Speed up Differential Evolution for ranking of items in recommendation systems
U Boryczka, M Bałchanowski - Procedia Computer Science, 2021 - Elsevier
Recommendation systems can suggest users list of items they have not yet seen but might
be interested in. To improve the quality of the generated recommendations, different …
be interested in. To improve the quality of the generated recommendations, different …
Using Differential Evolution in order to create a personalized list of recommended items
U Boryczka, M Bałchanowski - Procedia Computer Science, 2020 - Elsevier
The recommendation systems are used to suggest new, still not discovered items to users.
At the moment, in order to achieve the best quality of the generated recommendations, users …
At the moment, in order to achieve the best quality of the generated recommendations, users …
Aggregation of rankings using metaheuristics in recommendation systems
M Bałchanowski, U Boryczka - Electronics, 2022 - mdpi.com
Recommendation systems are a powerful tool that is an integral part of a great many
websites. Most often, recommendations are presented in the form of a list that is generated …
websites. Most often, recommendations are presented in the form of a list that is generated …
Ensemble approach to detect profile injection attack in recommender system
Recommender systems apply knowledge discovery techniques to specific problem of
making personalized recommendation for the products or services to the users. The huge …
making personalized recommendation for the products or services to the users. The huge …
[PDF][PDF] Clustering approach to detect profile injection attacks in recommender system
Recommender systems apply techniques of knowledge discovery for specific problem to
make personalized recommendation of the products or services to the users. The huge …
make personalized recommendation of the products or services to the users. The huge …
[PDF][PDF] A random-walk based scoring algorithm with application to recommender systems for large-scale e-commerce
M Gori, A Pucci - Proceedings of the 12th ACM SIGKDD International …, 2006 - Citeseer
Recommender systems are an emerging technology that helps consumers to find interesting
products. A recommender system makes personalized product suggestions by extracting …
products. A recommender system makes personalized product suggestions by extracting …
A Content-Based Approach to Profile Expansion
Collaborative Filtering algorithms suffer from the so-called cold-start problem. In particular,
when a user has rated few items, recommendations offered by these algorithms are not too …
when a user has rated few items, recommendations offered by these algorithms are not too …
High Order Profile Expansion to tackle the new user problem on recommender systems
Collaborative Filtering algorithms provide users with recommendations based on their
opinions, that is, on the ratings given by the user for some items. They are the most popular …
opinions, that is, on the ratings given by the user for some items. They are the most popular …
Combining recommendation systems with a dynamic weighted technique
PM Henriques… - 2016 Eleventh International …, 2016 - ieeexplore.ieee.org
Recommender systems represent user preferences for items that the user might be
interested to view or purchase. These systems have become extremely common in …
interested to view or purchase. These systems have become extremely common in …
ICML Exploration & Exploitation challenge: Keep it simple!
Recommendation has become a key feature in the economy of a lot of companies (online
shopping, search engines...). There is a lot of work going on regarding recommender …
shopping, search engines...). There is a lot of work going on regarding recommender …