Collaborative Filtering for Mobile Application Recommendation with Implicit Feedback-Reference-Cited by-同舟云学术

Collaborative Filtering for Mobile Application Recommendation with Implicit Feedback

Published:2022-06-19 Issue: Volume: Page:
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Container-title:2022 IEEE 28th International Conference on Engineering, Technology and Innovation (ICE/ITMC) & 31st International Association For Management of Technology (IAMOT) Joint Conference
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Author:

Paula Beatriz¹,Coelho Joao¹,Mano Diogo²,Coutinho Carlos³,Oliveira Joao⁴,Ribeiro Ricardo⁵,Batista Fernando⁵^ORCID

Affiliation:

1. Instituto Superior Técnico,Caixa Mágica Software,Lisbon,Portugal

2. Faculdade de Ciencias,Caixa Magica Software,Lisbon,Portugal

3. Iscte - Instituto Universitário de Lisboa Information Sciences, Technologies and Architecture Research Center (ISTAR-IUL),Caixa Mágica Software,Lisbon,Portugal

4. Iscte - Instituto Universitário de Lisboa Information Sciences, Technologies and Architecture Research Center (ISTAR-IUL) Instituto de Telecomunicações (IT),Lisbon,Portugal

5. Iscte - Instituto Universitário de Lisboa and INESC-ID,Lisbon,Portugal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10032842/10033129/10033307.pdf?arnumber=10033307

Reference42 articles.

1. User perception of differences in recommender algorithms

2. Factor in the neighbors

3. Item-based collaborative filtering recommendation algorithms

4. An efficient non-negative matrix- factorization-based approach to collaborative filtering for recommender systems;luo;IEEE Trans Ind Informatics,2014

5. Matrix Factorization Techniques for Recommender Systems

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