Personalization in text information retrieval: A survey

Personalization of information retrieval (PIR) is aimed at tailoring a search toward individual users and user groups by taking account of additional information about users besides their queries. In the past two decades or so, PIR has received extensive attention in both academia and industry. This...

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Published inJournal of the American Society for Information Science and Technology Vol. 71; no. 3; pp. 349 - 369
Main Authors Liu, Jingjing, Liu, Chang, Belkin, Nicholas J.
Format Journal Article
LanguageEnglish
Published Hoboken, USA John Wiley & Sons, Inc 01.03.2020
Wiley Periodicals Inc
Subjects
Customization
Information retrieval
Polls & surveys
User groups
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Abstract Personalization of information retrieval (PIR) is aimed at tailoring a search toward individual users and user groups by taking account of additional information about users besides their queries. In the past two decades or so, PIR has received extensive attention in both academia and industry. This article surveys the literature of personalization in text retrieval, following a framework for aspects or factors that can be used for personalization. The framework consists of additional information about users that can be explicitly obtained by asking users for their preferences, or implicitly inferred from users' search behaviors. Users' characteristics and contextual factors such as tasks, time, location, etc., can be helpful for personalization. This article also addresses various issues including when to personalize, the evaluation of PIR, privacy, usability, etc. Based on the extensive review, challenges are discussed and directions for future effort are suggested.
AbstractList Personalization of information retrieval (PIR) is aimed at tailoring a search toward individual users and user groups by taking account of additional information about users besides their queries. In the past two decades or so, PIR has received extensive attention in both academia and industry. This article surveys the literature of personalization in text retrieval, following a framework for aspects or factors that can be used for personalization. The framework consists of additional information about users that can be explicitly obtained by asking users for their preferences, or implicitly inferred from users' search behaviors. Users' characteristics and contextual factors such as tasks, time, location, etc., can be helpful for personalization. This article also addresses various issues including when to personalize, the evaluation of PIR, privacy, usability, etc. Based on the extensive review, challenges are discussed and directions for future effort are suggested.
Author Liu, Jingjing
Belkin, Nicholas J.
Liu, Chang
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  givenname: Chang
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  email: belkin@rutgers.edu
  organization: Rutgers, The State University of New Jersey
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Snippet Personalization of information retrieval (PIR) is aimed at tailoring a search toward individual users and user groups by taking account of additional...
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SubjectTerms Customization
Information retrieval
Polls & surveys
User groups
Title Personalization in text information retrieval: A survey
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