Active Recommendation of Tourist Attractions Based on Visitors Interests and Semantic Relatedness

  • Yi Zeng
  • Tielin Zhang
  • Hongwei Hao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8610)

Abstract

Many visitors always search on tourist attractions related information on the Web so as to get more information on the places they are visiting or plan their next trips. In this study, we introduce CASIA-TAR, an active tourist attractions recommendation system, which provides relevant knowledge of specific tourist attractions and make recommendations for other relevant places to visit based on semantic relatedness among the specific tourist attraction and potentially interesting places. Two algorithms are introduced to calculate the semantic relatedness among different tourist attractions based on the tourist attraction semantic knowledge base with relevant knowledge mainly extracted from Web-based encyclopedias. As an integrated portal for tourist attraction recommendation, CASIA-TAR also provides images, news and microblog posts that are relevant to specific tourist attractions so that visitors could obtain relevant information in an integrated Web-based system.

Keywords

Semantic Relatedness Active Recommendation User Interests Knowledge Base Information Integration 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Zeng, Y., Huang, Z., Liu, F., Ren, X., Zhong, N.: Interest Logic and Its Application on the Web. In: Xiong, H., Lee, W.B. (eds.) KSEM 2011. LNCS (LNAI), vol. 7091, pp. 12–23. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  2. 2.
    Douglas, B., Lenat, C.Y.C.: A Large-Scale Investment in Knowledge Infrastructure. Communications of the ACM 38(11), 32–38 (1995)Google Scholar
  3. 3.
    Zeng, Y., Wang, D., Zhang, T., Wang, H., Hao, H., Xu, B.: CASIA-KB: A Multi-source Chinese Semantic Knowledge Base Built from Structured and Unstructured Web Data. In: Kim, W., Ding, Y., Kim, H.-G. (eds.) JIST 2013. LNCS, vol. 8388, pp. 75–88. Springer, Heidelberg (2013)Google Scholar
  4. 4.
    Zeng, Y., Wang, H., Hao, H., Xu, B.: Statistical and Structural Analysis of Web-based Collaborative Knowledge Bases Generated from Wiki Encyclopedia. In: Proceedings of the 2012 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2012), Macau, China, December 4-7, pp. 553–557 (2012)Google Scholar
  5. 5.
    Lee, W.-N., Shah, N., Sundlass, K., Musen, M.: Comparison of Ontology-based Semantic-Similarity Measures. In: Proceedings of the 2008 AMIA Annual Symposium, pp. 384–388 (2008)Google Scholar
  6. 6.
    Zeng, Y., Wang, D., Zhang, T., Wang, H., Hao, H.: Linking Entities in Short Texts based on a Chinese Semantic Knowledge Base. In: Zhou, G., Li, J., Zhao, D., Feng, Y. (eds.) NLPCC 2013. CCIS, vol. 400, pp. 266–276. Springer, Heidelberg (2013)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Yi Zeng
    • 1
  • Tielin Zhang
    • 1
  • Hongwei Hao
    • 1
  1. 1.Institute of AutomationChinese Academy of SciencesBeijingChina

Personalised recommendations