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CIKM
2010
Springer
14 years 11 months ago
Predicting short-term interests using activity-based search context
A query considered in isolation offers limited information about a searcher's intent. Query context that considers pre-query activity (e.g., previous queries and page visits)...
Ryen W. White, Paul N. Bennett, Susan T. Dumais
MKTSCI
2010
92views more  MKTSCI 2010»
14 years 10 months ago
Optimal Reverse-Pricing Mechanisms
Reverse pricing is a market mechanism under which a consumer's bid for a product leads to a sale if the bid exceeds a hidden acceptance threshold the seller has set in advanc...
Martin Spann, Robert Zeithammer, Gerald Häubl
ATAL
2011
Springer
14 years 3 months ago
Using iterated reasoning to predict opponent strategies
The field of multiagent decision making is extending its tools from classical game theory by embracing reinforcement learning, statistical analysis, and opponent modeling. For ex...
Michael Wunder, Michael Kaisers, John Robert Yaros...
239
Voted
IAAI
2011
14 years 3 months ago
NewsFinder: Automating an Artificial Intelligence News Service
NewsFinder automates the steps involved in finding, selecting and publishing news stories that meet subjective judgments of relevance and interest to the Artificial Intelligence c...
Liang Dong, Reid G. Smith, Bruce G. Buchanan
153
Voted
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 9 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer