ORSUM 2022-5th Workshop on Online Recommender Systems and User Modeling

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10448374" target="_blank" >RIV/00216208:11320/22:10448374 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1145/3523227.3547411" target="_blank" >https://doi.org/10.1145/3523227.3547411</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3523227.3547411" target="_blank" >10.1145/3523227.3547411</a>

Result language

angličtina

Original language name

ORSUM 2022-5th Workshop on Online Recommender Systems and User Modeling

Original language description

Modern online systems for user modeling and recommendation need to continuously deal with complex data streams generated by users at very fast rates. This can be overwhelming for systems and algorithms designed to train recommendation models in batches, given the continuous and potentially fast change of content, context and user preferences or intents. Therefore, it is important to investigate methods able to transparently and continuously adapt to the inherent dynamics of user interactions, preferably for long periods of time. Online models that continuously learn from such flows of data 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.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, and their implications regarding multiple dimensions, such as evaluation, reproducibility, privacy, fairness and transparency.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

RecSys &apos;22: Proceedings of the 16th ACM Conference on Recommender Systems

ISBN

978-1-4503-9278-5

ISSN

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e-ISSN

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Number of pages

2

Pages from-to

661-662

Publisher name

ACM

Place of publication

New York, NY, USA

Event location

Seattle WA, USA

Event date

Sep 18, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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