A Hybrid Recommender System Based on User-Recommender Interaction

Article English OPEN
Zhang, Heng-Ru; Min, Fan; He, Xu; Xu, Yuan-Yuan;

Recommender systems are used to make recommendations about products, information, or services for users. Most existing recommender systems implicitly assume one particular type of user behavior. However, they seldom consider user-recommender interactive scenarios in rea... View more
  • References (43)
    43 references, page 1 of 5

    Duan, L., Street, W. N., Xu, E.. Healthcare information systems: data mining methods in the creation of a clinical recommender system. Enterprise Information Systems. 2011; 5 (2): 169-181

    Min, F., Zhu, W.. Mining top-k granular association rules for recommendation. : 1372-1376

    He, X., Min, F., Zhu, W.. A comparative study of discretization approaches for granular association rule mining. : 725-729

    Bobadilla, J., Ortega, F., Hernando, A., Gutiérrez, A.. Recommender systems survey. Knowledge-Based Systems. 2013; 46: 109-132

    Delgado, J., Ishii, N.. Memory-based weighted majority prediction.

    Zhang, H.-R., Min, F., He, X.. Aggregated recommendation through random forests. The Scientific World Journal. 2014; 2014-11

    Zhang, H. R., Min, F., Wang, S. S.. A random forest approach to model-based recommendation. Journal of Information and Computational Science. 2014; 11 (15): 5341-5348

    Pennock, D. M., Horvitz, E., Lawrence, S., Giles, C. L.. Collaborative filtering by personality diagnosis: a hybrid memory-and model-based approach. : 473-480

    Burke, R.. Hybrid recommender systems: survey and experiments. User Modelling and User-Adapted Interaction. 2002; 12 (4): 331-370

    Cremonesi, P., Turrin, R., Airoldi, F.. Hybrid algorithms for recommending new items. : 33-40

  • Metrics
Share - Bookmark