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IJWGS
2008
116views more  IJWGS 2008»
13 years 8 months ago
Harnessing user contributions and dynamic profiling to better satisfy individual information search needs
: In the situation of information overload we are experiencing today, conventional web search systems taking a one-size-fits-all approach are often not capable of effectively satis...
Roman Y. Shtykh, Qun Jin
AIR
2004
98views more  AIR 2004»
13 years 7 months ago
Further Experiments on Collaborative Ranking in Community-Based Web Search
As the search engine arms-race continues, search engines are constantly looking for ways to improve the manner in which they respond to user queries. Given the vagueness of Web sea...
Jill Freyne, Barry Smyth, Maurice Coyle, Evelyn Ba...
WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
12 years 3 months ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
KDD
2012
ACM
179views Data Mining» more  KDD 2012»
11 years 10 months ago
Web image prediction using multivariate point processes
In this paper, we investigate a problem of predicting what images are likely to appear on the Web at a future time point, given a query word and a database of historical image str...
Gunhee Kim, Fei-Fei Li, Eric P. Xing
PAMI
2010
184views more  PAMI 2010»
13 years 6 months ago
Accurate Image Search Using the Contextual Dissimilarity Measure
— This paper introduces the contextual dissimilarity measure which significantly improves the accuracy of bag-offeatures based image search. Our measure takes into account the l...
Herve Jegou, Cordelia Schmid, Hedi Harzallah, Jako...