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COLING
2010

Contextual Recommendation based on Text Mining

8 years 8 days ago
Contextual Recommendation based on Text Mining
The potential benefit of integrating contextual information for recommendation has received much research attention recently, especially with the ever-increasing interest in mobile-based recommendation services. However, context based recommendation research is limited due to the lack of standard evaluation data with contextual information and reliable technology for extracting such information. As a result, there are no widely accepted conclusions on how, when and whether context helps. Additionally, a system often suffers from the so called cold start problem due to the lack of data for training the initial context based recommendation model. This paper proposes a novel solution to address these problems with automated information extraction techniques. We also compare several approaches for utilizing context based on a new data set collected using the proposed solution. The experimental results demonstrate that 1) IE-based techniques can help create a large scale context data with ...
Yize Li, Jiazhong Nie, Yi Zhang, Bingqing Wang, Ba
Added 13 May 2011
Updated 13 May 2011
Type Journal
Year 2010
Where COLING
Authors Yize Li, Jiazhong Nie, Yi Zhang, Bingqing Wang, Baoshi Yan, Fuliang Weng
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