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ORCIDHetRec@RecSys 2010: Barcelona, Spain
- Peter Brusilovsky, Iván Cantador, Yehuda Koren, Tsvi Kuflik, Markus Weimer:
Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems, HetRec '10, Barcelona, Spain, September 26, 2010. ACM 2010, ISBN 978-1-4503-0407-8 - Alejandro Bellogín
, Iván Cantador, Pablo Castells:
A study of heterogeneity in recommendations for a social music service. 1-8 - Francesca Carmagnola, Francesco Osborne, Ilaria Torre:
User data distributed on the social web: how to identify users on different social systems and collecting data about them. 9-15 - Benjamin Heitmann, James G. Boram Kim, Alexandre Passant, Conor Hayes, Hong-Gee Kim:
An architecture for privacy-enabled user profile portability on the web of data. 16-23 - Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Marco de Gemmis, Pierpaolo Basile, Giovanni Semeraro:
MARS: a MultilAnguage Recommender System. 24-31 - Shaghayegh Sahebi, Chirayu Wongchokprasitti, Peter Brusilovsky:
Recommending research colloquia: a study of several sources for user profiling. 32-38 - Ahu Sieg, Bamshad Mobasher, Robin Burke:
Improving the effectiveness of collaborative recommendation with ontology-based user profiles. 39-46 - Gawesh Jawaheer, Martin Szomszor, Patty Kostkova:
Comparison of implicit and explicit feedback from an online music recommendation service. 47-51 - Atsuhiro Takasu:
Cross-lingual keyword recommendation using latent topics. 52-56 - Abdulbaki Uzun, Christian Räck, Fabian Steinert:
Targeting more relevant, contextual recommendations by exploiting domain knowledge. 57-62 - Jon Imanol Durán, Juhani Laitakari, Daniel Pakkala, Juho Perälä:
A user meta-model for context-aware recommender systems. 63-66 - Luis Martínez Marina, Juan Antonio Calles García, Estefanía Martín-Barroso:
Ontology-based web service to recommend spare time activities. 67-70 - Kenta Oku, Rika Kotera, Kazutoshi Sumiya:
Geographical recommender system based on interaction between map operation and category selection. 71-74
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