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KDD
2010
ACM
257views Data Mining» more  KDD 2010»
14 years 1 months ago
Multi-task learning for boosting with application to web search ranking
In this paper we propose a novel algorithm for multi-task learning with boosted decision trees. We learn several different learning tasks with a joint model, explicitly addressing...
Olivier Chapelle, Pannagadatta K. Shivaswamy, Srin...
ERCIMDL
2010
Springer
158views Education» more  ERCIMDL 2010»
13 years 10 months ago
Ranking Entities Using Web Search Query Logs
Abstract Searching for entities is an emerging task in Information Retrieval for which the goal is finding well defined entities instead of documents matching the query terms. In t...
Bodo Billerbeck, Gianluca Demartini, Claudiu S. Fi...
CIKM
2010
Springer
13 years 7 months ago
Web search solved?: all result rankings the same?
The objective of this work is to derive quantitative statements about what fraction of web search queries issued to the state-of-the-art commercial search engines lead to excellen...
Hugo Zaragoza, Berkant Barla Cambazoglu, Ricardo A...
WEBI
2009
Springer
14 years 4 months ago
Query Suggestion by Query Search: A New Approach to User Support in Web Search
Abstract—This paper introduces and analyzes a new approach to query suggestion. After the user issues a query q0, for every document retrieved in a certain rank range [Θ1, Θ2],...
Shen Jiang, Sandra Zilles, Robert C. Holte
WWW
2007
ACM
14 years 10 months ago
Answering relationship queries on the web
Finding relationships between entities on the Web, e.g., the connections between different places or the commonalities of people, is a novel and challenging problem. Existing Web ...
Gang Luo, Chunqiang Tang, Ying-li Tian