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» Probabilistic models for personalizing web search
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IAT
2007
IEEE
13 years 11 months ago
Ontological User Profiles for Representing Context in Web Search
The goal of Web search personalization is to tailor search results to a particular user based on that user's interests and preferences. We present an approach to personalized...
Ahu Sieg, Bamshad Mobasher, Robin D. Burke
ESWS
2008
Springer
13 years 9 months ago
Resolving Lexical Ambiguities in Folksonomy Based Search Systems through Common Sense and Personalization
Information on Web2.0, generated by users of web based services, is both difficult to organize and organic in nature. Content categorization and search in such situation offers cha...
Mohammad Nauman, Shahbaz Khan 0003, Muhammad Amin,...
CIKM
2008
Springer
13 years 9 months ago
Modeling multi-step relevance propagation for expert finding
An expert finding system allows a user to type a simple text query and retrieve names and contact information of individuals that possess the expertise expressed in the query. Thi...
Pavel Serdyukov, Henning Rode, Djoerd Hiemstra
WWW
2006
ACM
14 years 8 months ago
Mining clickthrough data for collaborative web search
This paper is to investigate the group behavior patterns of search activities based on Web search history data, i.e., clickthrough data, to boost search performance. We propose a ...
Jian-Tao Sun, Xuanhui Wang, Dou Shen, Hua-Jun Zeng...
ECIR
2008
Springer
13 years 9 months ago
Modeling Documents as Mixtures of Persons for Expert Finding
Abstract. In this paper we address the problem of searching for knowledgeable persons within the enterprise, known as the expert finding (or expert search) task. We present a proba...
Pavel Serdyukov, Djoerd Hiemstra