One of the typical goals of collaborative filtering algorithms is to produce rating predictions
with values very close to what real users would give to an item. Afterward, the items having …

The target review has been proven to be able to predict the target user's rating of the target
item. However, in practice, it is difficult to obtain the target review promptly. In addition, the …

The recommendation system plays an integral role in our daily lives, from movies to medical
treatment. However, designing an efficient recommendation system is a complex task that …

Recommender systems search the underlying preferences of users according to their
historical ratings and recommend a list of items that may be of interest to them. Rating …

Collaborative filtering is a popular recommender system (RecSys) method that produces
rating prediction values for products by combining the ratings that close users have already …

Collaborative filtering has proved to be one of the most popular and successful rating
prediction techniques over the last few years. In collaborative filtering, each rating prediction …

The abundance of information on online purchasing websites makes it challenging for
customers to locate products that match their preferences. However, the cold-start problem …

The current spread of the Internet across an ever-increasing number of devices, including
mobile and IoT devices, has created an enormous flow of data. Therefore, in the era of big …

One of the typical goals of collaborative filtering algorithms is to produce rating predictions
with values very close to what real users would give to an item. Afterward, the items having …