Today, recommender systems play a vital role in the acceleration of searches by internet
users to find what they are interested in. Among the strategies proposed for recommender …

Jaccard index, originally proposed by Jaccard (Bull Soc Vaudoise Sci Nat 37: 241–272,
1901), is a measure for examining the similarity (or dissimilarity) between two sample data …

Recommendation system is one of the most valuable approaches to provide personalized
services for users. It helps in finding the relevant information as per user's interest from …

There is nowadays explosive growth and diversity of information due to the development of
the internet. Thus, decision making in various fields has faced different challenges …

Recommendation systems are information filtering tools and techniques which provide
valuable suggestions to users about items they may like by considering various attributes. In …

Recently, due to the increasing amount of data on the Internet along with the increase in
products' purchasing via e-commerce websites, Recommender Systems (RS) play an …

Recommendation System or Recommender System help the user to predict the" rating" or"
preference" a user would give to an item. Recommender systems in general helps the users …

Recommender systems include a broad scope of applications and are associated with
subjective preferences, indicating variations in recommendations. As a field of data science …

Saat ini, terdapat berbagai teknologi baru sebagai akibat dari perkembangan teknologi
yang sangat cepat. Munculnya teknologi baru juga berdampak pada munculnya …

Currently in many real time applications, recommender systems play a prominent role in
helping the customers by selecting the most suitable products of their requirements …