Daniel Valcarce

PhD Student

About me

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Daniel Valcarce

PhD Student

I am a PhD Student at the Department of Computer Science of the University of A Coruña, where I am a member of the Information Retrieval Lab.

My research interests cover information retrieval, recommender systems and machine learning. I am working on developing recommendation techniques studying different approaches, not only focusing on accuracy but also in diversity, novelty, scalability... My main line of research consists in applying probabilistic models from Information Retrieval to the recommendation task.

I am working on my PhD Thesis under the supervision of Prof. Álvaro Barreiro and Dr. Javier Parapar.

My resume

Experience

2015 - now

PhD Fellow (FPU programme)

from September 2015 to present day

At the Department of Computer Science of the University of A Coruña

I received a competitive grant from the Spanish Government (Ministerio de Eduación). This fellowship funds the development of a PhD thesis during a maximum of four years. The criteria followed in the granting were the quality of the PhD project, the CV of the applicant and the work of his research group.

2016

Research Visitor

from April 2016 to June 2016

At the HPC Lab from ISTI-CNR in Pisa, Italy

I spent three months working at the High Performance Computing Lab under the supervision of Dr. Raffaele Perego. The HPC Lab is part of the Istituto di Scienza e Tecnologie dell’Informazione “A. Faedo” (ISTI), the largest institute of the Consiglio Nazionale delle Ricerche (CNR) involved in ICT Research. My stay was funded by a competitive grant from the Spanish Government (Ministerio de Educación, Cultura y Deporte) for FPU fellows. I worked on applying Information Retrieval techniques to Recommender Systems.

2015 - 2015

PhD Fellow (I2C programme)

from April 2015 to September 2015

At the Department of Computer Science of the University of A Coruña

I received a competitive grant from the Galician Government (Consellería de Educación). This fellowship funds the development of a PhD thesis during a maximum of three years. The criteria followed in the granting were the quality of the PhD project and the academic record.

2014 - 2015

Research Assistant

from April 2014 to April 2015

At the Information Retrieval Lab of the University of A Coruña

I was hired by the IRLab as a researcher to work on distributed recommender systems for big data environments using MapReduce and NoSQL paradigms. I also focused on studying and improving accuracy, diversity and novelty of different approaches to recommendation.

2013 - 2014

Collaboration Fellowship

from November 2013 to July 2014

At the Department of Computer Science of the University of A Coruña

This is a competitive grant from the Spanish Government (Ministerio de Educación) for outstanding students that are interested in pursuing an academic career in the last year of their degrees.

I developed a distributed recommender platform and implemented several collaborative filtering algorithms using Hadoop and Cassandra. I also worked on scalable web applications using Django, Lucene and caching technologies such as Memcached and Varnish.

Education

2014 - now

PhD Student in Computer Science

from November 2014 to present day

At the University of A Coruña (Spain)

Under the supervision of Prof. Álvaro Barreiro and Dr. Javier Parapar .

2009 - 2014

Degree in Computer Science Engineering

from 2009 to 2014

At the University of A Coruña (Spain)

This degree is structured as a five-year programme plus a final project (300 ECTS, BSc + MSc).

Mark: 9.32/10 (with honours)


Final project: Distributed Platform For Movie Recommendation

A distributed recommender platform capable of making personalised recommendations using collaborative filtering techniques in a big data environment.

Mark: 10/10 (with honours)


Outstanding Graduate Award, University of A Coruña

This valedictorian distinction was given by the University of A Coruña to the students, one for each degree, with the best marks among all the graduates that finished their studies in 2014 at the University of A Coruña.

Outstanding Graduate Award, Xunta de Galicia

This valedictorian distinction was given by the Xunta de Galicia to the students, one for each degree, with the best marks among all the graduates that finished their studies in 2014 in the Galicia region.

2007 - 2009

International Baccalaureate

from 2007 to 2009

At Colegio Obradoiro (A Coruña, Spain)

The International Baccalaureate Diploma Program is a programme of education with final examinations that prepares students, aged 16 to 19, for success at university. It involves studying courses from 6 subject groups. In my case, I chose the following ones:

  • Higher level: Mathematics, Philosophy, English B.
  • Standard level: Physics, Biology, Spanish A.

High School Academic Excellence Award, University of A Coruña

This distinction was given by the University of A Coruña to the students, one for each degree, with the best marks in high school in 2009.


High School Academic Excellence Award, Xunta de Galicia

This distinction was given by the the Galician Government to the best high school students in the Galicia region in 2009.

Publications

Daniel Valcarce, Javier Parapar, Álvaro Barreiro. Additive Smoothing for Relevance-Based Language Modelling of Recommender Systems. Proceedings of the 4th Spanish Conference on Information Retrieval, CERI 2016, Article 9, Granada, Spain, 14 - 16 June, 2016. DOI 10.1145/2934732.2934737 Slides Best Student Paper
Daniel Valcarce, Javier Parapar, Álvaro Barreiro. Computing Neighbourhoods with Language Models in a Collaborative Filtering Scenario. Proceedings of the 7th Italian Information Retrieval Workshop, IIR 2016, Venice, Italy, 30 - 31 May, 2016. Original at CEUR-WS Slides
Daniel Valcarce, Javier Parapar, Álvaro Barreiro. Item-Based Relevance Modelling of Recommendations for Getting Rid of Long Tail Products. Knowledge-Based Systems, vol. 103, pp. 41-51, 2016. DOI 10.1016/j.knosys.2016.03.021
Daniel Valcarce, Javier Parapar, Álvaro Barreiro. Efficient Pseudo-Relevance Feedback Methods for Collaborative Filtering Recommendation. Proceedings of the 38th European Conference on Information Retrieval, ECIR 2016, pp. 602-613, Padua, Italy, 20 - 23 March, 2016. DOI 10.1007/978-3-319-30671-1_44 Slides
Daniel Valcarce, Javier Parapar, Álvaro Barreiro. Language Models for Collaborative Filtering Neighbourhoods. Proceedings of the 38th European Conference on Information Retrieval, ECIR 2016, pp. 614-625, Padua, Italy, 20 - 23 March, 2016. DOI 10.1007/978-3-319-30671-1_45 Slides
Daniel Valcarce, Javier Parapar, Álvaro Barreiro. A Distributed Recommendation Platform for Big Data. Journal of Universal Computer Science, vol. 21(13), pp. 1810-1829, 2015. DOI 10.3217/jucs-021-13-1810
Daniel Valcarce. Exploring Statistical Language Models for Recommender Systems. Proceedings of the 9th ACM Conference on Recommender Systems, RecSys 2015, pp. 375-378, Vienna, Austria, 16 - 20 September, 2015. DOI 10.1145/2792838.2796547 Slides Poster
Daniel Valcarce, Javier Parapar, Álvaro Barreiro. A Study of Priors for Relevance-Based Language Modelling of Recommender Systems. Proceedings of the 9th ACM Conference on Recommender Systems, RecSys 2015, pp. 237-240, Vienna, Austria, 16 - 20 September, 2015. DOI 10.1145/2792838.2799677 Poster
Daniel Valcarce, Javier Parapar, Álvaro Barreiro. A Study of Smoothing Methods for Relevance-Based Language Modelling of Recommender Systems. Proceedings of the 37th European Conference on Information Retrieval, ECIR 2015, pp. 346-351, Vienna, Austria, 29 March - 2 April, 2015. DOI 10.1007/978-3-319-16354-3_38 Poster
Daniel Valcarce, Javier Parapar, Álvaro Barreiro. When Recommenders Met Big Data: an Architectural Proposal and Evaluation. Proceedings of the 3rd Spanish Conference on Information Retrieval, CERI 2014, pp. 73-84, A Coruña, Spain, 19 - 20 June, 2014. ISBN 978-84-9749-591-2 Slides

Contact with me

LET'S GET IN TOUCH

  • daniel [DOT] valcarce [AT] udc [DOT] es

  • +34 881 01 1276

  • Facultad de Informática
    Campus de Elviña s/n
    15071 A Coruña (Spain)