Daniel Valcarce Silva  

(PC-PD)

Department Computer Science
Knowledgment area Computational Science and Artificial Intelligence
Research  Research group Information Retrieval Lab
Research lines Recuperación de Información, Sistemas de Recomendación, Aprendizaje Máquina
Keywords Recuperación de Información, Computación, Informática
Contacto UDC directory
Orcid id0000-0001-7543-9964 ResearcherIDB-8797-2015 Scopus56568253700

Teaching

Subjects taught

This section shows the teaching given in degrees, masters and other officers studies in last 6 years.

Subject and involved studies Total hours
Development Tools 30
Final Project. Mention in Computer Science 4
Operating Systems 30
Subject and involved studies Total hours
Development Tools
Degree in Computer Engineering
30
Operating Systems
Degree in Computer Engineering
30
Subject and involved studies Total hours
Information Retrieval
Degree in Computer Engineering
42
Information Retrieval and the Semantic Web
Master's in Computer Engineering
15
Operating Systems
Degree in Computer Engineering
3

Defined tutoring by teacher for 2017/2018 academic course.

Faculty of Computer Science

Quarter Day Site
1st quarter Monday
10:30 a 12:30
Lab 4.2
1st quarter Tuesday
10:30 a 12:30
Lab 4.2
1st quarter Tuesday
16:00 a 18:00
Lab 4.2
2nd quarter Monday
10:30 a 12:30
Lab 4.2
2nd quarter Tuesday
16:00 a 18:00
Lab 4.2
2nd quarter Tuesday
10:30 a 12:30
Lab 4.2
2nd chance Monday
10:30 a 12:30
Lab 4.2
2nd chance Tuesday
10:30 a 12:30
Lab 4.2
2nd chance Tuesday
16:00 a 18:00
Lab 4.2

EOG works and final master thesis directed

Directed or codirected by current teacher since 2013 year.

Generation of vector representations of items (item embeddings) for use in collaborative filtering.
Incremental recommendation techniques based on matrix factorization

Research results

Select merit type and year to query research merits.

FilmYou: Recomendación Distribuida de Películas

Type Software Registrado
Entity
Authors Álvaro Barreiro García, Javier Parapar, Daniel Valcarce Silva
Application date 12/08/2015
Approval date 12/08/2015

Item-based relevance modelling of recommendations for getting rid of long tail products

Authors Daniel Valcarce, Javier Parapar, Alvaro Barreiro
Journal Knowledge-Based Systems Vol. 103 (pages 41 to 51)
DOI https://doi.org/10.1016/j.knosys.2016.03.021

A Distributed Recommendation Platform for Big Data

Authors Daniel Valcarce, Javier Parapar, Alvaro Barreiro
Journal JOURNAL OF UNIVERSAL COMPUTER SCIENCE Vol. 21 Num. 13 (pages 1810 to 1829)
DOI https://doi.org/10.3217/jucs-021-13-1810

Language Models for Collaborative Filtering Neighbourhoods
38th European Conference on IR Research (ECIR 2016)
International

Authors Daniel Valcarce, Javier Parapar, Alvaro Barreiro
Place Padua (Italia)
DOI https://doi.org/10.1007/978-3-319-30671-1_45

Efficient Pseudo-Relevance Feedback Methods for Collaborative Filtering Recommendation
38th European Conference on IR Research (ECIR 2016)
International

Authors Daniel Valcarce, Javier Parapar, Alvaro Barreiro
Place Padua (Italia)
DOI https://doi.org/10.1007/978-3-319-30671-1_44

Additive Smoothing for Relevance-Based Language Modelling of Recommender Systems
Congreso Español de Recuperación de Información (CERI'16)
International

Authors Daniel Valcarce, Javier Parapar, Alvaro Barreiro
Organization UNIVERSIDAD DE GRANADA
Place Granada (España)
DOI https://doi.org/10.1145/2934732.2934737

Computing Neighbourhoods with Language Models in a Collaborative Filtering Scenario
7th Italian Information Retrieval Workshop (IIR 2017)
International

Authors Daniel Valcarce, Javier Parapar, Alvaro Barreiro
Place Venezia (Italia)

A Study of Smoothing Methods for Relevance-Based Language Modelling of Recommender Systems
37th European Conference on Information Retrieval (ECIR 2015)
International

Authors Daniel Valcarce, Javier Parapar, Álvaro Barreiro García
Place Vienna (Austria)

A Study of Priors for Relevance-Based Language Modelling of Recommender Systems
9th ACM Conference on Recommender Systems (RecSys 2015)
International

Authors Daniel Valcarce, Javier Parapar, Alvaro Barreiro
Place Vienna (Austria)
DOI https://doi.org/10.1145/2792838.2799677

Exploring Statistical Language Models for Recommender Systems
9th ACM Conference on Recommender Systems (RecSys 2015)
International

Authors Daniel Valcarce
Place Vienna (Austria)
DOI https://doi.org/10.1145/2792838.2796547

When Recommenders Met Big Data: an Architectural Proposal and Evaluation
III Congreso Español de Recuperación de la Información (CERI 2014)
International

Authors Daniel Valcarce, Javier Parapar, Alvaro Barreiro
Organization Sociedad Española de Recuperación de Información
Place Coruña, A (España)