A reliable deep representation learning to improve trust-aware recommendation systems
Deep neural networks have been extensively employed in many applications such as
natural language processing and computer vision. They have attracted a lot of attention in …
natural language processing and computer vision. They have attracted a lot of attention in …
A social recommender system based on reliable implicit relationships
Recommender systems attempt to suggest information that is of potential interest to users
hel** them to quickly find information relevant to them. In addition to historical user–item …
hel** them to quickly find information relevant to them. In addition to historical user–item …
RDERL: Reliable deep ensemble reinforcement learning-based recommender system
Recommender systems (RSs) have been employed for many real-world applications
including search engines, social networks, and information retrieval systems as powerful …
including search engines, social networks, and information retrieval systems as powerful …
[PDF][PDF] User-Review Oriented Social Recommender System for Event Planning.
Recommender system is used to suggest product or topic based on user's interest. Existing
recommender system have focused on books, product, music etc. The problem in existing …
recommender system have focused on books, product, music etc. The problem in existing …
Incorporating reliable virtual ratings into social recommendation systems
Social recommendation systems use social relations (such as trust, friendship, etc.) among
users to find preferences and provide relevant suggestions to users. Historical ratings of …
users to find preferences and provide relevant suggestions to users. Historical ratings of …
Approaching the cold-start problem using community detection based alternating least square factorization in recommendation systems
L Paleti, P Radha Krishna, JVR Murthy - Evolutionary Intelligence, 2021 - Springer
In e-commerce, the opinion of users about products and the reviews are identified using
recommender systems. Collaborative filtering techniques are popularly used techniques for …
recommender systems. Collaborative filtering techniques are popularly used techniques for …
How to boost the performance of recommender systems by social trust? Studying the challenges and proposing a solution
With the increasing number of items in electronic retailers, news websites, etc., finding
interesting items concerning the taste of users is becoming more challenging …
interesting items concerning the taste of users is becoming more challenging …
Trust prediction for online social networks with integrated time-aware similarity
Online social networks gain increasing popularity in recent years. In online social networks,
trust prediction is significant for recommendations of high reputation users as well as in …
trust prediction is significant for recommendations of high reputation users as well as in …
An extended ontology model for trust evaluation using advanced hybrid ontology
P Dhillon, M Singh - Journal of Information Science, 2023 - journals.sagepub.com
In the blooming area of Internet technology, the concept of Internet-of-Things (IoT) holds a
distinct position that interconnects a large number of smart objects. In the context of social …
distinct position that interconnects a large number of smart objects. In the context of social …
Defining the big social data paradigm through a systematic literature review approach
Purpose This study aims to investigate the Big Social Data (BSD) paradigm, which still lacks
a clear and shared definition, and causes a lack of clarity and understanding about its …
a clear and shared definition, and causes a lack of clarity and understanding about its …