Personalized entity recommendation
University of Illinois Urbana-Champaign · Northeastern University
Abstract
Among different hybrid recommendation techniques, network-based entity recommendation methods, which utilize user or item relationship information, are beginning to attract increasing attention recently. Most of the previous studies in this category only consider a single relationship type, such as friendships in a social network. In many scenarios, the entity recommendation problem exists in a heterogeneous information network environment. Different types of relationships can be potentially used to improve the recommendation quality. In this paper, we study the entity recommendation problem in heterogeneous information networks. Specifically, we propose to combine heterogeneous relationship information for…
Citation impact
- FWCI
- 88.57
- Percentile
- 100%
- References
- 30
Authors
8Topics & keywords
- Computer science
- Recommender system
- Heterogeneous network
- Quality (philosophy)
- Information retrieval
- Social network (sociolinguistics)
- World Wide Web
- Data science