Recommender systems have been widely applied to several domains and applications to
assist decision making by recommending items tailored to user preferences. One of the …

Purpose This paper aims to identify, evaluate and integrate the findings of all relevant and
high-quality individual studies addressing one or more research questions about …

Recommendation system (RS) is a technology that provides accurate recommendations to
users. However, it is not comprehensive to only consider the accuracy of the …

Recommendation system (RS) is a technology that provides accurate recommendation for
users. In order to make the recommendation results more accurate and diverse, we …

Recommendation system is a technology that can mine user's preference for items.
Explainable recommendation is to produce recommendations for target users and give …

As the application scenarios of recommendation algorithms are becoming increasingly
complex, the efficiency of traditional recommendation algorithm based on accuracy is no …

Recommender systems have been regarded as gaining a more significant role with the
emergence of the first research article on collaborative filtering (CF) in the mid-1990s. CF …

Exercise group recommendation plays an important role in many intelligent education tasks.
However, existing approaches make recommendations based on the intrinsic features of …

Due to its successful application in information filtering and knowledge retrieval systems in
the era of big data, personalized recommender system plays a significant role in meeting …

Recommender systems which focus only on the improvement of recommendations' accuracy
are named “accuracy-centric”. These systems encounter some problems the major of which …