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» Adaptive relevance feedback in information retrieval
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CIKM
2009
Springer
14 years 3 months ago
Enhancing expertise retrieval using community-aware strategies
Expertise retrieval has received increased interests in recent years, whose task is to suggest people with relevant expertise. Motivated by the observation that communities could ...
Hongbo Deng, Irwin King, Michael R. Lyu
WWW
2007
ACM
14 years 9 months ago
Personalized social & real-time collaborative search
This paper presents Adaptive Web Search (AWS), a novel search technique that combines personalized, social, and realtime collaborative search. Preliminary empirical results from a...
Mukesh Dalal
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
ICMI
2005
Springer
193views Biometrics» more  ICMI 2005»
14 years 2 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
CIKM
2006
Springer
13 years 10 months ago
Voting for candidates: adapting data fusion techniques for an expert search task
In an expert search task, the users' need is to identify people who have relevant expertise to a topic of interest. An expert search system predicts and ranks the expertise o...
Craig Macdonald, Iadh Ounis