A Community-Based Approach to Personalizing Web Search

Researchers can leverage the latent knowledge created within search communities by recording users' search activities - the queries they submit and results they select - at the community level. They can use this data to build a relevance model that guides the promotion of community-relevant res...

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Bibliographic Details
Published inComputer (Long Beach, Calif.) Vol. 40; no. 8; pp. 42 - 50
Main Author Smyth, B.
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 01.08.2007
IEEE Computer Society
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Applied sciences
collaborative Web search
Collaborative work
Communities
Computer science; control theory; systems
Computer simulation
Computer systems and distributed systems. User interface
Construction
Data collection
Demography
Exact sciences and technology
Heart
History
Information systems. Data bases
Information technology
Joining processes
Memory organisation. Data processing
Operating systems
personalized Web search
Personalizing
Promotion
Queries
R&D
Recording
Research & development
search
Search engines
Searching
Software
Web search
Relevance
Database query
Customization
World wide web
Information retrieval
Modeling
Marketing
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Summary:Researchers can leverage the latent knowledge created within search communities by recording users' search activities - the queries they submit and results they select - at the community level. They can use this data to build a relevance model that guides the promotion of community-relevant results during regular Web search. This discusses the collaborative Web search approach that promotes the idea that community search activities can provide valuable form of search knowledge and sharing of this knowledge makes adapting traditional search-engine results possible.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0018-9162
1558-0814
DOI:10.1109/MC.2007.259