Literatura académica sobre el tema "Information retrieval"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "Information retrieval".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Artículos de revistas sobre el tema "Information retrieval"
Jalali, Ali, Shannon Hicks-Jalali, Robert J. Sica, Alexander Haefele y Thomas von Clarmann. "A practical information-centered technique to remove a priori information from lidar optimal-estimation-method retrievals". Atmospheric Measurement Techniques 12, n.º 7 (18 de julio de 2019): 3943–61. http://dx.doi.org/10.5194/amt-12-3943-2019.
Texto completoZhou, Minqiang, Bavo Langerock, Mahesh Kumar Sha, Nicolas Kumps, Christian Hermans, Christof Petri, Thorsten Warneke et al. "Retrieval of atmospheric CH<sub>4</sub> vertical information from ground-based FTS near-infrared spectra". Atmospheric Measurement Techniques 12, n.º 11 (25 de noviembre de 2019): 6125–41. http://dx.doi.org/10.5194/amt-12-6125-2019.
Texto completoRubin, Ohad y Jonathan Berant. "Retrieval-Pretrained Transformer: Long-range Language Modeling with Self-retrieval". Transactions of the Association for Computational Linguistics 12 (2024): 1197–213. http://dx.doi.org/10.1162/tacl_a_00693.
Texto completoFournier, N., P. Stammes, M. de Graaf, R. van der A, A. Piters, M. Grzegorski y A. Kokhanovsky. "Improving cloud information over deserts from SCIAMACHY Oxygen A-band measurements". Atmospheric Chemistry and Physics 6, n.º 1 (25 de enero de 2006): 163–72. http://dx.doi.org/10.5194/acp-6-163-2006.
Texto completoLokhande, Kalyani y Dhanashree Tayade. "English-Marathi Cross Language Information Retrieval System". International Journal of Advanced Research in Computer Science and Software Engineering 7, n.º 8 (30 de agosto de 2017): 112. http://dx.doi.org/10.23956/ijarcsse.v7i8.34.
Texto completoFrankenberg, C., O. Hasekamp, C. O'Dell, S. Sanghavi, A. Butz y J. Worden. "Aerosol information content analysis of multi-angle high spectral resolution measurements and its benefit for high accuracy greenhouse gas retrievals". Atmospheric Measurement Techniques Discussions 5, n.º 2 (16 de abril de 2012): 2857–85. http://dx.doi.org/10.5194/amtd-5-2857-2012.
Texto completoFrankenberg, C., O. Hasekamp, C. O'Dell, S. Sanghavi, A. Butz y J. Worden. "Aerosol information content analysis of multi-angle high spectral resolution measurements and its benefit for high accuracy greenhouse gas retrievals". Atmospheric Measurement Techniques 5, n.º 7 (27 de julio de 2012): 1809–21. http://dx.doi.org/10.5194/amt-5-1809-2012.
Texto completoShi, Chong, Makiko Hashimoto y Teruyuki Nakajima. "Remote sensing of aerosol properties from multi-wavelength and multi-pixel information over the ocean". Atmospheric Chemistry and Physics 19, n.º 4 (26 de febrero de 2019): 2461–75. http://dx.doi.org/10.5194/acp-19-2461-2019.
Texto completoWood, Norman B. y Tristan S. L'Ecuyer. "What millimeter-wavelength radar reflectivity reveals about snowfall: an information-centric analysis". Atmospheric Measurement Techniques 14, n.º 2 (4 de febrero de 2021): 869–88. http://dx.doi.org/10.5194/amt-14-869-2021.
Texto completoP, Jennifer. "Indexing Techniques on Information Retrieval". International Journal of Psychosocial Rehabilitation 24, n.º 1 (20 de enero de 2020): 1716–20. http://dx.doi.org/10.37200/ijpr/v24i1/pr200271.
Texto completoTesis sobre el tema "Information retrieval"
Bartow, Paul J. "Information retrieval /". Online version of thesis, 1991. http://hdl.handle.net/1850/12169.
Texto completoLui, Chang. "Synatic Information Retrieval". Thesis, University of Ulster, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.516287.
Texto completoDunlop, Mark David. "Multimedia information retrieval". Thesis, University of Glasgow, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.358626.
Texto completoKeim, Michelle. "Bayesian information retrieval /". Thesis, Connect to this title online; UW restricted, 1997. http://hdl.handle.net/1773/8937.
Texto completoBrucato, Matteo. "Temporal Information Retrieval". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amslaurea.unibo.it/5690/.
Texto completoMorgenroth, Karlheinz. "Kontextbasiertes Information-Retrieval : Modell, Konzeption und Realisierung kontextbasierter Information-Retrieval-Systeme /". Berlin : Logos, 2006. http://deposit.ddb.de/cgi-bin/dokserv?id=2786087&prov=M&dok_var=1&dok_ext=htm.
Texto completoKoenders, Michael. "FROM MUSIC INFORMATION RETRIEVAL (MIR) TO INFORMATION RETRIEVAL FOR MUSIC (IRM)". Thesis, The University of Sydney, 2016. http://hdl.handle.net/2123/16914.
Texto completoGraf, Erik. "Human information processing based information retrieval". Thesis, University of Glasgow, 2011. http://theses.gla.ac.uk/5188/.
Texto completoAbdulahhad, Karam. "Information retrieval modeling by logic and lattice : application to conceptual information retrieval". Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENM014/document.
Texto completoThis thesis is situated in the context of logic-based Information Retrieval (IR) models. The work presented in this thesis is mainly motivated by the inadequate term-independence assumption, which is well-accepted in IR although terms are normally related, and also by the inferential nature of the relevance judgment process. Since formal logics are well-adapted for knowledge representation, and then for representing relations between terms, and since formal logics are also powerful systems for inference, logic-based IR thus forms a candidate piste of work for building effective IR systems. However, a study of current logic-based IR models shows that these models generally have some shortcomings. First, logic-based IR models normally propose complex, and hard to obtain, representations for documents and queries. Second, the retrieval decision d->q, which represents the matching between a document d and a query q, could be difficult to verify or check. Finally, the uncertainty measure U(d->q) is either ad-hoc or hard to implement. In this thesis, we propose a new logic-based IR model to overcome most of the previous limits. We use Propositional Logic (PL) as an underlying logical framework. We represent documents and queries as logical sentences written in Disjunctive Normal Form. We also argue that the retrieval decision d->q could be replaced by the validity of material implication. We then exploit the potential relation between PL and lattice theory to check if d->q is valid or not. We first propose an intermediate representation of logical sentences, where they become nodes in a lattice having a partial order relation that is equivalent to the validity of material implication. Accordingly, we transform the checking of the validity of d->q, which is a computationally intensive task, to a series of simple set-inclusion checking. In order to measure the uncertainty of the retrieval decision U(d->q), we use the degree of inclusion function Z that is capable of quantifying partial order relations defined on lattices. Finally, our model is capable of working efficiently on any logical sentence without any restrictions, and is applicable to large-scale data. Our model also has some theoretical conclusions, including, formalizing and showing the adequacy of van Rijsbergen assumption about estimating the logical uncertainty U(d->q) through the conditional probability P(q|d), redefining the two notions Exhaustivity and Specificity, and the possibility of reproducing most classical IR models as instances of our model. We build three operational instances of our model. An instance to study the importance of Exhaustivity and Specificity, and two others to show the inadequacy of the term-independence assumption. Our experimental results show worthy gain in performance when integrating Exhaustivity and Specificity into one concrete IR model. However, the results of using semantic relations between terms were not sufficient to draw clear conclusions. On the contrary, experiments on exploiting structural relations between terms were promising. The work presented in this thesis can be developed either by doing more experiments, especially about using relations, or by more in-depth theoretical study, especially about the properties of the Z function
Romano, Nicholas C., Dmitri G. Roussinov, Jay F. Nunamaker y Hsinchun Chen. "Collaborative Information Retrieval Environment: Integration of Information Retrieval with Group Support Systems". HICSS, 1999. http://hdl.handle.net/10150/105688.
Texto completoObservations of Information Retrieval (IR) system user experiences reveal a strong desire for collaborative search while at the same time suggesting that collaborative capabilities are rarely, and then only in a limited fashion, supported by current searching and visualization tools. Equally interesting is the fact that observations of user experiences with Group Support Systems (GSS) reveal that although access to external information and the ability to search for relevant material is often vital to the progress of GSS sessions, integrated support for collaborative searching and visualization of results is lacking in GSS systems. After reviewing both user experiences described in IR and GSS literature and observing and interviewing users of existing IR and GSS commercial and prototype systems, the authors conclude that there is an obvious demand for systems supporting multi-user IR.. It is surprising to the authors that very little attention has been given to the common ground shared by these two important research domains. With this in mind, our paper describes how user experiences with IR and GSS systems has shed light on a promising new area of collaborative research and led to the development of a prototype that merges the two paradigms into a Collaborative Information Retrieval Environment (CIRE). Finally the paper presents theory developed from initial user experiences with our prototype and describes plans to test the efficacy of this new paradigm empirically through controlled experimentation.
Libros sobre el tema "Information retrieval"
Lin, Hongfei, Min Zhang y Liang Pang, eds. Information Retrieval. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88189-4.
Texto completoGrossman, David A. y Ophir Frieder. Information Retrieval. Dordrecht: Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-1-4020-3005-5.
Texto completoFuhr, Norbert, ed. Information Retrieval. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76981-8.
Texto completoZhang, Shichao, Tie-Yan Liu, Xianxian Li, Jiafeng Guo y Chenliang Li, eds. Information Retrieval. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01012-6.
Texto completoWen, Jirong, Jianyun Nie, Tong Ruan, Yiqun Liu y Tieyun Qian, eds. Information Retrieval. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68699-8.
Texto completoGker, Aye y John Davies, eds. Information Retrieval. Chichester, UK: John Wiley & Sons, Ltd, 2009. http://dx.doi.org/10.1002/9780470033647.
Texto completoBraslavski, Pavel, Ilya Markov, Panos Pardalos, Yana Volkovich, Dmitry I. Ignatov, Sergei Koltsov y Olessia Koltsova, eds. Information Retrieval. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41718-9.
Texto completoDou, Zhicheng, Qiguang Miao, Wei Lu, Jiaxin Mao y Guang Jia, eds. Information Retrieval. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-56725-5.
Texto completoZhang, Qi, Xiangwen Liao y Zhaochun Ren, eds. Information Retrieval. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31624-2.
Texto completoHersh, William. Information Retrieval. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-78703-9.
Texto completoCapítulos de libros sobre el tema "Information retrieval"
Klinke, Harald. "Information Retrieval". En Digital Humanities, 268–78. Stuttgart: J.B. Metzler, 2017. http://dx.doi.org/10.1007/978-3-476-05446-3_19.
Texto completoShahi, Dikshant. "Information Retrieval". En Apache Solr, 39–56. Berkeley, CA: Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-1070-3_3.
Texto completoShekhar, Shashi y Hui Xiong. "Information Retrieval". En Encyclopedia of GIS, 577. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_636.
Texto completoHarvey, Charles y Jon Press. "Information Retrieval". En Databases in Historical Research, 147–87. London: Macmillan Education UK, 1996. http://dx.doi.org/10.1007/978-1-349-24392-1_6.
Texto completoRiggert, Wolfgang. "Information Retrieval". En Betriebliche Informationskonzepte, 75–126. Wiesbaden: Vieweg+Teubner Verlag, 2000. http://dx.doi.org/10.1007/978-3-322-89195-2_3.
Texto completoCarneiro, Davide, Paulo Novais y José Neves. "Information Retrieval". En Conflict Resolution and its Context, 141–62. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06239-6_7.
Texto completoAmati, Giambattista. "Information Retrieval". En Encyclopedia of Database Systems, 1–6. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4899-7993-3_915-2.
Texto completoDarwish, Kareem. "Information Retrieval". En Natural Language Processing of Semitic Languages, 299–334. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-45358-8_10.
Texto completoLinckels, Serge y Christoph Meinel. "Information Retrieval". En X.media.publishing, 81–100. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17743-9_5.
Texto completoLevy, Allan H. y David P. Lawrance. "Information Retrieval". En Aspects of the Computer-based Patient Record, 146–52. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4757-3873-5_15.
Texto completoActas de conferencias sobre el tema "Information retrieval"
Ball, Liezl y Theo Bothma. "The capability of search tools to retrieve words with specific properties from large text collections". En ISIC: the Information Behaviour Conference. University of Borås, Borås, Sweden, 2020. http://dx.doi.org/10.47989/irisic2030.
Texto completoLi, Zhanjun, Victor Raskin y Karthik Ramani. "Developing Ontologies for Engineering Information Retrieval". En ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-34530.
Texto completo"Information Retrieval". En 2021 Fifth International Conference on Information Retrieval and Knowledge Management (CAMP). IEEE, 2021. http://dx.doi.org/10.1109/camp51653.2021.9498026.
Texto completoPoulon, Astrid y Christophe Vaudry. "Information retrieval". En the 15th French-speaking conference on human-computer interaction. New York, New York, USA: ACM Press, 2003. http://dx.doi.org/10.1145/1063669.1063713.
Texto completo"Information retrieval". En 2016 Third International Conference on Information Retrieval and Knowledge Management (CAMP). IEEE, 2016. http://dx.doi.org/10.1109/infrkm.2016.7806334.
Texto completo"Information Retrieval". En 2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP). IEEE, 2018. http://dx.doi.org/10.1109/infrkm.2018.8464804.
Texto completoYim, Sungshik y David Rosen. "Case-Based Retrieval Approach of Supporting Process Planning in Layer-Based Additive Manufacturing". En ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35309.
Texto completoVitsentiy, Vitaliy. "A stochastic programming approach to optimization of information retrieval". En International Workshop of "Stochastic Programming for Implementation and Advanced Applications". The Association of Lithuanian Serials, 2012. http://dx.doi.org/10.5200/stoprog.2012.22.
Texto completoTzanetakis, George. "Music information retrieval". En the seventeen ACM international conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1631272.1631450.
Texto completoLupu, Mihai. "Patent information retrieval". En the 35th international ACM SIGIR conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2348283.2348536.
Texto completoInformes sobre el tema "Information retrieval"
Jha, Somesh, Vitaly Shmatikov y Matthew Fredrikson. Private Information Retrieval. Fort Belvoir, VA: Defense Technical Information Center, diciembre de 2010. http://dx.doi.org/10.21236/ada536856.
Texto completoKnoblock, Craig A., Yigal Arens y Chu-Nan Hsu. Cooperating Agents for Information Retrieval. Fort Belvoir, VA: Defense Technical Information Center, mayo de 1994. http://dx.doi.org/10.21236/ada285887.
Texto completoHoeferlin, David M. y Stephen A. Thorn. Crosslingual Audio Information Retrieval Development. Fort Belvoir, VA: Defense Technical Information Center, abril de 2009. http://dx.doi.org/10.21236/ada539725.
Texto completoNewitt, L. R., G. V. Haines y R. L. Coles. The magnetic information retrieval program. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1990. http://dx.doi.org/10.4095/225655.
Texto completoBader, Brett William, Peter Chew, Ahmed Abdelali y Tamara Gibson Kolda. Cross-language information retrieval using PARAFAC2. Office of Scientific and Technical Information (OSTI), mayo de 2007. http://dx.doi.org/10.2172/908061.
Texto completoLiu, Xiaoyong y W. B. Croft. Statistical Language Modeling for Information Retrieval. Fort Belvoir, VA: Defense Technical Information Center, enero de 2005. http://dx.doi.org/10.21236/ada440321.
Texto completoFranz, Martin, J. S. McCarley y Wei-Jing Zhu. English-Chinese Information Retrieval at IBM. Fort Belvoir, VA: Defense Technical Information Center, enero de 2006. http://dx.doi.org/10.21236/ada456312.
Texto completoLynch, C. Using the Z39.50 Information Retrieval Protocol. RFC Editor, diciembre de 1994. http://dx.doi.org/10.17487/rfc1729.
Texto completoNewitt, L. R. y G. V. Haines. An interactive magnetic information retrieval program. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1985. http://dx.doi.org/10.4095/315221.
Texto completoNewitt, L. R. y G. V. Haines. An interactive magnetic information retrieval program. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1985. http://dx.doi.org/10.4095/225672.
Texto completo