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» Maximum Margin Ranking Algorithms for Information Retrieval
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IUI
2003
ACM
14 years 27 days ago
Adapting to the user's internet search strategy on small devices
World Wide Web search engines typically return thousands of results to the users. To avoid users browsing through the whole list of results, search engines use ranking algorithms ...
Jean-David Ruvini
CIKM
2010
Springer
13 years 6 months ago
Collaborative future event recommendation
We demonstrate a method for collaborative ranking of future events. Previous work on recommender systems typically relies on feedback on a particular item, such as a movie, and ge...
Einat Minkov, Ben Charrow, Jonathan Ledlie, Seth J...
CIKM
2009
Springer
14 years 2 months ago
Graph-based seed selection for web-scale crawlers
One of the most important steps in web crawling is determining the starting points, or seed selection. This paper identifies and explores the problem of seed selection in webscal...
Shuyi Zheng, Pavel Dmitriev, C. Lee Giles
SIGIR
2004
ACM
14 years 1 months ago
Focused named entity recognition using machine learning
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
Li Zhang, Yue Pan, Tong Zhang
WWW
2004
ACM
14 years 8 months ago
Is question answering an acquired skill?
We present a question answering (QA) system which learns how to detect and rank answer passages by analyzing questions and their answers (QA pairs) provided as training data. We b...
Ganesh Ramakrishnan, Soumen Chakrabarti, Deepa Par...