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KDD
2010
ACM
257views Data Mining» more  KDD 2010»
15 years 7 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...
132
Voted
TREC
2001
15 years 5 months ago
Important Cognitive Components of Domain-Specific Search Knowledge
Many users have acquired a sophisticated understanding of searching the Web in specific domains. For example, we often hear of users who can get amazing deals for electronic produ...
Suresh K. Bhavnani
WWW
2009
ACM
16 years 4 months ago
Query clustering using click-through graph
In this paper we describe a problem of discovering query clusters from a click-through graph of web search logs. The graph consists of a set of web search queries, a set of pages ...
Jeonghee Yi, Farzin Maghoul
120
Voted
WWW
2009
ACM
16 years 4 months ago
Learning to tag
Social tagging provides valuable and crucial information for large-scale web image retrieval. It is ontology-free and easy to obtain; however, irrelevant tags frequently appear, a...
Lei Wu, Linjun Yang, Nenghai Yu, Xian-Sheng Hua
132
Voted
WWW
2008
ACM
16 years 4 months ago
A unified framework for name disambiguation
Name ambiguity problem has been a challenging issue for a long history. In this paper, we intend to make a thorough investigation of the whole problem. Specifically, we formalize ...
Jie Tang, Jing Zhang, Duo Zhang, Juanzi Li