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AAAI
2011
13 years 9 months ago
Towards Large-Scale Collaborative Planning: Answering High-Level Search Queries Using Human Computation
Behind every search query is a high-level mission that the user wants to accomplish. While current search engines can often provide relevant information in response to well-speciļ...
Edith Law, Haoqi Zhang
WSDM
2012
ACM
267views Data Mining» more  WSDM 2012»
13 years 5 months ago
Learning to rank with multi-aspect relevance for vertical search
Many vertical search tasks such as local search focus on specific domains. The meaning of relevance in these verticals is domain-specific and usually consists of multiple well-d...
Changsung Kang, Xuanhui Wang, Yi Chang, Belle L. T...
RECSYS
2009
ACM
15 years 4 months ago
Harnessing the power of "favorites" lists for recommendation systems
We propose a novel collaborative recommendation approach to take advantage of the information available in user-created lists. Our approach assumes associations among any two item...
Maryam Khezrzadeh, Alex Thomo, William W. Wadge
CIKM
2009
Springer
15 years 4 months ago
Self-organizing peer-to-peer networks for collaborative document tracking
Given a set of peers with overlapping interests where each peer wishes to keep track of new documents that are relevant to their interests, we propose a self-organizing peerto-pee...
Hathai Tanta-ngai, Evangelos E. Milios, Vlado Kese...
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CIKM
2009
Springer
15 years 4 months ago
Learning to rank from Bayesian decision inference
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
Jen-Wei Kuo, Pu-Jen Cheng, Hsin-Min Wang