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Dissertations / Theses on the topic 'Personalized Information Retrieval'

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1

Kramer, Joshua David. "Agent based personalized information retrieval." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/43539.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.<br>Includes bibliographical references (p. 69-74).<br>by Joshua David Kramer.<br>M.Eng.
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2

YU, HONGMING. "A PERSONALIZED INFORMATION ENVIRONMENT SYSTEM FOR INFORMATION RETRIEVAL." University of Cincinnati / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1060875911.

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3

Kacem, Sahraoui Ameni. "Personalized information retrieval based on time-sensitive user profile." Thesis, Toulouse 3, 2017. http://www.theses.fr/2017TOU30111/document.

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Les moteurs de recherche, largement utilisés dans différents domaines, sont devenus la principale source d'information pour de nombreux utilisateurs. Cependant, les Systèmes de Recherche d'Information (SRI) font face à de nouveaux défis liés à la croissance et à la diversité des données disponibles. Un SRI analyse la requête soumise par l'utilisateur et explore des collections de données de nature non structurée ou semi-structurée (par exemple : texte, image, vidéo, page Web, etc.) afin de fournir des résultats qui correspondent le mieux à son intention et ses intérêts. Afin d'atteindre cet ob
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4

Banwell, Linda M. "PLUS : a system architecture for Personalized Library User Support." Thesis, University of Exeter, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.359596.

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5

Crain, Steven P. "Personalized search and recommendation for health information resources." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45805.

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Consumers face several challenges using the Internet to fill health-related needs. (1) In many cases, they face a language gap as they look for information that is written in unfamiliar technical language. (2) Medical information in social media is of variable quality and may be appealing even when it is dangerous. (3) Discussion groups provide valuable social support for necessary lifestyle changes, but are variable in their levels of activity. (4) Finding less popular groups is tedious. We present solutions to these challenges. We use a novel adaptation of topic models to address the langua
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6

Limbu, Dilip Kumar. "Contextual information retrieval from the WWW." Click here to access this resource online, 2008. http://hdl.handle.net/10292/450.

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Contextual information retrieval (CIR) is a critical technique for today’s search engines in terms of facilitating queries and returning relevant information. Despite its importance, little progress has been made in its application, due to the difficulty of capturing and representing contextual information about users. This thesis details the development and evaluation of the contextual SERL search, designed to tackle some of the challenges associated with CIR from the World Wide Web. The contextual SERL search utilises a rich contextual model that exploits implicit and explicit data to modify
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7

Lipani, Aldo. "Query rewriting in information retrieval: automatic context extraction from local user documents to improve query results." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/4528/.

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The central objective of research in Information Retrieval (IR) is to discover new techniques to retrieve relevant information in order to satisfy an Information Need. The Information Need is satisfied when relevant information can be provided to the user. In IR, relevance is a fundamental concept which has changed over time, from popular to personal, i.e., what was considered relevant before was information for the whole population, but what is considered relevant now is specific information for each user. Hence, there is a need to connect the behavior of the system to the condition of a part
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8

Alhamid, Mohammed F. "Towards Context-Aware Personalized Recommendations in an Ambient Intelligence Environment." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32052.

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Due to the rapid increase of social network resources and services, Internet users are now overwhelmed by the vast quantity of social media available. By utilizing the user’s context while consuming diverse multimedia contents, we can identify different personal preferences and settings. However, there is still a need to reinforce the recommendation process in a systematic way, with context-adaptive information. This thesis proposes a recommendation model, called HPEM, that establishes a bridge between the multimedia resources, user collaborative preferences, and the detected contextual inform
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9

Asfari, Ounas. "Personalized Access to Contextual Information by using an Assistant for Query Reformulation." Thesis, Paris 11, 2011. http://www.theses.fr/2011PA112126.

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Les travaux présentés dans cette thèse rentrent dans le cadre de la Recherche d'Information (RI) et s'intéressent à une des questions de recherche actuellement en vogue dans ce domaine: la prise en compte du contexte de l'utilisateur pendant sa quête de l'information pertinente. Nous proposons une approche originale de reformulation automatique de requêtes basée sur le profil utilisateur et sa tâche actuelle. Plus précisément, notre approche tient compte deux éléments du contexte, les centres d'intérêts de l'utilisateur (son profil) et la tâche qu'il réalise, pour suggérer des requêtes appropr
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10

Ould, Amer Nawal. "Recherche sociale et personnalisée d'Information." Thesis, Université Grenoble Alpes, 2020. http://www.theses.fr/2020GRALM071.

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Une large gamme de services et de plateformes rendent l’utilisateur de plus en plus interactif avec le web. De nombreuses informations qui concernent à la fois les utilisateurs et les ressources (documents, images, vidéos, commentaires, tweets, tags, etc.) sont constamment générées. Ces informations peuvent être très utiles dans les tâches de recherche d’information, pour la modélisation des utilisateurs et des ressources. Cependant, les modèles classiques de recherche d’information n’intègrent pas le contexte social de l’utilisateur et des ressources. Par conséquent, de nombreuses recherches
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11

Bahceci, Oktay. "Deep Neural Networks for Context Aware Personalized Music Recommendation : A Vector of Curation." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210252.

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Information Filtering and Recommender Systems have been used and has been implemented in various ways from various entities since the dawn of the Internet, and state-of-the-art approaches rely on Machine Learning and Deep Learning in order to create accurate and personalized recommendations for users in a given context. These models require big amounts of data with a variety of features such as time, location and user data in order to find correlations and patterns that other classical models such as matrix factorization and collaborative filtering cannot. This thesis researches, implements an
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12

Bouhini, Chahrazed. "Impact des réseaux sociaux sur le processus de recherche d’information." Thesis, Saint-Etienne, 2014. http://www.theses.fr/2014STET4027/document.

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L’émergence des réseaux sociaux a révolutionné le Web en permettant notamment aux individus de prolonger leur connexion virtuelle en une relation plus réelle et de partager leurs connaissances. Ce nouveau contexte de diffusion de l’information sur le Web peut constituer un moyen efficace pour cerner les besoins en information des utilisateurs du Web, et permettre à la recherche d’information (RI) de mieux répondre à ces besoins en adaptant les modèles d’indexation et d’interrogation. L’exploitation des réseaux sociaux confronte la RI à plusieurs défis dont les plus importants concernent la rep
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13

Seher, Indra. "A personalised query expansion approach using context." View thesis, 2007. http://handle.uws.edu.au:8081/1959.7/33427.

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Thesis (Ph.D.)--University of Western Sydney, 2007.<br>A thesis submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy to the College of Health & Science, School of Computing and Mathematics, University of Western Sydney. Includes bibliography.
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14

Hopfgartner, Frank. "Personalised video retrieval : application of implicit feedback and semantic user profiles." Thesis, University of Glasgow, 2010. http://theses.gla.ac.uk/2132/.

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A challenging problem in the user profiling domain is to create profiles of users of retrieval systems. This problem even exacerbates in the multimedia domain. Due to the Semantic Gap, the difference between low-level data representation of videos and the higher concepts users associate with videos, it is not trivial to understand the content of multimedia documents and to find other documents that the users might be interested in. A promising approach to ease this problem is to set multimedia documents into their semantic contexts. The semantic context can lead to a better understanding of th
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15

Vaugeois-Sellier, Nathalie. "Méthode d'indexation qualitative : application à un plan de veille relatif aux thérapies émergentes contre la maladie d'Alzheimer." Thesis, Paris Est, 2009. http://www.theses.fr/2009PEST1036/document.

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Dans le contexte de recherche et développement d’un nouveau traitement thérapeutique, le chercheur veut surveiller ses thématiques de recherche pour actualiser ses connaissances. Il a besoin d’accéder à l’information qui lui est utile directement sur son ordinateur. La prise en compte de la complexité d’un système biologique, révèle la très grande difficulté à traduire de façon linguistique toute une réflexion hypothétique. Nous proposons dans ce travail, un procédé détaché du système de langue. Pour ce faire, nous présentons une méthodologie basée sur une indexation qualitative en utilisant u
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16

Michel, Jonas Reinhardt. "The Gander search engine for personalized networked spaces." 2012. http://hdl.handle.net/2152/19714.

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The vision of pervasive computing is one of a personalized space populated with vast amounts of data that can be exploited by humans. Such Personalized Networked Spaces (PNetS) and the requisite support for general-purpose expressive spatiotemporal search of the “here” and “now” have eluded realization, due primarily to the complexities of indexing, storing, and retrieving relevant information within a vast collection of highly ephemeral data. This thesis presents the Gander search engine, founded on a novel conceptual model of search in PNetS and targeted for environments characterized by lar
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17

Oosthuizen, Ockmer Louren. "A multi-agent collaborative personalized web mining system model." Thesis, 2008. http://hdl.handle.net/10210/508.

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The Internet and world wide web (WWW) have in recent years, grown exponentially in size and in terms of the volume of information that is available on it. In order to effectively deal with the huge amount of information on the web, so called web search engines have been developed for the task of retrieving useful and relevant information for its users. Unfortunately, these web search engines have not kept pace with the boom growth and commercialization of the web. The main goal of this dissertation is the development of a model for a collaborative personalized meta-search agent (COPEMSA) syste
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18

Seher, Indra, University of Western Sydney, College of Health and Science, and School of Computing and Mathematics. "A personalised query expansion approach using context." 2007. http://handle.uws.edu.au:8081/1959.7/33427.

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Users of the Web usually use search engines to find answers to a variety of questions. Although search engines can rapidly process a large number of Web documents, in many cases, the answers returned by search engines are not relevant to the user’s information need, although they do contain the same keywords as the query. This is because the Web contains information sources created by numerous authors independently, and the authors’ vocabularies vary greatly. Furthermore, most words in natural languages have inherent ambiguity. This vocabulary mismatch between user queries and Web sources is o
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19

Gnasa, Melanie [Verfasser]. "Congenial Web search : a conceptual framework for personalized, collaborative, and social peer-to-peer retrieval / vorgelegt von Melanie Gnasa." 2006. http://d-nb.info/981698069/34.

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