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User Profiling for Personalized Search & Partnership Match : 개인화 검색 및 파트너쉽 선정을 위한 사용자 프로파일링

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Authors

하시트

Advisor
김홍기
Major
치과대학 치의과학과
Issue Date
2014-02
Publisher
서울대학교 대학원
Keywords
User ModellingUser InterestsUser PreferencesPersonalized SearchPartnership Match
Description
학위논문 (박사)-- 서울대학교 대학원 : 치의과학과, 2014. 2. 김홍기.
Abstract
The secret of change is to focus all of your energy not on fighting the old, but on building the new. - Socrates

The automatic identification of user intention is an important but highly challenging research problem whose solution can greatly benefit information systems. In this thesis, I look at the problem of identifying sources of user interests, extracting latent semantics from it, and modelling it as a user profile. I present algorithms that automatically infer user interests and extract hidden semantics from it, specifically aimed at improving personalized search. I also present a methodology to model user profile as a buyer profile or a seller profile, where the attributes of the profile are populated from a controlled vocabulary. The buyer profiles and seller profiles are used in partnership match.

In the domain of personalized search, first, a novel method to construct a profile of user interests is proposed which is based on mining anchor text. Second, two methods are proposed to builder a user profile that gather terms from a folksonomy system where matrix factorization technique is explored to discover hidden relationship between them. The objective of the methods is to discover latent relationship between terms such that contextually, semantically, and syntactically related terms could be grouped together, thus disambiguating the context of term usage. The profile of user interests is also analysed to judge its clustering tendency and clustering accuracy. Extensive evaluation indicates that a profile of user interests, that can correctly or precisely disambiguate the context of user query, has a significant impact on the personalized search quality. In the domain of partnership match, an ontology termed as partnership ontology is proposed. The attributes or concepts, in the partnership ontology, are features representing context of work. It is used by users to lay down their requirements as buyer profiles or seller profiles. A semantic similarity measure is defined to compute a ranked list of matching seller profiles for a given buyer profile.
Language
English
URI
https://hdl.handle.net/10371/125196
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