[HTML][HTML] Efficient clustering in collaborative filtering recommender system: Hybrid method based on genetic algorithm and gravitational emulation local search …
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 …
to the user's real opinion. Data clustering can be effective in increasing the accuracy of …
Preference-learning emitters for mixed-initiative quality-diversity algorithms
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 …
is important to provide multiple relevant suggestions to the designer. Quality-diversity …
Modeling and analysis: power injection model approach for high performance of electrical distribution networks
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 …
requirements, capacity, intended use, waste generation, and economic efficiency. In order to …
Improving recommender systems by a further factorization of the factor matrices
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 …
of selecting an item is borne by the user. A Recommender System (RS) is a useful tool that …
Evolving matrix-factorization-based collaborative filtering using genetic programming
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 …
item. Matrix-factorization-based collaborative filtering typifies both users and items as …
Multi-objective genetic programming strategies for topic-based search with a focus on diversity and global recall
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 …
process on a topic of interest to the user. A key issue in topic-based search of text resources …
Ontology-based Context Aware Recommender System Application for Tourism
VT Camacho, J Cruz - arxiv preprint arxiv:2301.00768, 2022 - arxiv.org
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 …
aware as is now the rule in the state-of-the-art for recommender systems and works on top of …
Efficient recommendations in collaborative filtering recommender system: A multi-objective evolutionary approach based on NSGA-II algorithm
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 …
user that are close to his/her taste. When the user enters the system, the most similar data …
An improved method multi-view group recommender system (IMVGRS)
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 …
massive amount of data. Recommender systems aid users in making decisions and …
[PDF][PDF] Optimization of house purchase recommendation system (HPRS) using genetic algorithm
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 …
using Genetic Algorithm. Everyone in this world has their own dream house and plan to …