[HTML][HTML] A survey on heterogeneous information network based recommender systems: Concepts, methods, applications and resources
As an important way to alleviate information overload, a recommender system aims to filter
out irrelevant information for users and provides them items that they may be interested in. In …
out irrelevant information for users and provides them items that they may be interested in. In …
Multi-task learning for recommendation over heterogeneous information network
Traditional recommender systems (RS) only consider homogeneous data and cannot fully
model heterogeneous information of complex objects and relations. Recent advances in the …
model heterogeneous information of complex objects and relations. Recent advances in the …
Meta-graph based recommendation fusion over heterogeneous information networks
Heterogeneous Information Network (HIN) is a natural and general representation of data in
modern large commercial recommender systems which involve heterogeneous types of …
modern large commercial recommender systems which involve heterogeneous types of …
[PDF][PDF] Collaborative filtering with entity similarity regularization in heterogeneous information networks
Researchers have been studying hybrid recommender systems which combine user-item
rating data with external information in recent years. Some studies suggest that by …
rating data with external information in recent years. Some studies suggest that by …
Recommendation in heterogeneous information networks based on generalized random walk model and bayesian personalized ranking
Z Jiang, H Liu, B Fu, Z Wu, T Zhang - … on Web Search and Data Mining, 2018 - dl.acm.org
Recommendation based on heterogeneous information network (HIN) is attracting more and
more attention due to its ability to emulate collaborative filtering, content-based filtering …
more attention due to its ability to emulate collaborative filtering, content-based filtering …
Curriculum Pre-training Heterogeneous Subgraph Transformer for Top-N Recommendation
To characterize complex and heterogeneous side information in recommender systems, the
heterogeneous information network (HIN) has shown superior performance and attracted …
heterogeneous information network (HIN) has shown superior performance and attracted …
A systematic review and research perspective on recommender systems
Recommender systems are efficient tools for filtering online information, which is
widespread owing to the changing habits of computer users, personalization trends, and …
widespread owing to the changing habits of computer users, personalization trends, and …
Heterogeneous information network embedding for recommendation
Due to the flexibility in modelling data heterogeneity, heterogeneous information network
(HIN) has been adopted to characterize complex and heterogeneous auxiliary data in …
(HIN) has been adopted to characterize complex and heterogeneous auxiliary data in …
Attentive meta-graph embedding for item recommendation in heterogeneous information networks
Heterogeneous information network (HIN) has become increasingly popular to be exploited
in recommender systems, since it contains abundant semantic information to help generate …
in recommender systems, since it contains abundant semantic information to help generate …
Unified embedding model over heterogeneous information network for personalized recommendation
Most of heterogeneous information network (HIN) based recommendation models are based
on the user and item modeling with meta-paths. However, they always model users and …
on the user and item modeling with meta-paths. However, they always model users and …