4_46.
Full textKamba, Tomonari, and Laurent Freléchoux. "Where to locate user profiles of personalized applications? — A user profile management agent —." In Human-Computer Interaction INTERACT ’97, 555–62. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-0-387-35175-9_83.
Full textConference papers on the topic "User profile"
Gatziolis, Kleanthis, and Anthony C. Boucouvalas. "User profile extraction engine." In PCI '16: 20th Pan-Hellenic Conference on Informatics. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/3003733.3003761.
Full textChen Yu, Yu Yang, Zhang Wei, and Shen Junyi. "Analyzing User Behavior History for constructing user profile." In 2008 IEEE International Symposium on IT in Medicine and Education (ITME). IEEE, 2008. http://dx.doi.org/10.1109/itme.2008.4743884.
Full textOuaftouh, Sara, Ahmed Zellou, and Ali Idri. "User profile model: A user dimension based classification." In 2015 10th International Conference on Intelligent Systems: Theories and Applications (SITA). IEEE, 2015. http://dx.doi.org/10.1109/sita.2015.7358378.
Full textTripathy, Amiya Kumar, and Royston Olivera. "UProRevs-User Profile Relevant Results." In 10th International Conference on Information Technology (ICIT 2007). IEEE, 2007. http://dx.doi.org/10.1109/icit.2007.39.
Full textFlores, Marcel, and Aleksandar Kuzmanovic. "Synthoid: Endpoint User Profile Control." In 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT). IEEE, 2014. http://dx.doi.org/10.1109/wi-iat.2014.104.
Full textXu, Yuyang, and Bing Li. "Sentiment Classification Incorporating User Profile." In 2017 4th International Conference on Information Science and Control Engineering (ICISCE). IEEE, 2017. http://dx.doi.org/10.1109/icisce.2017.144.
Full textWischenbart, Martin, Stephan Lechner, Stefan Mitsch, Elisabeth Kapsammer, Angelika Kusel, Birgit Pröll, Werner Retschitzegger, Wieland Schwinger, Johannes Schönböck, and Manuel Wimmer. "User profile integration made easy." In the 21st international conference companion. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2187980.2188227.
Full textTripathy, Amiya Kumar, and Royston Olivera. "UProRevs-User Profile Relevant Results." In 10th International Conference on Information Technology (ICIT 2007). IEEE, 2007. http://dx.doi.org/10.1109/icoit.2007.4418311.
Full textPark, Sung-Hyuk, Ho-Jin Lee, Sang-Pil Han, and Dong-Hoon Lee. "User Age Profile Assessment Using SMS Network Neighbors' Age Profiles." In 2009 International Conference on Advanced Information Networking and Applications Workshops (WAINA). IEEE, 2009. http://dx.doi.org/10.1109/waina.2009.136.
Full textLabriji, Amine, Salma Charkaoui, Issam Abdelbaki, and Abdelwahed Namir. "User interest center based on a semantic user profile." In 2016 5th International Conference on Multimedia Computing and Systems (ICMCS). IEEE, 2016. http://dx.doi.org/10.1109/icmcs.2016.7905556.
Full textReports on the topic "User profile"
Tessin, T. SPI/UNIX user manual: Security Profile Inspector. Office of Scientific and Technical Information (OSTI), November 1989. http://dx.doi.org/10.2172/6845654.
Full textZeilenga, K. SASLprep: Stringprep Profile for User Names and Passwords. RFC Editor, February 2005. http://dx.doi.org/10.17487/rfc4013.
Full textHilt, V., G. Camarillo, J. Rosenberg, and D. Worley. A User Agent Profile Data Set for Media Policy. RFC Editor, December 2012. http://dx.doi.org/10.17487/rfc6796.
Full textPetrie, D. A Framework for Session Initiation Protocol User Agent Profile Delivery. Edited by S. Channabasappa. RFC Editor, March 2011. http://dx.doi.org/10.17487/rfc6080.
Full textBocci, M., L. Levrau, and D. Frost. MPLS Transport Profile User-to-Network and Network-to-Network Interfaces. RFC Editor, April 2011. http://dx.doi.org/10.17487/rfc6215.
Full textWitherspoon, T. T. FY 1997 Hanford telecommunication and informations system user profile, milestone IRM-097-003. Office of Scientific and Technical Information (OSTI), September 1997. http://dx.doi.org/10.2172/325205.
Full textClement, Michael. Engineering With Nature website user guide. Engineer Research and Development Center (U.S.), March 2022. http://dx.doi.org/10.21079/11681/43440.
Full textDubeck, Margaret M., Jonathan M. B. Stern, and Rehemah Nabacwa. Learning to Read in a Local Language in Uganda: Creating Learner Profiles to Track Progress and Guide Instruction Using Early Grade Reading Assessment Results. RTI Press, June 2021. http://dx.doi.org/10.3768/rtipress.2021.op.0068.2106.
Full textKochner, Kathryn M., and George W. Thomas. USAR Enlisted Loss Profiles. Fort Belvoir, VA: Defense Technical Information Center, November 1990. http://dx.doi.org/10.21236/ada239108.
Full textCarlson, Jake. The Data Curation Profiles Toolkit User Guide. Purdue University Libraries / Distributed Data Curation Center, November 2010. http://dx.doi.org/10.5703/1288284315650.
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