BJUT at TREC 2015 Contextual Suggestion Track
Abstract
In this paper we described our efforts for TREC contextual suggestion task. Our goal of this year is to evaluate the effectiveness of: (1) predict user preferences of each scenic spot based on non-negtive matrix factorization, (2) automatic summarization method that leverages the information from multiple resources to generate the description for each candidate scenic spots; and (3) hybrid recommendation method that combing a variety of factors to construct a system of hybrid recommendation system. Finally, we conduct extensive experiments to evaluate the proposed framework on TREC 2015 Contextual Suggestion dataset, and, as would be expected, the results demonstrate its generality and superior performance.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 20, 2015
- Accession Number
- AD1004703
Entities
People
- Hanchen Li
- Weitong Chen
- Zhen Yang
Organizations
- Beijing University of Technology