Álvaro Tejeda-Lorente

Orcid: 0000-0002-3334-7989

Affiliations:
  • University of Granada, Department of Computer Science and Artificial Intelligence


According to our database1, Álvaro Tejeda-Lorente authored at least 31 papers between 2011 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
Introducing CSP Dataset: A Dataset Optimized for the Study of the Cold Start Problem in Recommender Systems.
Inf., January, 2023

2020
A context-aware embeddings supported method to extract a fuzzy sentiment polarity dictionary.
Knowl. Based Syst., 2020

New technique to alleviate the cold start problem in recommender systems using information from social media and random decision forests.
Inf. Sci., 2020

Trust Based Fuzzy Linguistic Recommender Systems as Reinforcement for Personalized Education in the Field of Oral Surgery and Implantology.
Int. J. Comput. Commun. Control, 2020

2019
A risk-aware fuzzy linguistic knowledge-based recommender system for hedge funds.
Proceedings of the 7th International Conference on Information Technology and Quantitative Management, 2019

Web platform for learning distributed databases' queries processing.
Proceedings of the 7th International Conference on Information Technology and Quantitative Management, 2019

An automatic skills standardization method based on subject expert knowledge extraction and semantic matching.
Proceedings of the 7th International Conference on Information Technology and Quantitative Management, 2019

2018
Quantifying the emotional impact of events on locations with social media.
Knowl. Based Syst., 2018

Leveraging Localized Social Media Insights for Industry Early Warning Systems.
Int. J. Inf. Technol. Decis. Mak., 2018

Adapting Recommender Systems to the New Data Privacy Regulations.
Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2018

Using Information Extracted from Microblogs in Order to Palliate the Cold Start Problem in Recommender Systems.
Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2018

An Embeddings Based Fuzzy Linguistics Supported Model to Measure the Contextual Bias in Sentiment Polarity.
Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2018

2017
Fuzzy Linguistic Recommender Systems for the Selective Diffusion of Information in Digital Libraries.
J. Inf. Process. Syst., 2017

A Holistic Domain Knowledge Discovery and Recommendation System for Collaborative Wikis.
Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2017

Using Bibliometrics and Fuzzy Linguistic Modeling to Deal with Cold Start in Recommender Systems for Digital Libraries.
Proceedings of the Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT-2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'2017, 2017

Analysis of Different Proposals to Improve the Dissemination of Information in University Digital Libraries.
Proceedings of the Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT-2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'2017, 2017

A Fuzzy Linguistics Supported Model to Measure the Contextual Bias in Sentiment Polarity.
Proceedings of the Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT-2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'2017, 2017

2015
CARESOME: A system to enrich marketing customers acquisition and retention campaigns using social media information.
Knowl. Based Syst., 2015

A new model to quantify the impact of a topic in a location over time with Social Media.
Expert Syst. Appl., 2015

REFORE: A recommender system for researchers based on bibliometrics.
Appl. Soft Comput., 2015

A Dynamic Recommender System as Reinforcement for Personalized Education by a Fuzzly Linguistic Web System.
Proceedings of the Third International Conference on Information Technology and Quantitative Management, 2015

Integrating Ontologies and Fuzzy Logic to Represent User-Trustworthiness in Recommender Systems.
Proceedings of the Third International Conference on Information Technology and Quantitative Management, 2015

Emotional Profiling of Locations Based on Social Media.
Proceedings of the Third International Conference on Information Technology and Quantitative Management, 2015

Recommending scientific papers through a method based on bibliometric measures.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

2014
TPLUFIB-WEB: A fuzzy linguistic Web system to help in the treatment of low back pain problems.
Knowl. Based Syst., 2014

A quality based recommender system to disseminate information in a university digital library.
Inf. Sci., 2014

Aiding in the Treatment of Low Back Pain by a Fuzzy Linguistic Web System.
Proceedings of the Rough Sets and Current Trends in Computing, 2014

Integrating Quality Criteria in a Fuzzy Linguistic Recommender System for Digital Libraries.
Proceedings of the Second International Conference on Information Technology and Quantitative Management, 2014

Leveraging Localized Social Media Insights for Early Warning Systems.
Proceedings of the Second International Conference on Information Technology and Quantitative Management, 2014

2012
A hybrid recommender system for the selective dissemination of research resources in a Technology Transfer Office.
Inf. Sci., 2012

2011
Using memory to reduce the information overload in a university digital library.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011


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