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• RecSys 2019
  |Title=13th ACM Conference on Recommender Systems * Bias, bubbles and ethics of recommender systems
  1 KB (142 words) - 11:17, 8 March 2021
• RecSys@FLAIRS 2017
  |Title=RecSys@FLAIRS 2017 : Recommender Systems Special Track at the International FLAIRS Conference |Field=artificial intelligence, recommender systems, computer science, machine learning
  480 bytes (57 words) - 11:17, 8 March 2021
• RecSys 2018
  |Title=12th ACM Conference on Recommender Systems * Conversational recommender systems
  1 KB (121 words) - 11:17, 8 March 2021
• RecSys2
  |Title=Conference on Recommender Systems
  168 bytes (24 words) - 11:28, 17 February 2021
• RecSys
  |Title=Conference on Recommender Systems
  189 bytes (25 words) - 11:28, 17 February 2021
• RecSys 2017
  |Title=11th ACM Conference on Recommender Systems * Conversational recommender systems
  1 KB (132 words) - 11:17, 8 March 2021
• CARS 2009
  |Title=Workshop on Context-Aware Recommender Systems === WORKSHOP ON CONTEXT-AWARE RECOMMENDER SYSTEMS (CARS-2009) ===
  5 KB (672 words) - 10:32, 8 March 2021
• KES-IIMS 2008
  | Title = Hybrid Recommender Systems for Multimedia
  552 bytes (60 words) - 19:58, 17 February 2021
• RSPR 2008
  | Title = First International Workshop on Recommender Systems and Personalized Retrieval
  573 bytes (66 words) - 20:11, 17 February 2021
• RecSys 2007
  | Title = ACM Conference on Recommender Systems
  508 bytes (49 words) - 20:12, 17 February 2021
• OIR Special Issue 2017
  ...ssue 2017 : Online Information Review Special issue on Social Recommender Systems: Impact on individual life and society
  367 bytes (46 words) - 11:12, 8 March 2021
• ITWP 2008
  ...Workshop on Intelligent Techniques for Web Personalization and Recommender Systems
  599 bytes (71 words) - 19:56, 17 February 2021
• RecSys 2020
  |Title=14th ACM Conference on Recommender Systems '''14th ACM Conference on Recommender Systems'''
  4 KB (479 words) - 11:17, 8 March 2021
• Sp. Issue on Personalization 2008
  ...ch adapt their behavior to the user preferences and needs, and recommender systems that predict the relevance of diverse items (e.g., movies, travels, product - User profiling in adaptive systems
  4 KB (570 words) - 20:19, 17 February 2021
• TRUSTMINE 2010
  ...non-pertinent, untrustworthy or even malicious data. Trust and Recommender systems, along with personalization techniques, appear to be essential candidates t Trust, Recommender and Personalization mechanisms could help filter, interpret and rank web-us
  4 KB (601 words) - 11:23, 8 March 2021
• MSoDa 2008
  ...social websites and instant messaging systems. Due to the success of such systems, numerous web users everyday use the Web as a social medium to interact wit ...ining finds several applications; for instance, in e-commerce (recommender systems), in multimedia searching (high volumes of digital photos, videos, audio re
  3 KB (453 words) - 20:03, 17 February 2021
• TRESSS 2010
  |Title=Trust and Recommender Systems for Social Search and Web-log analysis Modern search systems, as well as online marketing and web-analytics applications can benefit gre
  6 KB (766 words) - 11:23, 8 March 2021
• Soft Computing SI 2009
  ...echniques. It is dedicated to 2008 International Conference on Intelligent Systems and Knowledge Engineering (ISKE2008, Nov 17-18, 2008, Xiamen, China). A str • Intelligent decision support systems
  2 KB (287 words) - 20:19, 17 February 2021
• ACIIDS 2015
  |Title=7th Asian Conference Intelligent Information and Database Systems |Field=Intelligen Information and Database Systems
  3 KB (341 words) - 10:25, 8 March 2021
• AM-SD2017
  |Title=Data-Driven Approaches for Analyzing and Managing Scholarly Data: Systems, Methods and Applications ...trieval, digital libraries, graph databases, machine learning, recommender systems, visualization, etc.) to combine the resources in order to exploit the poss
  4 KB (492 words) - 10:28, 8 March 2021

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