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» Mining clickthrough data for collaborative web search
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ICDM
2005
IEEE
217views Data Mining» more  ICDM 2005»
15 years 3 months ago
Improving Automatic Query Classification via Semi-Supervised Learning
Accurate topical classification of user queries allows for increased effectiveness and efficiency in general-purpose web search systems. Such classification becomes critical if th...
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...
CSE
2009
IEEE
15 years 1 months ago
Social Tagging in Query Expansion: A New Way for Personalized Web Search
Social networks and collaborative tagging systems are rapidly gaining popularity as primary means for sorting and sharing data: users tag their bookmarks in order to simplify infor...
Claudio Biancalana, Alessandro Micarelli
WSDM
2010
ACM
210views Data Mining» more  WSDM 2010»
15 years 7 months ago
Towards Recency Ranking in Web Search
In web search, recency ranking refers to ranking documents by relevance which takes freshness into account. In this paper, we propose a retrieval system which automatically detect...
Anlei Dong, Yi Chang, Zhaohui Zheng, Gilad Mishne,...
KDD
2007
ACM
376views Data Mining» more  KDD 2007»
15 years 10 months ago
Truth discovery with multiple conflicting information providers on the web
The world-wide web has become the most important information source for most of us. Unfortunately, there is no guarantee for the correctness of information on the web. Moreover, d...
Xiaoxin Yin, Jiawei Han, Philip S. Yu
ICMCS
2008
IEEE
141views Multimedia» more  ICMCS 2008»
15 years 4 months ago
Ranking music data by relevance and importance
Due to the rapidly increasing availability of audio files on the Web, it is relevant to augment search engines with advanced audio search functionality. In this context, the rank...
Maria M. Ruxanda, Alexandros Nanopoulos, Christian...