M
Marta Rey-López
Researcher at Xunta de Galicia
Publications - 8
Citations - 506
Marta Rey-López is an academic researcher from Xunta de Galicia. The author has contributed to research in topics: Recommender system & Information overload. The author has an hindex of 5, co-authored 8 publications receiving 470 citations.
Papers
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Journal ArticleDOI
A hybrid content-based and item-based collaborative filtering approach to recommend TV programs enhanced with singular value decomposition
Ana Belen Barragans-Martinez,Enrique Costa-Montenegro,Juan C. Burguillo,Marta Rey-López,Fernando A. Mikic-Fonte,Ana Peleteiro +5 more
TL;DR: The proposed hybrid approach (which combines content-filtering techniques with those based on collaborative filtering) also provides all typical advantages of any social network, such as supporting communication among users as well as allowing users to add and tag contents, rate and comment the items, etc.
Journal ArticleDOI
Which App? A recommender system of applications in markets
TL;DR: An integrated solution which recommends to the users applications by considering a big amount of information: that is, according to their previously consumed applications, use pattern, tags used to annotate resources and history of ratings is presented.
Proceedings ArticleDOI
moreTourism: Mobile recommendations for tourism
Marta Rey-López,Ana Belen Barragans-Martinez,Ana Peleteiro,Fernando A. Mikic-Fonte,Juan C. Burguillo +4 more
TL;DR: In this paper, the authors introduce a hybrid recommendation platform providing information about tourist resources depending on the user profile, location, schedule and the amount of time for visiting interest points isolated or combined in a route.
Journal ArticleDOI
Exploiting Social Tagging in a Web 2.0 Recommender System
Ana Belen Barragans-Martinez,Marta Rey-López,Enrique Costa Montenegro,Fernando A. Mikic-Fonte,Juan C. Burguillo,Ana Peleteiro +5 more
TL;DR: A novel tag-based recommender is presented to enhance the recommending engine by improving the coverage and diversity of the suggestions by using information obtained from social tagging to improve the recommendations.
Proceedings ArticleDOI
Which App? A recommender system of applications in markets by monitoring users' interaction
Enrique Costa-Montenegro,Ana Belen Barragans-Martinez,Marta Rey-López,Fernando A. Mikic-Fonte,Ana Peleteiro-Ramallo +4 more
TL;DR: An integrated solution is presented which recommends applications according to their previously consumed applications, use pattern, and history of ratings to address the information overload problem when downloading applications in markets.