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SGCF: Inductive Movie Recommendation System with Strongly Connected Neighborhood Sampling
User and item embeddings are key resources for the development of recommender systems. Recent works has exploited connectivity between users and items in graphs to incorporate the preferences of local neighborhoods into embeddings. Information…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Adopting explicit and implicit social relations by SVD++ for recommendation system improvement
Recommender systems suffer a set of drawbacks such as sparsity. Social
relations provide a useful source to overcome the sparsity problem. Previous
studies have utilized social relations or rating feedback sources. However, they
ignored…
relations provide a useful source to overcome the sparsity problem. Previous
studies have utilized social relations or rating feedback sources. However, they
ignored…