In recent times, the recommender systems (RSs) have considerable importance in
academia, commercial activities, and industry. They are widely used in various domains …

The main goal of Aspect-Based Opinion Mining is to extract product's aspects and the
associated user opinions from the user text review. Although this serves as vital source …

In the area of e-commerce, there exists a special, implicit community being composed of
product reviewers. A reviewer normally provides two types of info: one is the overall rating …

Context-aware recommender systems have been widely investigated in both academia and
industry because they can make recommendations based on a user's current context (eg …

Recommender systems help users to deal with the information overload problem by
producing personalized content according to their interests. Beyond the traditional …

Recommending products to new buyers is an important problem for online shop**
services, since there are always new buyers joining a deployed system. In some …

Fine-grained opinions are often buried in user reviews. The opinionated aspects may also
be associated with different weights by reviewers to represent the aspects' relative …

Recommender systems help dealing with the information overload problem since they
provide personalized content for users. There are two major paradigms in recommendation …

Recommender systems (RS) are the most widely used technique to suggest the users their
likings based on the ratings and ranking given by another set of users from the same …

Sistemas de recomendação surgiram da necessidade de selecionar e apresentar conteúdo
relevante a usuários de acordo com suas preferências. Dentre os diversos métodos …