L Chen, G Chen, F Wang - User Modeling and User-Adapted Interaction, 2015 - Springer
In recent years, a variety of review-based recommender systems have been developed, with the goal of incorporating the valuable information in user-generated textual reviews into the …
WX Zhao, S Li, Y He, EY Chang… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
In recent years, the boundaries between e-commerce and social networking have become increasingly blurred. Many e-commerce Web sites support the mechanism of social login …
Intelligence is the ability to learn from experience and use domain experts' knowledge to adapt to new situations. In this context, an intelligent Recommender System should be able …
TK Paradarami, ND Bastian, JL Wightman - Expert Systems with …, 2017 - Elsevier
In the context of recommendation systems, metadata information from reviews written for businesses has rarely been considered in traditional systems developed using content …
SM Al-Ghuribi, SAM Noah - IEEE Access, 2019 - ieeexplore.ieee.org
In recent times, the recommender systems (RSs) have considerable importance in academia, commercial activities, and industry. They are widely used in various domains …
As a tremendous number of mobile applications (apps) are readily available, users have difficulty in identifying apps that are relevant to their interests. Recommender systems that …
Collaborative Filtering (CF) is one of the most extensively used technologies for Recommender Systems (RS), it shows an improved intelligent searching mechanism for …
Shilling attacks against collaborative filtering (CF) models are characterized by several fake user profiles mounted on the system by an adversarial party to harvest recommendation …
Z Chen, S Wang - Knowledge and Information Systems, 2022 - Springer
Recommender systems that predict the preference of users have attracted more and more attention in decades. One of the most popular methods in this field is collaborative filtering …