Towards personalized context-aware recommendation by mining context logs through topic models

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

Volumn 7301 LNAI, Issue PART 1, 2012, Pages 431-443

  Yu, Kuifei ^a,b   Zhang, Baoxian ^a   Zhu, Hengshu ^b,c   Cao, Huanhuan ^b   Tian, Jilei ^b  

^a UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^b NOKIA RESEARCH CENTER   (United States)

^c UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Context Aware; Latent Dirichlet Allocation (LDA); Mobile Users; Personalization; Recommender System

Indexed keywords

CONTEXT AWARE SERVICES; CONTEXT DATA; CONTEXT-AWARE; CONTEXTUAL INFORMATION; CRITICAL CHALLENGES; LATENT DIRICHLET ALLOCATIONS; MOBILE USERS; PERSONALIZATIONS; REAL WORLD DATA; TOPIC MODEL; USER CONTEXT;

DATA MINING; INFORMATION SERVICES; MOBILE DEVICES; RECOMMENDER SYSTEMS; STATISTICS; VIRTUAL REALITY;

GLOBAL SYSTEM FOR MOBILE COMMUNICATIONS;

EID: 84861439818     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-30217-6_36     Document Type: Conference Paper

References (17)

1. Azzopardi, L., Girolami, M., Risjbergen, K.V.: Investigating the relationship between language model perplexity and ir precision-recall measures. In: SIGIR 2003, pp. 369-370 (2003)
2. Bader, R., Neufeld, E., Woerndl, W., Prinz, V.: Context-aware poi recommendations in an automotive scenario using multi-criteria decision making methods. In: CaRR 2011, pp. 23-30 (2011)
3. Bao, T., Cao, H., Chen, E., Tian, J., Xiong, H.: An unsupervised approach to modeling personalized contexts of mobile users. In: ICDM 2010, pp. 38-47 (2010)
4. Blei, D.M., Ng, A.Y., Jordan, M.I.: Lantent dirichlet allocation. Journal of Machine Learning Research, 993-1022 (2003)
5. Eagle, N., Clauset, A., Quinn, J.A.: Location segmentation, inference and prediction for anticipatory computing. In: AAAI Spring Symposium on Technosocial Predictive Analytics (2009)
6. Griffiths, T.L., Steyvers, M.: Finding scientific topics. Proceedings of National Academy of Science of the USA, 5228-5235 (2004)
7. Heinrich, G.: Paramter stimaion for text analysis. Technical report, University of Lipzig (2009)
8. Hofmann, T.: Probabilistic latent semantic indexing. In: SIGIR 1999, pp. 50-57 (1999)
9. Jae Kim, K., Ahn, H., Jeong, S.: Context-aware recommender systems using data mining techniques. Journal of World Academy of Science, Engineering and Technology 64, 357-362 (2010)
10. Karatzoglou, A., Amatriain, X., Baltrunas, L., Oliver, N.: Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering. In: RecSys 2010, pp. 79-86 (2010)
11. Nigam, K., McCallum, A.K., Thrun, S., Mitchell, T.: Text classification from labeled and unlabeled documents using EM. Machine Learning 39, 103-134 (2000)
12. Park, M.-H., Hong, J.-H., Cho, S.-B.: Location-Based Recommendation System Using Bayesian User's Preference Model in Mobile Devices. In: Indulska, J., Ma, J., Yang, L.T., Ungerer, T., Cao, J. (eds.) UIC 2007. LNCS, vol. 4611, pp. 1130-1139. Springer, Heidelberg (2007)
13. Sohn, T., Li, K.A., Lee, G., Smith, I., Scott, J., Griswold, W.G.: Place-Its: A Study of Location-Based Reminders on Mobile Phones. In: Beigl, M., Intille, S.S., Rekimoto, J., Tokuda, H. (eds.) UbiComp 2005. LNCS, vol. 3660, pp. 232-250. Springer, Heidelberg (2005)
14. Tung, H.-W., Soo, V.-W.: A personalized restaurant recommender agent for mobile e-service. In: EEE 2004, pp. 259-262 (2004)
15. van Setten, M., Pokraev, S., Koolwaaij, J.: Context-Aware Recommendations in the Mobile Tourist Application COMPASS. In: De Bra, P.M.E., Nejdl, W. (eds.) AH 2004. LNCS, vol. 3137, pp. 235-244. Springer, Heidelberg (2004)
16. Woerndl, W., Schueller, C., Wojtech, R.: A hybrid recommender system for context-aware recommendations of mobile applications. In: ICDE 2007, pp. 871-878 (2007)
17. Zheng, V.W., Cao, B., Zheng, Y., Xie, X., Yang, Q.: Collaborative filtering meets mobile recommendation: A user-centered approach. In: AAAI 2010, pp. 236-241 (2010)