2010 · 11 citations · 7 references
ComputingComputer ScienceInformation RetrievalKnowledge RepresentationNatural Language ProcessingAdaptive LearningInformation ExtractionKnowledge RetrievalQuery ExpansionQuery ProcessingRetrieval ModelsAdaptive Query ExpansionAdaptive RetrievalLearning To Expand QueriesRelevance ModelsRetrievalSession-based Query ExpansionSession-based SearchTrec Evaluation
The primary goal of our participation in the Session track is to further evaluate our anchor expansion technique proposed in the previous year [1]. In particular, we aim to test the effectiveness of this approach on a more realistic dataset collected this year. SWIRL 2012 noted that there is still a large gap between the study of users and the study of IR algorithms [2], so the session data collected for this year’s session track aimed at addressing some of the suggestions made in the SWIRL 2012 report. We exploit the anchor logs to derive query expansions that are relevant to user information needs throughout the session. Anchor text has shown to be effective for a variety of information retrieval tasks. This include the diversity task in the TREC Web track [3]. Anchor text can be considered as a replacement to user queries as often web authors use similar labels to describe web pages to those used by searchers to find them [4]. Moreover, Dang and Croft have recently shown how anchor text can be used to simulate user sessions. They have considered all the anchor text pointing to the same document as queries
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Analysis of anchor text for web search
Nadav Eiron, Kevin S. McCurley · 2003 · 178 citations
Query reformulation using anchor text
Van Dang, Bruce Croft · 2010 · 150 citations
The importance of anchor text for ad hoc search revisited
Marijn Koolen, Jaap Kamps · 2010 · 40 citations
Microsoft Research at TREC 2009. Web and Relevance Feedback Tracks
Nick Craswell, Dennis Fetterly, Marc Najork et al. · 2009 · 26 citations