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ORCIDPablo Castells
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- affiliation: Autonomous University of Madrid, Spain
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2020 – today
- 2024
[c99]Yashar Deldjoo
, Julian J. McAuley, Scott Sanner, Pablo Castells, Shuai Zhang, Enrico Palumbo:
The 1st International Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommendation (ROEGEN). RecSys 2024: 1250-1252- [c98]Chenglong Ma, Yongli Ren, Pablo Castells, Mark Sanderson:
Temporal Conformity-aware Hawkes Graph Network for Recommendations. WWW 2024: 3185-3194 - [p8]Pablo Castells, Dietmar Jannach:
Recommender Systems. Information Retrieval: Advanced Topics and Techniques 2024: 49-109 - [e12]Tommaso Di Noia, Pasquale Lops, Thorsten Joachims, Katrien Verbert, Pablo Castells, Zhenhua Dong, Ben London:
Proceedings of the 18th ACM Conference on Recommender Systems, RecSys 2024, Bari, Italy, October 14-18, 2024. ACM 2024, ISBN 979-8-4007-0505-2 [contents] - 2023
- [j33]Maurizio Ferrari Dacrema, Pablo Castells, Justin Basilico, Paolo Cremonesi:
Report on the Workshop on Learning and Evaluating Recommendations with Impressions (LERI) at RecSys 2023. SIGIR Forum 57(2): 19:1-19:8 (2023) - [c97]Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Pablo Castells, Paolo Cremonesi:
Impressions in Recommender Systems: Present and Future. IIR 2023: 97-104 - [c96]Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Pablo Castells, Paolo Cremonesi:
Characterizing Impression-Aware Recommender Systems. LERI@RecSys 2023: 22-33 - [c95]Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Pablo Castells, Paolo Cremonesi:
Incorporating Impressions to Graph-Based Recommenders. LERI@RecSys 2023: 62-67 - [c94]Maurizio Ferrari Dacrema, Pablo Castells, Justin Basilico, Paolo Cremonesi:
Workshop on Learning and Evaluating Recommendations with Impressions (LERI). RecSys 2023: 1248-1251 - [e11]Maurizio Ferrari Dacrema, Pablo Castells, Justin Basilico, Paolo Cremonesi:
Proceedings of the Workshop on Learning and Evaluating Recommendations with Impressions co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, September 19th, 2023. CEUR Workshop Proceedings 3590, CEUR-WS.org 2023 [contents] - [i5]Pablo Castells, Dietmar Jannach:
Recommender Systems: A Primer. CoRR abs/2302.02579 (2023) - [i4]Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Pablo Castells, Paolo Cremonesi:
Impression-Aware Recommender Systems. CoRR abs/2308.07857 (2023) - 2022
- [j32]Pablo Castells, Alistair Moffat:
Offline Recommender System Evaluation: Challenges and New Directions. AI Mag. 43(2): 225-238 (2022) - [c93]Chenglong Ma, Yongli Ren, Pablo Castells, Mark Sanderson:
NEST: Simulating Pandemic-like Events for Collaborative Filtering by Modeling User Needs Evolution. CIKM 2022: 1430-1440 - [c92]Nan Bi, Pablo Castells, Daniel Gilbert, Slava Galperin, Patrick Tardif, Sachin Ahuja:
Debiased Balanced Interleaving at Amazon Search. CIKM 2022: 2913-2922 - [c91]Cuize Han, Pablo Castells, Parth Gupta, Xu Xu, Vamsi Salaka:
Addressing Cold Start in Product Search via Empirical Bayes. CIKM 2022: 3141-3151 - [c90]Xinyi Yan, Chengxi Luo, Charles L. A. Clarke, Nick Craswell, Ellen M. Voorhees, Pablo Castells:
Human Preferences as Dueling Bandits. SIGIR 2022: 567-577 - [c89]Chenglong Ma, Yongli Ren, Pablo Castells, Mark Sanderson:
Evaluation of Herd Behavior Caused by Population-scale Concept Drift in Collaborative Filtering. SIGIR 2022: 1984-1989 - [c88]Javier Sanz-Cruzado, Pablo Castells:
RELISON: A Framework for Link Recommendation in Social Networks. SIGIR 2022: 2992-3002 - [e10]Enrique Amigó, Pablo Castells, Julio Gonzalo, Ben Carterette, J. Shane Culpepper, Gabriella Kazai:
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022. ACM 2022, ISBN 978-1-4503-8732-3 [contents] - [r2]Pablo Castells, Neil Hurley, Saúl Vargas:
Novelty and Diversity in Recommender Systems. Recommender Systems Handbook 2022: 603-646 - [i3]Xinyi Yan, Chengxi Luo, Charles L. A. Clarke, Nick Craswell, Ellen M. Voorhees, Pablo Castells:
Human Preferences as Dueling Bandits. CoRR abs/2204.10362 (2022) - 2021
- [j31]Joemon M. Jose, Emine Yilmaz, João Magalhães, Pablo Castells:
Guest editorial: special issue on ECIR 2020. Inf. Retr. J. 24(1): 1-2 (2021) - [j30]Elisa Mena-Maldonado, Rocío Cañamares, Pablo Castells, Yongli Ren, Mark Sanderson:
Popularity Bias in False-positive Metrics for Recommender Systems Evaluation. ACM Trans. Inf. Syst. 39(3): 36:1-36:43 (2021) - [c87]Michael D. Ekstrand, Allison Chaney, Pablo Castells, Robin Burke, David Rohde, Manel Slokom:
SimuRec: Workshop on Synthetic Data and Simulation Methods for Recommender Systems Research. RecSys 2021: 803-805 - [e9]Fernando Diaz, Chirag Shah, Torsten Suel, Pablo Castells, Rosie Jones, Tetsuya Sakai:
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021. ACM 2021, ISBN 978-1-4503-8037-9 [contents] - 2020
- [j29]Javier Sanz-Cruzado, Pablo Castells, Craig Macdonald, Iadh Ounis:
Effective contact recommendation in social networks by adaptation of information retrieval models. Inf. Process. Manag. 57(5): 102285 (2020) - [j28]Rocío Cañamares, Pablo Castells, Alistair Moffat:
Offline evaluation options for recommender systems. Inf. Retr. J. 23(4): 387-410 (2020) - [j27]Daniel Valcarce, Alejandro Bellogín, Javier Parapar, Pablo Castells:
Assessing ranking metrics in top-N recommendation. Inf. Retr. J. 23(4): 411-448 (2020) - [c86]Javier Sanz-Cruzado, Pablo Castells:
Beyond Accuracy in Link Prediction. BIAS 2020: 79-94 - [c85]Javier Sanz-Cruzado, Craig Macdonald, Iadh Ounis, Pablo Castells:
Axiomatic Analysis of Contact Recommendation Methods in Social Networks: An IR Perspective. ECIR (1) 2020: 175-190 - [c84]Rocío Cañamares, Pablo Castells:
On Target Item Sampling in Offline Recommender System Evaluation. RecSys 2020: 259-268 - [c83]Elisa Mena-Maldonado, Rocío Cañamares, Pablo Castells, Yongli Ren, Mark Sanderson:
Agreement and Disagreement between True and False-Positive Metrics in Recommender Systems Evaluation. SIGIR 2020: 841-850 - [e8]Joemon M. Jose, Emine Yilmaz, João Magalhães, Pablo Castells, Nicola Ferro, Mário J. Silva, Flávio Martins:
Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12035, Springer 2020, ISBN 978-3-030-45438-8 [contents] - [e7]Joemon M. Jose, Emine Yilmaz, João Magalhães, Pablo Castells, Nicola Ferro, Mário J. Silva, Flávio Martins:
Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12036, Springer 2020, ISBN 978-3-030-45441-8 [contents]
2010 – 2019
- 2019
- [c82]Javier Sanz-Cruzado, Pablo Castells:
Information Retrieval Models for Contact Recommendation in Social Networks. ECIR (1) 2019: 148-163 - [c81]Javier Sanz-Cruzado, Pablo Castells, Esther López:
A simple multi-armed nearest-neighbor bandit for interactive recommendation. RecSys 2019: 358-362 - [c80]Rocío Cañamares, Marcos Redondo, Pablo Castells:
Multi-armed recommender system bandit ensembles. RecSys 2019: 432-436 - [i2]Derek G. Bridge, Mesut Kaya, Pablo Castells:
Sudden Death: A New Way to Compare Recommendation Diversification. CoRR abs/1908.00419 (2019) - 2018
- [j26]Nicola Ferro, Norbert Fuhr, Gregory Grefenstette, Joseph A. Konstan, Pablo Castells, Elizabeth M. Daly, Thierry Declerck, Michael D. Ekstrand, Werner Geyer, Julio Gonzalo, Tsvi Kuflik, Krister Lindén, Bernardo Magnini, Jian-Yun Nie, Raffaele Perego, Bracha Shapira, Ian Soboroff, Nava Tintarev, Karin Verspoor, Martijn C. Willemsen, Justin Zobel:
From Evaluating to Forecasting Performance: How to Turn Information Retrieval, Natural Language Processing and Recommender Systems into Predictive Sciences (Dagstuhl Perspectives Workshop 17442). Dagstuhl Manifestos 7(1): 96-139 (2018) - [j25]Nicola Ferro, Norbert Fuhr, Gregory Grefenstette, Joseph A. Konstan, Pablo Castells, Elizabeth M. Daly, Thierry Declerck, Michael D. Ekstrand, Werner Geyer, Julio Gonzalo, Tsvi Kuflik, Krister Lindén, Bernardo Magnini, Jian-Yun Nie, Raffaele Perego, Bracha Shapira, Ian Soboroff, Nava Tintarev, Karin Verspoor, Martijn C. Willemsen, Justin Zobel:
The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction. SIGIR Forum 52(1): 91-101 (2018) - [c79]Javier Sanz-Cruzado, Sofía M. Pepa, Pablo Castells:
Recommending Contacts in Social Networks Using Information Retrieval Models. CERI 2018: 19:1-19:8 - [c78]Javier Sanz-Cruzado, Pablo Castells:
Enhancing structural diversity in social networks by recommending weak ties. RecSys 2018: 233-241 - [c77]Daniel Valcarce, Alejandro Bellogín, Javier Parapar, Pablo Castells:
On the robustness and discriminative power of information retrieval metrics for top-N recommendation. RecSys 2018: 260-268 - [c76]Rocío Cañamares, Pablo Castells:
Should I Follow the Crowd?: A Probabilistic Analysis of the Effectiveness of Popularity in Recommender Systems. SIGIR 2018: 415-424 - [c75]Rocío Cañamares, Pablo Castells:
From the PRP to the Low Prior Discovery Recall Principle for Recommender Systems. SIGIR 2018: 1081-1084 - [c74]Javier Sanz-Cruzado, Sofía M. Pepa, Pablo Castells:
Structural Novelty and Diversity in Link Prediction. WWW (Companion Volume) 2018: 1347-1351 - [p7]Javier Sanz-Cruzado, Pablo Castells:
Contact Recommendations in Social Networks. Collaborative Recommendations 2018: 519-569 - 2017
- [j24]Alejandro Bellogín, Pablo Castells, Iván Cantador:
Statistical biases in Information Retrieval metrics for recommender systems. Inf. Retr. J. 20(6): 606-634 (2017) - [c73]Rocío Cañamares, Pablo Castells:
A Probabilistic Reformulation of Memory-Based Collaborative Filtering: Implications on Popularity Biases. SIGIR 2017: 215-224 - 2016
- [e6]Shilad Sen, Werner Geyer, Jill Freyne, Pablo Castells:
Proceedings of the 10th ACM Conference on Recommender Systems, Boston, MA, USA, September 15-19, 2016. ACM 2016, ISBN 978-1-4503-4035-9 [contents] - 2015
- [c72]Rodrygo L. T. Santos, Pablo Castells, Ismail Sengor Altingovde, Fazli Can:
Diversity and Novelty on the Web: Search, Recommendation, and Data Streaming Aspects. WWW (Companion Volume) 2015: 1529-1530 - [e5]Pablo Castells:
Poster Proceedings of the 9th ACM Conference on Recommender Systems, RecSys 2015, Vienna, Austria, September 16, 2015. CEUR Workshop Proceedings 1441, CEUR-WS.org 2015 [contents] - [r1]Pablo Castells, Neil J. Hurley, Saul Vargas:
Novelty and Diversity in Recommender Systems. Recommender Systems Handbook 2015: 881-918 - 2014
- [j23]Alejandro Bellogín, Pablo Castells, Alan Said, Domonkos Tikk:
Report on the workshop on reproducibility and replication in recommender systems evaluation (RepSys). SIGIR Forum 48(1): 29-35 (2014) - [j22]Pablo Castells, Jun Wang, Rubén Lara, Dell Zhang:
Introduction to the Special Issue on Diversity and Discovery in Recommender Systems. ACM Trans. Intell. Syst. Technol. 5(4): 52:1-52:3 (2014) - [j21]Alejandro Bellogín, Pablo Castells, Iván Cantador:
Neighbor Selection and Weighting in User-Based Collaborative Filtering: A Performance Prediction Approach. ACM Trans. Web 8(2): 12:1-12:30 (2014) - [c71]Rocío Cañamares, Pablo Castells:
Exploring Social Network Effects on Popularity Biases in Recommender Systems. RSWeb@RecSys 2014 - [c70]Saul Vargas, Pablo Castells:
Improving sales diversity by recommending users to items. RecSys 2014: 145-152 - [c69]Saúl Vargas, Linas Baltrunas, Alexandros Karatzoglou, Pablo Castells:
Coverage, redundancy and size-awareness in genre diversity for recommender systems. RecSys 2014: 209-216 - [c68]Panagiotis Adamopoulos, Alejandro Bellogín, Pablo Castells, Paolo Cremonesi, Harald Steck:
REDD 2014 - international workshop on recommender systems evaluation: dimensions and design. RecSys 2014: 393-394 - [c67]Rodrygo L. T. Santos, Pablo Castells, Ismail Sengör Altingövde, Fazli Can:
Diversity and novelty in web search, recommender systems and data streams. WSDM 2014: 679-680 - 2013
- [j20]Juan M. Fernández-Luna, Juan F. Huete, Pablo Castells:
Personalization and Recommendation in Information Access. Inf. Process. Manag. 49(3): 637-639 (2013) - [j19]Javier Parapar, Alejandro Bellogín, Pablo Castells, Alvaro Barreiro:
Relevance-based language modelling for recommender systems. Inf. Process. Manag. 49(4): 966-980 (2013) - [j18]Alejandro Bellogín, Jun Wang, Pablo Castells:
Bridging memory-based collaborative filtering and text retrieval. Inf. Retr. 16(6): 697-724 (2013) - [j17]Alejandro Bellogín, Iván Cantador, Pablo Castells:
A comparative study of heterogeneous item recommendations in social systems. Inf. Sci. 221: 142-169 (2013) - [j16]Pablo Castells, Frank Hopfgartner, Alan Said, Mounia Lalmas:
Report on the SIGIR 2013 workshop on benchmarking adaptive retrieval and recommender systems. SIGIR Forum 47(2): 64-67 (2013) - [j15]Alejandro Bellogín, Iván Cantador, Fernando Díez, Pablo Castells, Enrique Chavarriaga:
An empirical comparison of social, collaborative filtering, and hybrid recommenders. ACM Trans. Intell. Syst. Technol. 4(1): 14:1-14:29 (2013) - [c66]Alejandro Bellogín, Iván Cantador, Pablo Castells, Fernando Díez:
Exploiting Social Networks in Recommendation: a Multi-Domain Comparison. DIR 2013: 40-41 - [c65]Alejandro Bellogín, Javier Parapar, Pablo Castells:
Probabilistic collaborative filtering with negative cross entropy. RecSys 2013: 387-390 - [c64]Alejandro Bellogín, Pablo Castells, Alan Said, Domonkos Tikk:
Workshop on reproducibility and replication in recommender systems evaluation: RepSys. RecSys 2013: 485-486 - [c63]Saul Vargas, Pablo Castells:
Exploiting the diversity of user preferences for recommendation. OAIR 2013: 129-136 - [c62]Alejandro Bellogín, Pablo Castells, Iván Cantador:
Improving memory-based collaborative filtering by neighbour selection based on user preference overlap. OAIR 2013: 145-148 - [c61]Rodrygo L. T. Santos, Pablo Castells, Ismail Sengör Altingövde, Fazli Can:
Diversity and novelty in information retrieval. SIGIR 2013: 1130 - [c60]Pablo Castells, Frank Hopfgartner, Alan Said, Mounia Lalmas:
Workshop on benchmarking adaptive retrieval and recommender systems: BARS 2013. SIGIR 2013: 1133 - [e4]Alejandro Bellogín, Pablo Castells, Alan Said, Domonkos Tikk:
Proceedings of the International Workshop on Reproducibility and Replication in Recommender Systems Evaluation, RepSys 2013, Hong Kong, China, October 12, 2013. ACM 2013, ISBN 978-1-4503-2465-6 [contents] - [i1]Alejandro Bellogín, Pablo Castells, Iván Cantador:
Predicting Recommender System Performance from an Information Retrieval Perspective. Adv. Math. Commun. 2 (2013) - 2012
- [j14]Felisa Verdejo, Raquel Martínez-Unanue, Pablo Castells, Antonio Moreno-Sandoval, Doroteo T. Toledano, Paloma Martínez, Abraham Duarte, José Manuel Pardo, Manuel Buenaga, Juan Cigarrán, Víctor Fresno-Fernández, Ana García-Serrano, Iván Cantador, David Vallet, A. Martínez:
Mejorando el acceso, el análisis y la visibilidad de la Información y los contenidos Multilingues y Multimedia en Red para la Comunidad de Madrid. Proces. del Leng. Natural 49: 189-192 (2012) - [c59]Xavier Amatriain, Pablo Castells, Arjen P. de Vries, Christian Posse:
Workshop on recommendation utility evaluation: beyond RMSE - RUE 2012. RecSys 2012: 351-352 - [c58]Saul Vargas, Pablo Castells, David Vallet:
Explicit relevance models in intent-oriented information retrieval diversification. SIGIR 2012: 75-84 - [c57]David Vallet, Pablo Castells:
Personalized diversification of search results. SIGIR 2012: 841-850 - [p6]Iván Cantador, Pablo Castells:
Group Recommender Systems: New Perspectives in the Social Web. Recommender Systems for the Social Web 2012: 139-157 - [e3]Xavier Amatriain, Pablo Castells, Arjen P. de Vries, Christian Posse, Harald Steck:
Proceedings of the Workshop on Recommendation Utility Evaluation: Beyond RMSE, RUE 2012, Dublin, Ireland, September 9, 2012. CEUR Workshop Proceedings 910, CEUR-WS.org 2012 [contents] - 2011
- [j13]Iván Cantador, Pablo Castells:
Extracting multilayered Communities of Interest from semantic user profiles: Application to group modeling and hybrid recommendations. Comput. Hum. Behav. 27(4): 1321-1336 (2011) - [j12]Iván Cantador, Pablo Castells, Alejandro Bellogín:
An Enhanced Semantic Layer for Hybrid Recommender Systems: Application to News Recommendation. Int. J. Semantic Web Inf. Syst. 7(1): 44-78 (2011) - [j11]David Vallet, Frank Hopfgartner, Joemon M. Jose, Pablo Castells:
Effects of Usage-Based Feedback on Video Retrieval: A Simulation-Based Study. ACM Trans. Inf. Syst. 29(2): 11:1-11:32 (2011) - [j10]Miriam Fernández, Iván Cantador, Vanessa López, David Vallet, Pablo Castells, Enrico Motta:
Semantically enhanced Information Retrieval: An ontology-based approach. J. Web Semant. 9(4): 434-452 (2011) - [c56]David Vallet, Martin Halvey, Joemon M. Jose, Pablo Castells:
Applying soft links to diversify video recommendations. CBMI 2011: 73-78 - [c55]Alejandro Bellogín, Jun Wang, Pablo Castells:
Structured collaborative filtering. CIKM 2011: 2257-2260 - [c54]Alejandro Bellogín, Jun Wang, Pablo Castells:
Text Retrieval Methods for Item Ranking in Collaborative Filtering. ECIR 2011: 301-306 - [c53]Alejandro Bellogín, Pablo Castells, Iván Cantador:
Predicting the Performance of Recommender Systems: An Information Theoretic Approach. ICTIR 2011: 27-39 - [c52]Simone Santini, Pablo Castells:
An Evaluation of Novelty and Diversity Based on Fuzzy Logic. DiveRS@RecSys 2011: 51-58 - [c51]Saul Vargas, Pablo Castells:
Rank and relevance in novelty and diversity metrics for recommender systems. RecSys 2011: 109-116 - [c50]Alejandro Bellogín, Pablo Castells, Iván Cantador:
Precision-oriented evaluation of recommender systems: an algorithmic comparison. RecSys 2011: 333-336 - [c49]Pablo Castells, Jun Wang, Rubén Lara, Dell Zhang:
Workshop on novelty and diversity in recommender systems - DiveRS 2011. RecSys 2011: 393-394 - [c48]Alejandro Bellogín, Pablo Castells, Iván Cantador:
Self-adjusting hybrid recommenders based on social network analysis. SIGIR 2011: 1147-1148 - [c47]David Vallet, Pablo Castells:
On diversifying and personalizing web search. SIGIR 2011: 1157-1158 - [c46]Saul Vargas, Pablo Castells, David Vallet:
Intent-oriented diversity in recommender systems. SIGIR 2011: 1211-1212 - [e2]Pablo Castells, Jun Wang, Rubén Lara, Dell Zhang:
Proceedings of the Workshop on Novelty and Diversity in Recommender Systems, DiveRS 2011, at the 5th ACM International Conference on Recommender Systems, RecSys 2011, Chicago, Illinois, USA, 23 October 2011. CEUR Workshop Proceedings 816, CEUR-WS.org 2011 [contents] - 2010
- [c45]Alejandro Bellogín, Pablo Castells:
A Performance Prediction Approach to Enhance Collaborative Filtering Performance. ECIR 2010: 382-393 - [c44]Alejandro Bellogín, Iván Cantador, Pablo Castells:
A study of heterogeneity in recommendations for a social music service. HetRec@RecSys 2010: 1-8 - [c43]Jérôme Picault, Dimitre Kostadinov, Pablo Castells, Alejandro Jaimes:
Workshop on the practical use of recommender systems algorithms & technology. RecSys 2010: 373-374 - [c42]José M. Conde, David Vallet, Pablo Castells:
Inferring user intent in web search by exploiting social annotations. SIGIR 2010: 827-828 - [p5]Alejandro Bellogín, Iván Cantador, Pablo Castells, Alvaro Ortigosa:
Discerning Relevant Model Features in a Content-based Collaborative Recommender System. Preference Learning 2010: 429-455 - [e1]Jérôme Picault, Dimitre Kostadinov, Pablo Castells, Alejandro Jaimes:
Proceedings of the Workshop on the Practical Use of Recommender Systems, Algorithms and Technologies, PRSAT 2010, Barcelona, Spain, September 30, 2010. CEUR Workshop Proceedings 676, CEUR-WS.org 2010 [contents]
2000 – 2009
- 2009
- [c41]Alejandro Bellogín, Pablo Castells:
Predicting Neighbor Goodness in Collaborative Filtering. FQAS 2009: 605-616 - 2008
- [j9]Iván Cantador, Alejandro Bellogín, Pablo Castells:
A multilayer ontology-based hybrid recommendation model. AI Commun. 21(2-3): 203-210 (2008) - [j8]Phivos Mylonas, David Vallet, Pablo Castells, Miriam Fernández, Yannis Avrithis:
Personalized information retrieval based on context and ontological knowledge. Knowl. Eng. Rev. 23(1): 73-100 (2008) - [j7]Phivos Mylonas, Hermann Hellwagner, Pablo Castells, Manolis Wallace:
Signal, image and video processing (SIVP) special issue on "multimedia semantics, adaptation and personalization" Editorial. Signal Image Video Process. 2(4): 287-288 (2008) - [c40]Iván Cantador, Alejandro Bellogín, Pablo Castells:
News@hand: A Semantic Web Approach to Recommending News. AH 2008: 279-283 - [c39]Miriam Fernández, Vanessa López, Marta Sabou, Victoria S. Uren, David Vallet, Enrico Motta, Pablo Castells:
Semantic Search Meets the Web. ICSC 2008: 253-260 - [c38]