Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Marta Rey-López"'
Publikováno v:
Expert Systems with Applications. 39:9367-9375
Highlights? We propose a recommender system of applications in Markets. ? It uses five recommendations techniques, more than similar actual recommenders. ? The main input for the recommender is the actual usage of each application made by each user.
Autor:
Ana Peleteiro, Marta Rey-López, Enrique Costa-Montenegro, Juan C. Burguillo, Ana Belen Barragans-Martinez, Fernando A. Mikic-Fonte
Publikováno v:
Information Sciences. 180:4290-4311
With the advent of new cable and satellite services, and the next generation of digital TV systems, people are faced with an unprecedented level of program choice. This often means that viewers receive much more information than they can actually man
Autor:
Marta Rey-López, Enrique Costa Montenegro, Ana Peleteiro, Ana Belen Barragans-Martinez, Fernando A. Mikic-Fonte, Juan C. Burguillo
Publikováno v:
IEEE Internet Computing. 14:23-30
Recommender systems help users cope with information overload by using their preferences to recommend items. To date, most recommenders have employed users' ratings, information about the user's profile, or metadata describing the items. To take adva
Autor:
Ana Fernández-Vilas, Manuel Ramos-Cabrer, Marta Rey-López, Martín López-Nores, Alberto Gil-Solla, José J. Pazos-Arias, Jorge García-Duque, Rebeca P. Díaz-Redondo
Publikováno v:
Expert Systems with Applications. 37:1124-1133
Interactive Digital TV offers a large amount of TV channels, as well as new contents that come along with the TV programmes. To take advantage of these additional contents and make them easily available to viewers, this paper proposes to offer additi
Autor:
José J. Pazos Arias, Manuel Ramos Cabrer, Alberto Gil Solla, Jorge García Duque, Ana Fernández Vilas, Rebeca P. Díaz Redondo, Marta Rey-López
Publikováno v:
Multimedia Tools and Applications. 53:151-179
In this paper we introduce our experiences in applying the Web 2.0 philosophy to build a TV guide system for Interactive Digital TV (IDTV) platforms. Subscribers give their opinion about TV content and, informally, a folksonomy is progressively built
Autor:
Martín López-Nores, Manuel Ramos-Cabrer, Alberto Gil-Solla, José J. Pazos-Arias, Jorge García-Duque, Yolanda Blanco-Fernández, Rebeca P. Díaz-Redondo, Ana Fernández-Vilas, Marta Rey-López
Publikováno v:
Expert Systems with Applications. 36:4192-4197
The development of the Interactive Digital TV technologies has the potential to open new possibilities for e-commerce, linked to the broadcasting of audiovisual contents. To cater for the advertising needs, the early initiatives are resorting to the
Autor:
José J. Pazos-Arias, Alberto Gil-Solla, Marta Rey-López, Jorge García-Duque, Manuel Ramos-Cabrer, Rebeca P. Díaz-Redondo, Ana Fernández-Vilas
Publikováno v:
Computer Standards & Interfaces. 31:309-318
Current e-learning standards have been designed to provide reusability and interoperability. Besides these features, content personalisation is also necessary, although current standards do not fully support it. In this paper, we study the adaptation
Autor:
Martín López-Nores, José J. Pazos-Arias, Jorge García-Duque, Rebeca P. Díaz-Redondo, Ana Fernández-Vilas, Alberto Gil-Solla, Manuel Ramos-Cabrer, Marta Rey-López
Publikováno v:
Multimedia Tools and Applications. 40:409-451
Interactive Digital TV opens new learning possibilities where new forms of education are needed. On the one hand, the combination of education and entertainment is essential to boost the participation of viewers in TV learning (t-learning), overcomin
Publikováno v:
Computer Science, Vol 13, Iss 2, p 123 (2012)
Nowadays, it is common to find on the Internet different conversational robots which interact with users simulating a natural language conversation. Among them, we can emphasize the chatterbots based on AIML language. In this paper we present an AI
Autor:
Marta Rey-López, Enrique Costa-Montenegro, Ana Peleteiro-Ramallo, Ana Belen Barragans-Martinez, Fernando A. Mikic-Fonte
Publikováno v:
2011 IEEE International Conference on Consumer Electronics (ICCE).
Users face the information overload problem when downloading applications in markets. To address this issue, we present an integrated solution which recommends applications according to their previously consumed applications, use pattern, and history