Medicine rating prediction and recommendation in mobile social networks

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

Volumn 7861 LNCS, Issue , 2013, Pages 216-223

  Li, Shuai ^a   Hao, Fei ^b   Li, Mei ^c   Kim, Hee Cheol ^a  

^a Inje University   (South Korea)

^b UNIVERSITY OF BRADFORD   (United Kingdom)

^c Diffverse (Beijing) Technology Co Ltd   (China)

Author keywords

Machine learning; Medicine rating prediction; Mobile social network; Recommender system; Ubiquitous healthcare

Indexed keywords

DECISION SUPPORTS; INFORMATION ACCESSIBILITY; INFORMED DECISION; MOBILE SOCIAL INTERACTIONS; MOBILE SOCIAL NETWORKS; RECOMMENDATION MECHANISM; UBIQUITOUS HEALTH CARE; WIRELESS CONNECTION;

DECISION SUPPORT SYSTEMS; ELECTRONIC COMMERCE; FORECASTING; HEALTH CARE; LEARNING SYSTEMS; MOBILE DEVICES; RECOMMENDER SYSTEMS; SOCIAL NETWORKING (ONLINE); UBIQUITOUS COMPUTING;

RATING;

EID: 84883367646     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-38027-3_23     Document Type: Conference Paper

References (10)

1. Masashi, S.: Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis. Journal of Machine Learning Research 8, 1027-1061 (2007)
2. Margaret, A.H., Francis, S.C.: The Path to Personalized Medicine. The New England Journal of Medicine 363, 301-304 (2010)
3. Fei, H., Min, C., Chunsheng, Z., Mohsen, G.: Discovering Influential Users in Micro-blog Marketing with Influence Maximization Mechanism. In: IEEE Proceedings of Global Communications Conference (GLOBECOM 2012), California, USA (2012)
4. Qiuping, G., Charles, F.D., Vicki, L.B.: Prescription drug use continues to increase: U.S. prescription drug data for 2007-2008 NCHS data brief. No. 42, Hyattsville, MD: National Center for Health Statistics (2010)
5. Sanjay, P., Yan, L., Jay Kuo, C.-C.: Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems. In: 29th International Conference on Machine Learning (ICML 2012), Scotland (2012)
6. Yueyang, A.L.: Medical Data Mining: Improving Information Accessibility using Online Patient Drug Reviews. Master's Thesis, Dept. of EECS, MIT (2011)
7. Jason, W., Chong, W., Ron, W., Adam, B.: Latent Collaborative Retrieval. In: 29th International Conference on Machine Learning (ICML 2012), Scotland (2012)
8. Francesco, R., Lior, R., Bracha, S.: Chap. 1: Introduction to Recommender Systems Handbook. In: Recommender Systems Handbook, pp. 1-35. Springer (2011)
9. Panagiotis, S., Eleftherios, T., Yannis, M.: Product Recommendation and Rating Prediction based on Multi-modal Social Networks. In: Proceedings of the 5th ACM Conference on Recommender Systems (RecSys 2011), pp. 61-68. ACM (2011)
10. Yutaka, M., Hikaru, Y.: Community Gravity: Measuring Bidirectional Effects by Trust and Rating on Online Social Networks. In: Proceedings of the 18th International Conference on World Wide Web (WWW 2009), pp. 751-760. ACM (2009)