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ICWSM
2008
14 years 11 months ago
Document Representation and Query Expansion Models for Blog Recommendation
We explore several different document representation models and two query expansion models for the task of recommending blogs to a user in response to a query. Blog relevance rank...
Jaime Arguello, Jonathan L. Elsas, Jamie Callan, J...
SIGIR
2012
ACM
13 years 2 days 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
SIGIR
2009
ACM
15 years 4 months ago
Global ranking by exploiting user clicks
It is now widely recognized that user interactions with search results can provide substantial relevance information on the documents displayed in the search results. In this pape...
Shihao Ji, Ke Zhou, Ciya Liao, Zhaohui Zheng, Gui-...
SIGIR
2011
ACM
14 years 14 days ago
Active learning to maximize accuracy vs. effort in interactive information retrieval
We consider an interactive information retrieval task in which the user is interested in finding several to many relevant documents with minimal effort. Given an initial documen...
Aibo Tian, Matthew Lease
68
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CIKM
2000
Springer
15 years 2 months ago
Relevance and Reinforcement in Interactive Browsing
We consider the problem of browsing the top ranked portion of the documents returned by an information retrieval system. We describe an interactive relevance feedback agent that a...
Anton Leuski