Publication Type

Journal Article

Version

Postprint

Publication Date

11-2016

Abstract

Advanced networking technologies and massive online social media have stimulated a booming growth of travel heterogeneous information in recent years. By employing such information, smart travel guide systems, such as landmark ranking systems, have been proposed to offer diverse online travel services. It is essential for a landmark ranking system to structure, analyze, and search the travel heterogeneous information to produce human-expected results. Therefore, currently the most fundamental yet challenging problems can be concluded: 1) how to fuse heterogeneous tourism information and 2) how to model landmark ranking. In this paper, a novel landmark search system is introduced based on a newly designed heterogeneous information fusion scheme and a query-dependent landmark ranking strategy. Different from the existing travel guide systems, the proposed system can effectively combine the heterogeneous information from multimodality media into a landmark reranking list via a user's query. Experimental results conducted on a large travel information collection illustrate the advantages of the proposed system in terms of both effectiveness and efficiency.

Keywords

Heterogeneous multimedia analysis, information fusion, landmark reranking, travel guide

Discipline

Computer Sciences | Databases and Information Systems | Transportation

Research Areas

Data Management and Analytics

Publication

IEEE Transactions on Systems Man and Cybernetics: Systems

Volume

46

Issue

11

First Page

1492

Last Page

1504

ISSN

2168-2216

Identifier

10.1109/TSMC.2016.2523948

Publisher

IEEE

Copyright Owner and License

Authors

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

http://doi.org/10.1109/TSMC.2016.2523948

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