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Research commentary on recommendations with side information: A survey and research directions
Recommender systems have become an essential tool to help resolve the information
overload problem in recent decades. Traditional recommender systems, however, suffer …
overload problem in recent decades. Traditional recommender systems, however, suffer …
Diversity, serendipity, novelty, and coverage: a survey and empirical analysis of beyond-accuracy objectives in recommender systems
What makes a good recommendation or good list of recommendations? Research into
recommender systems has traditionally focused on accuracy, in particular how closely the …
recommender systems has traditionally focused on accuracy, in particular how closely the …
Recommender system application developments: a survey
A recommender system aims to provide users with personalized online product or service
recommendations to handle the increasing online information overload problem and …
recommendations to handle the increasing online information overload problem and …
Improving accountability in recommender systems research through reproducibility
Reproducibility is a key requirement for scientific progress. It allows the reproduction of the
works of others, and, as a consequence, to fully trust the reported claims and results. In this …
works of others, and, as a consequence, to fully trust the reported claims and results. In this …
Personalized hybrid recommendation for group of users: Top-N multimedia recommender
Nowadays, the increasing demand for group recommendations can be observed. In this
paper we address the problem of recommendation performance for groups of users (group …
paper we address the problem of recommendation performance for groups of users (group …
From word embeddings to item recommendation
Social network platforms can use the data produced by their users to serve them better. One
of the services these platforms provide is recommendation service. Recommendation …
of the services these platforms provide is recommendation service. Recommendation …
Personalized recommender system based on friendship strength in social network services
The rapid growth of social network services has produced a considerable amount of data,
called big social data. Big social data are helpful for improving personalized recommender …
called big social data. Big social data are helpful for improving personalized recommender …
Multirelational social recommendations via multigraph ranking
Recommender systems aim to identify relevant items for particular users in large-scale
online applications. The historical rating data of users is a valuable input resource for many …
online applications. The historical rating data of users is a valuable input resource for many …
ClubCF: A clustering-based collaborative filtering approach for big data application
Spurred by service computing and cloud computing, an increasing number of services are
emerging on the Internet. As a result, service-relevant data become too big to be effectively …
emerging on the Internet. As a result, service-relevant data become too big to be effectively …
Adaptive social learning based on crowdsourcing
Many techniques have been developed to enhance learning experience with computer
technology. A particularly great influence of technology on learning came with the …
technology. A particularly great influence of technology on learning came with the …