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WWW
2009
ACM
14 years 9 months ago
An axiomatic approach for result diversification
Understanding user intent is key to designing an effective ranking system in a search engine. In the absence of any explicit knowledge of user intent, search engines want to diver...
Sreenivas Gollapudi, Aneesh Sharma
WWW
2009
ACM
14 years 3 months ago
Building term suggestion relational graphs from collective intelligence
This paper proposes an effective approach to provide relevant search terms for conceptual Web search. ‘Semantic Term Suggestion’ function has been included so that users can f...
Jyh-Ren Shieh, Yung-Huan Hsieh, Yang-Ting Yeh, Tse...
WWW
2007
ACM
14 years 9 months ago
Supervised rank aggregation
This paper is concerned with rank aggregation, the task of combining the ranking results of individual rankers at meta-search. Previously, rank aggregation was performed mainly by...
Yu-Ting Liu, Tie-Yan Liu, Tao Qin, Zhiming Ma, Han...
SIGIR
2012
ACM
11 years 11 months ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
JASIS
2007
132views more  JASIS 2007»
13 years 9 months ago
Automatic multidocument summarization of research abstracts: Design and user evaluation
sets of research abstracts that may be retrieved by a digital library or search engine in response to a user query. y dissertation abstracts were selected as the sample domain in t...
Shiyan Ou, Christopher S. G. Khoo, Dion Hoe-Lian G...