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[PDF][PDF] Matrix factorization techniques for context-aware collaborative filtering recommender systems: A survey
Abstract Collaborative Filtering Recommender Systems predict user preferences for online
information, products or services by learning from past user-item relationships. A …
information, products or services by learning from past user-item relationships. A …
Social collaborative viewpoint regression with explainable recommendations
A recommendation is called explainable if it not only predicts a numerical rating for an item,
but also generates explanations for users' preferences. Most existing methods for …
but also generates explanations for users' preferences. Most existing methods for …
Multi-graph heterogeneous interaction fusion for social recommendation
With the rapid development of online social recommendation system, substantial methods
have been proposed. Unlike traditional recommendation system, social recommendation …
have been proposed. Unlike traditional recommendation system, social recommendation …
A privacy-preserving distributed contextual federated online learning framework with big data support in social recommender systems
Nowadays, the booming demand of big data analytics and the constraints of computational
ability and network bandwidth have made it difficult for a stand-alone agent/service provider …
ability and network bandwidth have made it difficult for a stand-alone agent/service provider …
Social-aware movie recommendation via multimodal network learning
With the rapid development of Internet movie industry social-aware movie recommendation
systems (SMRs) have become a popular online web service that provide relevant movie …
systems (SMRs) have become a popular online web service that provide relevant movie …
Relational stacked denoising autoencoder for tag recommendation
Tag recommendation has become one of the most important ways of organizing and
indexing online resources like articles, movies, and music. Since tagging information is …
indexing online resources like articles, movies, and music. Since tagging information is …
Attribute-aware recommender system based on collaborative filtering: Survey and classification
Attribute-aware CF models aim at rating prediction given not only the historical rating given
by users to items but also the information associated with users (eg, age), items (eg, price) …
by users to items but also the information associated with users (eg, age), items (eg, price) …
Towards context-aware social recommendation via individual trust
Incorporating social network information and contexts to improve recommendation
performance has been drawing considerable attention recently. However, a majority of …
performance has been drawing considerable attention recently. However, a majority of …
A hybrid approach for movie recommendation via tags and ratings
Selecting a movie often requires users to perform numerous operations when faced with
vast resources from online movie platforms. Personalized recommendation services can …
vast resources from online movie platforms. Personalized recommendation services can …
Explainable recommendation with fusion of aspect information
Explainable recommendation has attracted increasing attention from researchers. The
existing methods, however, often suffer from two defects. One is the lack of quantitative fine …
existing methods, however, often suffer from two defects. One is the lack of quantitative fine …