Jiyun Luo
ABSTRACT
Search result clustering (SRC) is a post-retrieval process that hierarchically organizes search results. The hierarchical structure offers overview for the search results and displays an "information lay-of-land" that intents to guide the users throughout a search session. However, SRC hierarchies are sensitive to query changes, which are common among queries in the same session. This instability may leave users seemly random overviews throughout the session. We present a new tool called InfoLand that integrates external knowledge from Wikipedia when building SRC hierarchies and increase their stability. Evaluation on TREC 2010-2011 Session Tracks shows that InfoLand produces more stable results organization than a commercial search engine.
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Digital Library
- E. Kanoulas, B. Carterette, M. Hall, P. Clough, and M. Sanderson. Overview of the trec 2011 session track.Google Scholar
- M. Sanderson and B. Croft. Deriving concept hierarchies from text. In SIGIR'99. Google ScholarDigital Library
- U. Scaiella, P. Ferragina, A. Marino, and M. Ciaramita. Topical clustering of search results. In WSDM'12. Google ScholarDigital Library
- H. Yang. Personalized Concept Hierarchy Construction. PhD thesis, 2011.Google Scholar
Index Terms
- InfoLand: information lay-of-land for session search
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