First workshop on the impact of recommender systems at ACM REcSys 2019

Oren Sar Shalom; Dietmar Jannach; Ido Guy

doi:10.1145/3298689.3347060

First workshop on the impact of recommender systems at ACM REcSys 2019

Oren Sar Shalom, Dietmar Jannach, Ido Guy

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Research in the area of recommender systems is largely focused on the value such a system creates for the users, by helping them fnding items they are interested in. This is usually done by learning to rank the recommendable items based on their assumed relevance for each user. The implicit underlying goal often is that this personalization positively afects users in diferent positive ways, e.g., by making their search and decision processes easier or by helping them discover new things [3].

Original language	English
Title of host publication	RecSys 2019 - 13th ACM Conference on Recommender Systems
Publisher	Association for Computing Machinery, Inc
Pages	556-557
Number of pages	2
ISBN (Electronic)	9781450362436
DOIs	https://doi.org/10.1145/3298689.3347060
State	Published - 10 Sep 2019
Externally published	Yes
Event	13th ACM Conference on Recommender Systems, RecSys 2019 - Copenhagen, Denmark Duration: 16 Sep 2019 → 20 Sep 2019

Publication series

Name	RecSys 2019 - 13th ACM Conference on Recommender Systems

Conference

Conference	13th ACM Conference on Recommender Systems, RecSys 2019
Country/Territory	Denmark
City	Copenhagen
Period	16/09/19 → 20/09/19

Bibliographical note

Publisher Copyright:
© 2019 Copyright held by the owner/author(s).

Keywords

Evaluation
Impact of Recommender Systems

Access to Document

10.1145/3298689.3347060

Cite this

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title = "First workshop on the impact of recommender systems at ACM REcSys 2019",

abstract = "Research in the area of recommender systems is largely focused on the value such a system creates for the users, by helping them fnding items they are interested in. This is usually done by learning to rank the recommendable items based on their assumed relevance for each user. The implicit underlying goal often is that this personalization positively afects users in diferent positive ways, e.g., by making their search and decision processes easier or by helping them discover new things [3].",

keywords = "Evaluation, Impact of Recommender Systems",

author = "Shalom, {Oren Sar} and Dietmar Jannach and Ido Guy",

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year = "2019",

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doi = "10.1145/3298689.3347060",

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Shalom, OS, Jannach, D & Guy, I 2019, First workshop on the impact of recommender systems at ACM REcSys 2019. in RecSys 2019 - 13th ACM Conference on Recommender Systems. RecSys 2019 - 13th ACM Conference on Recommender Systems, Association for Computing Machinery, Inc, pp. 556-557, 13th ACM Conference on Recommender Systems, RecSys 2019, Copenhagen, Denmark, 16/09/19. https://doi.org/10.1145/3298689.3347060

First workshop on the impact of recommender systems at ACM REcSys 2019. / Shalom, Oren Sar; Jannach, Dietmar; Guy, Ido.
RecSys 2019 - 13th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc, 2019. p. 556-557 (RecSys 2019 - 13th ACM Conference on Recommender Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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First workshop on the impact of recommender systems at ACM REcSys 2019

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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Cite this