The ultimate goal of the Recommender System (RS) is to offer a proposal that is very close
to the user's real opinion. Data clustering can be effective in increasing the accuracy of …

In mixed-initiative co-creation tasks, wherein a human and a machine jointly create items, it
is important to provide multiple relevant suggestions to the designer. Quality-diversity …

The generation of electrical energy varies depending on the needs of the user, initial
requirements, capacity, intended use, waste generation, and economic efficiency. In order to …

Due to the availability of massive numbers of items for any product on the Web, the burden
of selecting an item is borne by the user. A Recommender System (RS) is a useful tool that …

Recommender systems aim to estimate the judgment or opinion that a user might offer to an
item. Matrix-factorization-based collaborative filtering typifies both users and items as …

Topic-based search systems retrieve items by contextualizing the information seeking
process on a topic of interest to the user. A key issue in topic-based search of text resources …

In this work a novel recommender system (RS) for Tourism is presented. The RS is context
aware as is now the rule in the state-of-the-art for recommender systems and works on top of …

The final objective of the Recommender Systems (RSs) is to offer recommendations to the
user that are close to his/her taste. When the user enters the system, the most similar data …

Today, one of the users' issues on the web is finding their desired information from a
massive amount of data. Recommender systems aid users in making decisions and …

This paper presents the optimization of house purchase recommendation system (HRPS)
using Genetic Algorithm. Everyone in this world has their own dream house and plan to …