Improving Group Recommendations using Personality, Dynamic Clustering and Multi-Agent MicroServices-Reference-Cited by-同舟云学术

Improving Group Recommendations using Personality, Dynamic Clustering and Multi-Agent MicroServices

Published:2023-09-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 17th ACM Conference on Recommender Systems
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Author:

Alves Patrícia¹^ORCID,Martins André²^ORCID,Novais Paulo³^ORCID,Marreiros Goreti⁴^ORCID

Affiliation:

1. GECAD, Superior Institute of Engineering of Porto, Polytechnic of Porto, Portugal and ALGORITMI/LASI, University of Minho, Portugal

2. GECAD/LASI, Superior Institute of Engineering of Porto, Polytechnic of Porto, Portugal

3. ALGORITMI/LASI, University of Minho, Portugal

4. GECAD, Superior Institute of Engineering of Porto, Polytechnic of Porto, Portugal

Funder

European Regional Development Fund

Fundação para a Ciência e a Tecnologia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3604915.3610653

Reference28 articles.

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2. A Group Recommender System for Tourist Activities

3. A chat-based group recommender system for tourism

4. Modeling a Mobile Group Recommender System for Tourism with Intelligent Agents and Gamification

5. ActressMAS, a .NET Multi-Agent Framework Inspired by the Actor Model

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