Author image not provided
 Vreixo Formoso

Add personal information
  Affiliation history
Bibliometrics: publication history
Average citations per article11.38
Citation Count91
Publication count8
Publication years2009-2015
Available for download5
Average downloads per article1,062.80
Downloads (cumulative)5,314
Downloads (12 Months)307
Downloads (6 Weeks)41
Arrow RightAuthor only

See all colleagues of this author

See all subject areas


8 results found Export Results: bibtexendnoteacmrefcsv

Result 1 – 8 of 8
Sort by:

July 2015 World Wide Web: Volume 18 Issue 4, July 2015
Publisher: Kluwer Academic Publishers
Citation Count: 2

Collaborative filtering is one of the most popular recommendation techniques. While the quality of the recommendations has been significantly improved in the last years, most approaches present poor efficiency and scalability. In this paper, we study several factors that affect the performance of a k-Nearest Neighbors algorithm, and we propose ...
Keywords: Recommender systems, collaborative filtering, distributed systems, performance, simulation

December 2013 Information Retrieval: Volume 16 Issue 6, December 2013
Publisher: Kluwer Academic Publishers
Citation Count: 1

Collaborative filtering is a popular recommendation technique. Although researchers have focused on the accuracy of the recommendations, real applications also need efficient algorithms. An index structure can be used to store the rating matrix and compute recommendations very fast. In this paper we study how compression techniques can reduce the ...
Keywords: Collaborative filtering, Recommender systems, Identifier assignment, Rating matrix compression

May 2013 Information Processing and Management: an International Journal: Volume 49 Issue 3, May, 2013
Publisher: Pergamon Press, Inc.
Citation Count: 6

Collaborative Filtering techniques have become very popular in the last years as an effective method to provide personalized recommendations. They generally obtain much better accuracy than other techniques such as content-based filtering, because they are based on the opinions of users with tastes or interests similar to the user they ...
Keywords: Profile expansion, Cold-start, Collaborative Filtering

4 published by ACM
October 2011 CIKM '11: Proceedings of the 20th ACM international conference on Information and knowledge management
Publisher: ACM
Citation Count: 0
Downloads (6 Weeks): 5,   Downloads (12 Months): 14,   Downloads (Overall): 227

Full text available: PDFPDF
In the last years, recommender systems have achieved a great popularity. Many different techniques have been developed and applied to this field. However, in many cases the algorithms do not obtain the expected results. In particular, when the applied model does not fit the real data the results are especially ...
Keywords: collaborative filtering, dataset analysis, nearest neighbors

5 published by ACM
February 2011 ACM Transactions on the Web (TWEB): Volume 5 Issue 1, February 2011
Publisher: ACM
Citation Count: 66
Downloads (6 Weeks): 30,   Downloads (12 Months): 271,   Downloads (Overall): 4,063

Full text available: PDFPDF
The technique of collaborative filtering is especially successful in generating personalized recommendations. More than a decade of research has resulted in numerous algorithms, although no comparison of the different strategies has been made. In fact, a universally accepted way of evaluating a collaborative filtering algorithm does not exist yet. In ...
Keywords: Collaborative filtering, recommender systems

6 published by ACM
October 2009 RecSys '09: Proceedings of the third ACM conference on Recommender systems
Publisher: ACM
Citation Count: 12
Downloads (6 Weeks): 2,   Downloads (12 Months): 9,   Downloads (Overall): 521

Full text available: PDFPDF
The recommendation of queries, known as query suggestion, is a common practice on major Web Search Engines. It aims to help users to find the information they are looking for, and is usually based on the knowledge learned from past interactions with the search engine. In this paper we propose ...
Keywords: evaluation, query suggestion model, search shortcut, collaborative filtering

7 published by ACM
April 2009 WWW '09: Proceedings of the 18th international conference on World wide web
Publisher: ACM
Citation Count: 2
Downloads (6 Weeks): 2,   Downloads (12 Months): 9,   Downloads (Overall): 203

Full text available: PDFPDF
Giving suggestions to users of Web-based services is a common practice aimed at enhancing their navigation experience. Major Web Search Engines usually provide "Suggestions" under the form of queries that are, to some extent, related to the current query typed by the user, and the knowledge learned from the past ...
Keywords: evaluation, model, search shortcut

8 published by ACM
February 2009 WSCD '09: Proceedings of the 2009 workshop on Web Search Click Data
Publisher: ACM
Citation Count: 1
Downloads (6 Weeks): 1,   Downloads (12 Months): 5,   Downloads (Overall): 278

Full text available: PDFPDF
Major Web Search Engines take as a common practice to provide Suggestions to users in order to enhance their search experience. Such suggestions have normally the form of queries that are, to some extent, "similar" to the queries already submitted by the same or related users. The final aim of ...
Keywords: evaluation, model, search shortcut

The ACM Digital Library is published by the Association for Computing Machinery. Copyright © 2018 ACM, Inc.
Terms of Usage   Privacy Policy   Code of Ethics   Contact Us