With the increase in Technology Enhanced Learning (TEL), the effective retrieval and
availability of Learning Objects (LOs) for course designers is a significant concern. Text …

News recommendation plays an important role in alleviating information overload and
helping users find their interesting news. Most of the existing news recommendation …

Collaborative filtering (CF), one of the most widely employed methodologies for
recommender systems, has drawn undeniable attention due to its effectiveness and …

Similarity is a vital component for neighborhood-based collaborative filtering (CF). To
improve the quality of recommendation, many similarity methods have been proposed and …

In the recommendation domain, user rating data has high sparsity and the number of
interaction information from each user is very uneven, which brings great technical …

To the best of our knowledge, few studies have focused on the inconsistency between user
ratings and reviews as well as natural noise management in recommender systems (RSs) …

In memory-based collaborative filtering (CF) algorithms, the similarity and prediction method
have a significant impact on the recommendation results. Most of the existing …

Recommender systems have attracted numerous scholars' attention. Group recommender is
a fashionable though challenging topic in the field of recommender systems. Most methods …

There are two broad frameworks for collaborative filtering. Chronologically, the
neighborhood based models came first–they were based on linear interpolation where the …

Route schema is difficult to plan for tourists, because they demand to pick points of interest
(POI) in unknown areas that align with their preferences and limitations. This research …