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When: Dec 1, 2023 - Dec 4, 2023 Submission Deadline: Sep 10, 2023 | ||
Nowadays, the renaissance of artificial intelligence (AI) has attracted huge attention from every corner of the world. On the one hand, neural algorithms and theories (include shallow and deep ones) ... | ||
RECOMMENDER SYSTEMS DATA MINING MACHINE LEARNING | ||
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When: Dec 11, 2023 - Dec 13, 2023 Submission Deadline: Sep 5, 2023 | ||
The 12th International Conference on Computational Data and Social Networks • December 11-13, 2023 – Hanoi, Vietnam • https://csonet-conf.github.io/csonet23/index.html • CSoNet 20... | ||
DATA MINING DEEP LEARNING SOCIAL NETWORKS RECOMMENDER SYSTEMS | ||
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When: Sep 18, 2023 - Sep 22, 2023 Submission Deadline: Aug 3, 2023 | ||
Call for Papers • Fifth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS 2023) • https://kars-workshop.github.io/2023/ • Sep. 18th - Sep. 22rd, 2023, Singapore ... | ||
RECOMMENDER SYSTEMS INFORMATION RETRIEVAL KNOWLEDGE GRAPHS CONVERSATIONAL AGENTS | ||
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When: Sep 18, 2022 - Sep 23, 2022 Submission Deadline: Aug 5, 2022 | ||
Fourth Workshop on Knowledge-aware and Conversational Recommender Systems (KaRS 2022) • https://kars-workshop.github.io/2022/ • Sep. 18th - Sep. 23rd, 2022, Seattle, WA, USA • Submi... | ||
RECOMMENDER SYSTEMS INFORMATION RETRIEVAL KNOWLEDGE GRAPHS CONVERSATIONAL AGENTS | ||
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When: Sep 18, 2022 - Sep 23, 2022 Submission Deadline: Jul 7, 2022 | ||
Modern online services continuously generate data at very fast rates. This continuous flow of data encompasses content - e.g. posts, news, products, comments -, but also user feedback - e.g. ratings,... | ||
RECOMMENDER SYSTEMS ARTIFICIAL INTELLIGENCE DATA SCIENCE MACHINE LEARNING | ||
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When: Sep 18, 2022 - Sep 23, 2022 Submission Deadline: Aug 5, 2022 | ||
We encourage submissions that address the challenges related to having multiple objectives or multiple stakeholders in recommender systems. The topics of interest for the workshop include, but are no... | ||
RECOMMENDER SYSTEMS PERSONALIZATION FAIRNESS IN RECOMMENDER SYSTEM MULTI-OBJECTIVE RECOMMENDER SY | ||
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Submission Deadline: Sep 30, 2020 | ||
The increasing interest of citizens for websites, social networks, streaming services, and other online media has led to the web becoming an indispensable instrument in daily life for business activit... | ||
MACHINE LEARNING WEB MINING SOCIAL MEDIA RECOMMENDER SYSTEMS | ||
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When: Sep 14, 2020 - Sep 18, 2020 Submission Deadline: May 31, 2020 | ||
The workshop addresses technical, societal, and ethical questions related to news analytics. Publishers increasingly rely on automation to supply information to readers. Conversely, readers face infor... | ||
RECOMMENDER SYSTEMS | ||
ORSUM 2020 : 3rd Workshop on Online Recommender Systems and User ModelingRio de Janeiro, Brazil |
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When: Sep 25, 2020 - Sep 25, 2020 Submission Deadline: Jul 13, 2020 | ||
Modern online web-based systems continuously generate data at very fast rates. This continuous flow of data encompasses web content - e.g. posts, news, products, comments -, but also user feedback - s... | ||
RECOMMENDER SYSTEMS ARTIFICIAL INTELLIGENCE MACHINE LEARNING | ||
OHARS 2020 : Workshop on Online Misinformation- and Harm-Aware Recommender SystemsRio de Janeiro, Brazil |
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When: Sep 25, 2020 - Sep 25, 2020 Submission Deadline: Jul 13, 2020 | ||
Harnessing recommender systems with misinformation- and harm-awareness mechanisms become essential not only to mitigate the negative effects of the diffusion of unwanted content, but also to increase ... | ||
RECOMMENDER SYSTEMS | ||
RecSys 2020 : ACM Conference on Recommender SystemsRio de Janeiro, Brazil |
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When: Sep 22, 2020 - Sep 26, 2020 Submission Deadline: May 04, 2020 | ||
The ACM Recommender Systems conference (RecSys) is the premier international forum for the presentation of new research results, systems and techniques in the broad field of recommender systems. Recom... | ||
WEB MOBILE MULTIMEDIA TECHNOLOGIES MACHINE LEARNING ARTIFICIAL INTELLIGENCE | ||
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When: Sep 19, 2019 - Sep 19, 2019 Submission Deadline: Jul 8, 2019 | ||
Overview • The ever-growing nature of user generated data in online systems poses obvious challenges on how we process such data. Typically, this issue is regarded as a scalability problem and h... | ||
RECOMMENDER SYSTEMS DATA MINING MACHINE LEARNING USER MODELING | ||
ImpactRS 2019 : Workshop on the Impact of Recommender SystemsCopenhagen, Denmark |
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When: Sep 19, 2019 - Sep 19, 2019 Submission Deadline: Jul 1, 2019 | ||
Research in the area of recommender systems is largely focused on helping individual users finding items they are interested in. • Recommender systems can have broad directly-measurable impacts,... | ||
RECOMMENDER SYSTEMS ONLINE EVALUATION OFFLINE EVALUATION BUSINESS METRICS | ||
INRA 2019 : 7th International Workshop on News Recommendation and AnalyticsCopenhagen, Denmark |
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When: Sep 16, 2019 - Sep 20, 2019 Submission Deadline: Jul 12, 2019 | ||
7th International Workshop on News Recommendation and Analytics (INRA 2019) will be held in conjunction with 13th ACM Conference on Recommender Systems (RecSys 2019) , 16-20 September 2019, Copenhagen... | ||
RECOMMENDER SYSTEMS NEWS RECOMMENDATION NEWS ANALYTICS FAKE NEWS | ||
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When: Sep 4, 2019 - Sep 6, 2019 Submission Deadline: Mar 15, 2019 | ||
REC 2019 Special Session offers an opportunity to gather research scientific works related in the area of recommender systems. • The Special Section focuses on all aspects of recommender systems... | ||
RECOMMENDER SYSTEMS ARTIFICIAL INTELLIGENCE MACHINE LEARNING | ||
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When: Sep 16, 2019 - Sep 20, 2019 Submission Deadline: Apr 23, 2019 | ||
--------------------------------------------------------------------------- • Call for Papers: ACM RecSys 2019 • to be held in • Copenhagen, Denmark, 16th-20th September 2019 •... | ||
RECOMMENDER SYSTEMS INFORMATION SYSTEM DATA MINING NFORMATION RETRIEVAL | ||
Find and Compare Upcoming Recommender Systems Events in September. Check Important Dates, Venue, Speaker, Location, Address, Exhibitor Information, Timing, Schedule, Discussion Topics, Agenda, Visitors Profile, and Other Important Details.