Travel recommendation via author topic model based collaborative filtering

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8936, Issue , 2015, Pages 392-402

  Jiang, Shuhui ^a   Qian, Xueming ^a   Shen, Jialie ^b   Mei, Tao ^c  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b SINGAPORE MANAGEMENT UNIVERSITY   (Singapore)

^c MICROSOFT RESEARCH   (United States)

Author keywords

Author topic model; Multimedia; Travel recommendation

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

MULTIMEDIA; POINTS OF INTEREST; SPARSITY PROBLEMS; TEXTUAL DESCRIPTION; TOPIC MODELING; TOPIC PREFERENCES; TRAVEL RECOMMENDATION; USER IDENTIFICATION;

COLLABORATIVE FILTERING;

EID: 84927786233     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-14442-9_45     Document Type: Conference Paper

References (14)

1. [1] Clements, M., Serdyukov, P., de Vries, A.P., Reinders, M.J.T.: Personalized Travel Recommendation based on Location Co-occurrence. CoRR, abs/1106.5213 (2011)
2. [2] Bao, J., Zheng, Y., Mokbel, M.F.: Location-based and Preference-Aware Recommendation Using Sparse Geo-Social Networking Data. In: ACM GIS 2012 (2012)
3. [3] Michal, R.Z., Griffiths, T., Steyvers, M., Smyth, P.: The author-topic model for authors and documents. In: Proceedings of Uncertainty in Artificial Intelligence, pp. 487–494 (2004)
4. [4] Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. The Journal of machine Learning research 3(5), 993–1022 (2003)
5. [5] Sang, J., Mei, T., Sun, J.-T., Xu, C., et al.: Probabilistic Sequential POIs Recommendation via Check-In Data. In: ACM SIGSPATIAL GIS, USA (November 2012)
6. [6] Cheng, A.-J., Chen, Y.-Y., Hang, Y.-T., Hsu, W.H., Mark Liao, H.-Y.: Personalized travel recommendation by mining people attributes from community-contributed photos. In: ACM MM 2011, NY, USA, pp. 83–92 (2011)
7. [7] Kori, H., Hattori, S., Tezuka, T., Tanaka, K.: Automatic Generation of Multimedia Tour Guide from Local Blogs. In: Cham, T.-J., Cai, J., Dorai, C., Rajan, D., Chua, T.-S., Chia, L.-T. (eds.) MMM 2007. LNCS, vol. 4351, pp. 690–699. Springer, Heidelberg (2006)
8. [8] Zheng, Y., Zhang, L.Z., Ma, Z.X., Xie, X., Ma, W.-Y.: Recommending Friends and Locations Based on Individual Location History. ACM Transactions on the Web 5(1), Article 5 (February 2011)
9. [9] Liu, Q., Ge, Y., Li, Z.M., Chen, E., Xing, H.: Personalized Travel Package Recommendation. In: Proceedings of 11th ICDM (2011)
10. [10] Hofmann, T.: Unsupervised learning by probabilistic latent semantic analysis. Machine Learning 42(12), 177–196 (2001)
11. [11] Shen, J., Cheng, Z., Shen, J., Mei, T., Gao, X.: The Evolution of Research on Multimedia Travel Guide Search and Recommender Systems. In: Gurrin, C., Hopfgartner, F., Hurst, W., Johansen, H., Lee, H., O’Connor, N. (eds.) MMM 2014, Part II. LNCS, vol. 8326, pp. 227–238. Springer, Heidelberg (2014)
12. [12] Qian, X., Feng, H., Zhao, G., Mei, T.: Personalized Recommendation Combining User Interest and Social Circle. IEEE Trans. Knowledge and Data Engineering 26(7), 1487–1502 (2014)
13. [13] Feng, H., Qian, X.: Mining User-Contributed Photos for Personalized Product Recommendation. Neurocomputing 129, 409–420 (2014)
14. [14] Qian, X., Liu, X., Zheng, C., Du, Y., Hou, X.: Tagging photos using users’ vocabularies. Neurocomputing 111, 144–153 (2013)