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» Comparing relevance feedback algorithms for web search
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CIKM
2011
Springer
12 years 8 months ago
A probabilistic method for inferring preferences from clicks
Evaluating rankers using implicit feedback, such as clicks on documents in a result list, is an increasingly popular alternative to traditional evaluation methods based on explici...
Katja Hofmann, Shimon Whiteson, Maarten de Rijke
SIGIR
2010
ACM
13 years 8 months ago
Optimal meta search results clustering
By analogy with merging documents rankings, the outputs from multiple search results clustering algorithms can be combined into a single output. In this paper we study the feasibi...
Claudio Carpineto, Giovanni Romano
CIKM
2008
Springer
13 years 10 months ago
Ranked feature fusion models for ad hoc retrieval
We introduce the Ranked Feature Fusion framework for information retrieval system design. Typical information retrieval formalisms such as the vector space model, the bestmatch mo...
Jeremy Pickens, Gene Golovchinsky
ICMI
2005
Springer
193views Biometrics» more  ICMI 2005»
14 years 1 months ago
Augmenting conversational dialogue by means of latent semantic googling
This paper presents Latent Semantic Googling, a variant of Landauer’s Latent Semantic Indexing that uses the Google search engine to judge the semantic closeness of sets of word...
Robin Senior, Roel Vertegaal
SIGIR
2004
ACM
14 years 1 months ago
Hourly analysis of a very large topically categorized web query log
We review a query log of hundreds of millions of queries that constitute the total query traffic for an entire week of a generalpurpose commercial web search service. Previously, ...
Steven M. Beitzel, Eric C. Jensen, Abdur Chowdhury...