Online marketplaces often witness opinion spam in the form of reviews. People are often
hired to target specific brands for promoting or impeding them by writing highly positive or …

The field of recommender systems has seen substantial progress in recent years in terms of
algorithmic sophistication and quality of recommendations as measured by standard …

The primary goal of Recommender Systems is to suggest the most suitable items to a user,
aligning them with the user's interests and needs. RSs are essential for modern e …

With the rise of voice assistants and an increase in mobile search usage, natural language
has become an important query language. So far, most of the current systems are not able to …

As an interactive intelligent system, recommender systems are developed to give
recommendations that match users' preferences. Since the emergence of recommender …

The constant increase in the amount of data and information available on the Web has made
the development of systems that can support users in making relevant decisions …

Customer reviews play a major role in online shopping, but there is hardly any support for
aggregating the opinions of multiple reviewers, especially when the user is interested in …

Design of modern intelligent film and television advertisements recommendation system
based on digital media and decision tree is studied in this paper. The characteristic of rough …

On the one hand, users' decision making in today's web is supported in numerous ways,
with mechanisms ranging from manual search over automated recommendation to …

Recommender systems have become very popular for reducing the information overload
users are often confronted with in today's web. Collaborative filtering is the method of choice …