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IPM
2011
91views more  IPM 2011»
14 years 4 months ago
Measuring the interestingness of articles in a limited user environment
Abstract-Search engines, such as Google, assign scores to news articles based on their relevancy to a query. However, not all relevant articles for the query may be interesting to ...
Raymond K. Pon, Alfonso F. Cardenas, David Buttler...
CIVR
2010
Springer
299views Image Analysis» more  CIVR 2010»
15 years 3 months ago
Co-reranking by mutual reinforcement for image search
Most existing reranking approaches to image search focus solely on mining "visual" cues within the initial search results. However, the visual information cannot always ...
Ting Yao, Tao Mei, Chong-Wah Ngo
PVLDB
2010
195views more  PVLDB 2010»
14 years 12 months ago
Keyword++: A Framework to Improve Keyword Search Over Entity Databases
Keyword search over entity databases (e.g., product, movie databases) is an important problem. Current techniques for keyword search on databases may often return incomplete and i...
Dong Xin, Yeye He, Venkatesh Ganti
AIRS
2006
Springer
15 years 5 months ago
Improving Re-ranking of Search Results Using Collaborative Filtering
Search Engines today often return a large volume of results with possibly a few relevant results. The notion of relevance is subjective and depends on the user and the context of ...
U. Rohini, Vamshi Ambati
WWW
2009
ACM
16 years 2 months ago
A dynamic bayesian network click model for web search ranking
As with any application of machine learning, web search ranking requires labeled data. The labels usually come in the form of relevance assessments made by editors. Click logs can...
Olivier Chapelle, Ya Zhang