With the widespread use of Internet of things (IoT), mobile phones, connected devices and
artificial intelligence (AI), recommender systems (RSs) have become a booming technology …

With the growth of online information, varying personalization drifts and volatile behaviors of
internet users, recommender systems are effective tools for information filtering to overcome …

Fashion recommendation is a key research field in computational fashion research and has
attracted considerable interest in the computer vision, multimedia, and information retrieval …

Sentiment analysis is a vital task in natural language processing (NLP) that aims to identify
and extract the emotional states and opinions of text. In this study, we conduct a …

Sites for web‐based shop** are winding up increasingly famous these days.
Organizations are anxious to think about their client purchasing conduct to build their item …

The act of reading has benefits for individuals and societies, yet studies show that reading
declines, especially among the young. Recommender systems can help stop such decline …

This paper presents the state of art techniques in recommender systems (RS). The various
techniques are diagrammatically illustrated which on one hand helps a naïve researcher in …

The exponential growth of recommender systems research has drawn the attention of the
scientific community recently. These systems are very useful in reducing information …

The customer's review plays an important role in deciding the purchasing behaviour for
online shop** as a customer prefers to get the opinion of other customers by observing …

The popularity of the online media-driven social network relation is proven in today's digital
era. The many challenges that these emergence has created include a huge growing …