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An algorithmic framework for performing collaborative filtering

Authors:

Jonathan L. Herlocker,

Joseph A. Konstan,

Al Borchers,

John RiedlAuthors Info & Claims

SIGIR '99: Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval

Pages 230 - 237

https://doi.org/10.1145/312624.312682

Published: 01 August 1999 Publication History

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Cited By

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Zeng XHuang MZhang HJi ZGanchev I(2024)Novel Human Activity Recognition and Recommendation Models for Maintaining Good Health of Mobile UsersWSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS10.37394/23209.2024.21.421(33-46)Online publication date: 23-Jan-2024
https://doi.org/10.37394/23209.2024.21.4
Lee SAhn JKim N(2024)Embedding Enhancement Method for LightGCN in Recommendation Information SystemsElectronics10.3390/electronics1312228213:12(2282)Online publication date: 11-Jun-2024
https://doi.org/10.3390/electronics13122282
Zhu SDing JYang J(2024)Location-Aware Deep Interaction Forest for Web Service QoS PredictionApplied Sciences10.3390/app1404145014:4(1450)Online publication date: 9-Feb-2024
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Index Terms

An algorithmic framework for performing collaborative filtering
1. Human-centered computing
  1. Collaborative and social computing
2. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction

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Published In

SIGIR '99: Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval

August 1999

339 pages

ISBN:1581130961

DOI:10.1145/312624

Chairmen:
Fredric Gey
Univ. of California
,
Marti Hearst
Univ. of California, Berkeley
,
Richard Tong
Tarragon Consulting Corp.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

Publication History

Published: 01 August 1999

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SIGIR

SIGIR99: 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

August 15 - 19, 1999

California, Berkeley, USA

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SIGIR '99 Paper Acceptance Rate 33 of 135 submissions, 24%;

Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

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Zeng XHuang MZhang HJi ZGanchev I(2024)Novel Human Activity Recognition and Recommendation Models for Maintaining Good Health of Mobile UsersWSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS10.37394/23209.2024.21.421(33-46)Online publication date: 23-Jan-2024
https://doi.org/10.37394/23209.2024.21.4
Lee SAhn JKim N(2024)Embedding Enhancement Method for LightGCN in Recommendation Information SystemsElectronics10.3390/electronics1312228213:12(2282)Online publication date: 11-Jun-2024
https://doi.org/10.3390/electronics13122282
Zhu SDing JYang J(2024)Location-Aware Deep Interaction Forest for Web Service QoS PredictionApplied Sciences10.3390/app1404145014:4(1450)Online publication date: 9-Feb-2024
https://doi.org/10.3390/app14041450
Núñez-Valdez EGarcía-Díaz V(2024)Guest Editorial for the Special Issue “New Trends in Algorithms for Intelligent Recommendation Systems”Algorithms10.3390/a1706025517:6(255)Online publication date: 10-Jun-2024
https://doi.org/10.3390/a17060255
OKOSO AOTAKI KISHII YKOIDE S(2024)A Case Study on Recommender Systems in Online Conferences: Behavioral Analysis through A/B TestingIEICE Transactions on Information and Systems10.1587/transinf.2023DAP0008E107.D:5(650-658)Online publication date: 1-May-2024
https://doi.org/10.1587/transinf.2023DAP0008
Kanwal SMalik MNawaz ZMehmood K(2024)SEEUNRS: Semantically Enriched Entity-Based Urdu News Recommendation SystemACM Transactions on Asian and Low-Resource Language Information Processing10.1145/363904923:3(1-13)Online publication date: 9-Mar-2024
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Wu CChen YYeh Y(2024)A Deep Recommendation Model Considering the Impact of Time and Individual DiversityIEEE Transactions on Computational Social Systems10.1109/TCSS.2023.327263311:2(2558-2569)Online publication date: Apr-2024
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Camps JOltra V(2024)Is Google driving us dumb? The introspective loopingInnovation: The European Journal of Social Science Research10.1080/13511610.2024.2381579(1-16)Online publication date: 30-Jul-2024
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Gong KSong XLi WWang S(2024)HN-GCCF: High-order neighbor-enhanced graph convolutional collaborative filteringKnowledge-Based Systems10.1016/j.knosys.2023.111122283(111122)Online publication date: Jan-2024
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Guan JChen BYu S(2024)A hybrid similarity model for mitigating the cold-start problem of collaborative filtering in sparse dataExpert Systems with Applications: An International Journal10.1016/j.eswa.2024.123700249:PBOnline publication date: 1-Sep-2024
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