About |
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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 - such as ratings, views, reads, clicks, thumbs up -, as well as context information - user device, geographic info, social network, current user activity, weather. This is potentially overwhelming for systems and algorithms design to train in offline batches, given the continuous and potentially fast change of content, context and user preferences. Therefore it is important to investigate online methods to be able to transparently adapt to the inherent dynamics of online systems. Incremental models that learn from data streams are gaining attention in the recommender systems community, given their natural ability to deal with data generated in dynamic, complex environments. User modeling and personalization can particularly benefit from algorithms capable of maintaining models incrementally and online, as data is generated. The objective of this workshop is to foster contributions and bring together a growing community of researchers and practitioners interested in online, adaptive approaches to user modeling, recommendation and personalization, as well as other related tasks, such as evaluation, reproducibility, privacy and explainability. |
Call for Papers |
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Relevant topics include, but are not limited to:
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Summary |
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ORSUM 2020 : 3rd Workshop on Online Recommender Systems and User Modeling will take place in Rio de Janeiro, Brazil. It’s a 1 day event starting on Sep 25, 2020 (Friday) and will be winded up on Sep 25, 2020 (Friday). ORSUM 2020 falls under the following areas: RECOMMENDER SYSTEMS, ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, etc. Submissions for this Workshop can be made by Jul 13, 2020. Authors can expect the result of submission by Aug 06, 2020. Upon acceptance, authors should submit the final version of the manuscript on or before Sep 03, 2020 to the official website of the Workshop. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the ORSUM 2020
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Credits and Sources |
| [1] ORSUM 2020 : 3rd Workshop on Online Recommender Systems and User Modeling |
