With the increase of information on the internet, more and more electronic data are
appearing. Recommender systems were developed to help customers find related items or …

Recommender Systems (RS) have became a popular research topic and, since 2016, Deep
Learning methods and techniques have been increasingly explored in this area. News RS …

Recommender systems is a subclass of data filtering system that seeks to predict the “rating”
or “preference” a user would give to an item. It has become ubiquitous nowadays. This …

The recommender system is the most developing application in the web environment. A
good Recommendation system needs to make choices and decisions to provide …

Recommender systems are one of the best choices to cope with the problem of information
overload. These systems are commonly used in recent years help to match users with …

Now days, cosmetic product plays major role in personality appearance. With online
shopping and E-commerce websites customers are given number of products. Selecting …

In this paper, we explore natural language processing (NLP) methods to perform sentiment
analysis or opinion mining. In addition, we show an application on English and Arabic …

With today's information overload, recommender systems are important to help users in
finding needed information. In the movies domain, finding a good movie to watch is not an …

The replacement of traditional shopping fashion by the varied modes of online shopping in
real-time. Due to traditional shopping, most of them are becoming into real feel about the …

Everybody plans vacations, and the starting point in any trip preparation is to locate a hotel.
Thousands of websites offer advice on which hotel would be best for our trip. I'll present how …