متابعة
Pasquale Lops
Pasquale Lops
Full Professor - University of Bari Aldo Moro
بريد إلكتروني تم التحقق منه على di.uniba.it - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Content-based recommender systems: State of the art and trends‏
P Lops, M De Gemmis, G Semeraro‏
Recommender systems handbook, 73-105, 2011‏
30932011
Semantics-aware content-based recommender systems‏
M De Gemmis, P Lops, C Musto, F Narducci, G Semeraro‏
Recommender systems handbook, 119-159, 2015‏
3502015
Introducing serendipity in a content-based recommender system‏
L Iaquinta, M De Gemmis, P Lops, G Semeraro, M Filannino, P Molino‏
2008 eighth international conference on hybrid intelligent systems, 168-173, 2008‏
2732008
A content-collaborative recommender that exploits WordNet-based user profiles for neighborhood formation‏
M Degemmis, P Lops, G Semeraro‏
User Modeling and User-Adapted Interaction 17, 217-255, 2007‏
2642007
Trends in content-based recommendation: Preface to the special issue on Recommender systems based on rich item descriptions‏
P Lops, D Jannach, C Musto, T Bogers, M Koolen‏
User Modeling and User-Adapted Interaction 29, 239-249, 2019‏
2182019
Integrating tags in a semantic content-based recommender‏
M De Gemmis, P Lops, G Semeraro, P Basile‏
Proceedings of the 2008 ACM conference on Recommender systems, 163-170, 2008‏
2132008
An investigation on the serendipity problem in recommender systems‏
M De Gemmis, P Lops, G Semeraro, C Musto‏
Information Processing & Management 51 (5), 695-717, 2015‏
1642015
Learning word embeddings from wikipedia for content-based recommender systems‏
C Musto, G Semeraro, M De Gemmis, P Lops‏
Advances in Information Retrieval: 38th European Conference on IR Research …, 2016‏
1502016
Human decision making and recommender systems‏
L Chen, M De Gemmis, A Felfernig, P Lops, F Ricci, G Semeraro‏
ACM Transactions on Interactive Intelligent Systems (TiiS) 3 (3), 1-7, 2013‏
1412013
Human decision making and recommender systems‏
A Jameson, MC Willemsen, A Felfernig, M De Gemmis, P Lops, ...‏
Recommender systems handbook, 611-648, 2015‏
1242015
Preference learning in recommender systems‏
M De Gemmis, L Iaquinta, P Lops, C Musto, F Narducci, G Semeraro‏
Preference Learning 41 (41-55), 48, 2009‏
1182009
A multi-criteria recommender system exploiting aspect-based sentiment analysis of users' reviews‏
C Musto, M De Gemmis, G Semeraro, P Lops‏
Proceedings of the eleventh ACM conference on recommender systems, 321-325, 2017‏
1142017
Personalized finance advisory through case-based recommender systems and diversification strategies‏
C Musto, G Semeraro, P Lops, M De Gemmis, G Lekkas‏
Decision Support Systems 77, 100-111, 2015‏
1132015
Combining Learning and Word Sense Disambiguation for Intelligent User Profiling.‏
G Semeraro, M Degemmis, P Lops, P Basile‏
IJCAI 7, 2856-2861, 2007‏
1002007
Ontologically-enriched unified user modeling for cross-system personalization‏
B Mehta, C Niederee, A Stewart, M Degemmis, P Lops, G Semeraro‏
User Modeling 2005: 10th International Conference, UM 2005, Edinburgh …, 2005‏
962005
Word Embedding Techniques for Content-based Recommender Systems: An Empirical Evaluation.‏
C Musto, G Semeraro, M De Gemmis, P Lops‏
Recsys posters 1441, 2015‏
912015
Explod: A framework for explaining recommendations based on the linked open data cloud‏
C Musto, F Narducci, P Lops, M De Gemmis, G Semeraro‏
Proceedings of the 10th ACM Conference on Recommender Systems, 151-154, 2016‏
882016
Linked open data-based explanations for transparent recommender systems‏
C Musto, F Narducci, P Lops, M De Gemmis, G Semeraro‏
International Journal of Human-Computer Studies 121, 93-107, 2019‏
862019
Knowledge infusion into content-based recommender systems‏
G Semeraro, P Lops, P Basile, M de Gemmis‏
Proceedings of the third ACM conference on Recommender systems, 301-304, 2009‏
832009
Content-based and collaborative techniques for tag recommendation: an empirical evaluation‏
P Lops, M De Gemmis, G Semeraro, C Musto, F Narducci‏
Journal of Intelligent Information Systems 40, 41-61, 2013‏
822013
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20