Accession Number : AD1004703

Title :   BJUT at TREC 2015 Contextual Suggestion Track

Descriptive Note : Conference Paper

Corporate Author : Beijing University of Technology Beijing China

Personal Author(s) : Chen,Weitong ; Li,Hanchen ; Yang,Zhen

Full Text :

Report Date : 20 Nov 2015

Pagination or Media Count : 3

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.

Descriptors :   information retrieval , data mining , INFORMATION SYSTEMS , algorithms , USER NEEDS , DATA MANAGEMENT , EXPERT SYSTEMS , KNOWLEDGE BASED SYSTEMS

Distribution Statement : APPROVED FOR PUBLIC RELEASE