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Publication
Multi-agent-based recommender systems: a literature review
| Name: | Description: | Size: | Format: | |
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| 428.75 KB | Adobe PDF |
Advisor(s)
Abstract(s)
Considering the growing volume of information and services available
on the Web, it has become essential to provide Web sites and applications with
tools, such as recommender systems, capable of helping their users to obtain the
information and services appropriate to their interests. Due to the complexity of
Web adaptation and the ability of multi-agent systems to deal with complex problems, the multi-agent systems technology have been increasing. In this paper, we
present a thorough survey of the use of multi-agent-based recommender systems.
The results show that the use of multi-agent systems in recommender systems is
increasing. The review shows the diversity of applications of multi-agent systems
in recommender systems, namely on what concerns to the diversity of domains,
different types of approaches, contributing to improving the performance of the
recommendation systems.
Description
Keywords
Recommender systems Multi-agent systems Survey Literature review State-of-the-art