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» Comparing relevance feedback algorithms for web search
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SIGIR
2008
ACM
13 years 7 months ago
Parsimonious relevance models
We describe a method for applying parsimonious language models to re-estimate the term probabilities assigned by relevance models. We apply our method to six topic sets from test ...
Edgar Meij, Wouter Weerkamp, Krisztian Balog, Maar...
TKDE
2008
191views more  TKDE 2008»
13 years 7 months ago
Beyond Single-Page Web Search Results
Given a user keyword query, current Web search engines return a list of individual Web pages ranked by their "goodness" with respect to the query. Thus, the basic unit fo...
Ramakrishna Varadarajan, Vagelis Hristidis, Tao Li
PVLDB
2008
134views more  PVLDB 2008»
13 years 7 months ago
Reasoning and identifying relevant matches for XML keyword search
Keyword search is a user-friendly mechanism for retrieving XML data in web and scientific applications. An intuitively compelling but vaguely defined goal is to identify matches t...
Ziyang Liu, Yi Chen
WWW
2009
ACM
14 years 8 months ago
Advertising keyword generation using active learning
This paper proposes an efficient relevance feedback based interactive model for keyword generation in sponsored search advertising. We formulate the ranking of relevant terms as a...
Hao Wu, Guang Qiu, Xiaofei He, Yuan Shi, Mingcheng...
SIGIR
2010
ACM
13 years 11 months ago
Evaluating whole-page relevance
Whole page relevance defines how well the surface-level representation of all elements on a search result page and the corresponding holistic attributes of the presentation respon...
Peter Bailey, Nick Craswell, Ryen W. White, Liwei ...