Diego Sánchez-Moreno

Orcid: 0000-0003-0682-6594

According to our database1, Diego Sánchez-Moreno authored at least 15 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Social Network Community Detection to Deal with Gray-Sheep and Cold-Start Problems in Music Recommender Systems.
Inf., March, 2024

2021
Dynamic inference of user context through social tag embedding for music recommendation.
CoRR, 2021

Song Recommender System Based on Emotional Aspects and Social Relations.
Proceedings of the Distributed Computing and Artificial Intelligence, 2021

2020
Exploiting the User Social Context to Address Neighborhood Bias in Collaborative Filtering Music Recommender Systems.
Inf., 2020

Time-Aware Music Recommender Systems: Modeling the Evolution of Implicit User Preferences and User Listening Habits in A Collaborative Filtering Approach.
CoRR, 2020

A Session-Based Song Recommendation Approach Involving User Characterization along the Play Power-Law Distribution.
Complex., 2020

Using Social Tag Embedding in a Collaborative Filtering Approach for Recommender Systems.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

2018
Incorporating Time Dynamics and Implicit Feedback into Music Recommender Systems.
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

Inferring User Expertise from Social Tagging in Music Recommender Systems for Streaming Services.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

Moodsically. Personal Music Management Tool with Automatic Classification of Emotions.
Proceedings of the Distributed Computing and Artificial Intelligence, 2018

Social Influence-Based Similarity Measures for User-User Collaborative Filtering Applied to Music Recommendation.
Proceedings of the Distributed Computing and Artificial Intelligence, 2018

Estimated Rating Based on Hours Played for Video Game Recommendation.
Proceedings of the Distributed Computing and Artificial Intelligence, 2018

2017
Recommendation of Songs in Music Streaming Services: Dealing with Sparsity and Gray Sheep Problems.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017

2016
A collaborative filtering method for music recommendation using playing coefficients for artists and users.
Expert Syst. Appl., 2016

2013
TV-SeriesRec: A Recommender System Based on Fuzzy Associative Classification and Semantic Information.
Proceedings of the Trends in Practical Applications of Agents and Multiagent Systems, 2013


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