research-article

CARES: a ranking-oriented CADAL recommender system

Authors:

Liang ZhangAuthors Info & Claims

JCDL '09: Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries

Pages 203 - 212

https://doi.org/10.1145/1555400.1555432

Published: 15 June 2009 Publication History

Abstract

A recommender system is useful for a digital library to suggest the books that are likely preferred by a user. Most recommender systems using collaborative filtering approaches leverage the explicit user ratings to make personalized recommendations. However, many users are reluctant to provide explicit ratings, so ratings-oriented recommender systems do not work well. In this paper, we present a recommender system for CADAL digital library, namely CARES, which makes recommendations using a ranking-oriented collaborative filtering approach based on users' access logs, avoiding the problem of the lack of user ratings. Our approach employs mean AP correlation coefficients for computing similarities among users' implicit preference models and a random walk based algorithm for generating a book ranking personalized for the individual. Experimental results on real access logs from the CADAL web site show the effectiveness of our system and the impact of different values of parameters on the recommendation performance.

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Cited By

Wolski MKlorek AKobusinska A(2024)Alleviating Cold Start in the EOSC Recommendations: Extended Page Rank AlgorithmIEEE Access10.1109/ACCESS.2024.345063212(120498-120511)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3450632
Huang ZTang DZhao RRao W(2024)A scientific paper recommendation method using the time decay heterogeneous graphScientometrics10.1007/s11192-024-04933-4129:3(1589-1613)Online publication date: 23-Jan-2024
https://doi.org/10.1007/s11192-024-04933-4
Shen CLi H(2024)Personalized Novel Recommendation System Based on Filtering and Sentiment AnalysisData Science10.1007/978-981-97-8749-4_5(69-80)Online publication date: 31-Oct-2024
https://doi.org/10.1007/978-981-97-8749-4_5
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Index Terms

CARES: a ranking-oriented CADAL recommender system
1. Applied computing
  1. Computers in other domains
    1. Digital libraries and archives
2. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction
  2. Information systems applications
    1. Digital libraries and archives

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Published In

cover image ACM Conferences

JCDL '09: Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries

June 2009

502 pages

ISBN:9781605583228

DOI:10.1145/1555400

General Chairs:
Fred Heath
University of Texas Libraries, USA
,
Mary Lynn Rice-Lively
University of Texas at Austin, USA
,
Program Chair:
Richard Furuta
Texas A&M University, USA

Copyright © 2009 ACM.

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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Published: 15 June 2009

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JCDL '09

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JCDL '09: Joint Conference on Digital Libraries

June 15 - 19, 2009

TX, Austin, USA

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Overall Acceptance Rate 415 of 1,482 submissions, 28%

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Cited By

Wolski MKlorek AKobusinska A(2024)Alleviating Cold Start in the EOSC Recommendations: Extended Page Rank AlgorithmIEEE Access10.1109/ACCESS.2024.345063212(120498-120511)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3450632
Huang ZTang DZhao RRao W(2024)A scientific paper recommendation method using the time decay heterogeneous graphScientometrics10.1007/s11192-024-04933-4129:3(1589-1613)Online publication date: 23-Jan-2024
https://doi.org/10.1007/s11192-024-04933-4
Shen CLi H(2024)Personalized Novel Recommendation System Based on Filtering and Sentiment AnalysisData Science10.1007/978-981-97-8749-4_5(69-80)Online publication date: 31-Oct-2024
https://doi.org/10.1007/978-981-97-8749-4_5
Bian WLiu SZhou YChen DLiao YFan ZWang A(2024)IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language ModelKnowledge Science, Engineering and Management10.1007/978-981-97-5489-2_24(270-282)Online publication date: 27-Jul-2024
https://doi.org/10.1007/978-981-97-5489-2_24
Niu YJiang TChen ZBai W(2023)Dynamic Feature Collaborative Variational Auto-Encoders for Academic Paper RecommendationProceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering10.1145/3650400.3650671(1620-1627)Online publication date: 20-Oct-2023
https://dl.acm.org/doi/10.1145/3650400.3650671
Yuan MWan JWang D(2023)CRM-SBKG: Effective Citation Recommendation by Siamese BERT and Knowledge Graph2023 IEEE 2nd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA)10.1109/EEBDA56825.2023.10090832(909-914)Online publication date: 24-Feb-2023
https://doi.org/10.1109/EEBDA56825.2023.10090832
Thierry NBao BAli Z(2023)RAR-SB: research article recommendation using SciBERT with BiGRUScientometrics10.1007/s11192-023-04840-0128:12(6427-6448)Online publication date: 21-Oct-2023
https://doi.org/10.1007/s11192-023-04840-0
Färber MCoutinho MYuan S(2023)Biases in scholarly recommender systems: impact, prevalence, and mitigationScientometrics10.1007/s11192-023-04636-2128:5(2703-2736)Online publication date: 21-Mar-2023
https://doi.org/10.1007/s11192-023-04636-2
Fujimoto TMurakami H(2022)A Book Recommendation System Considering Contents and Emotions of User Interests2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)10.1109/IIAIAAI55812.2022.00039(154-157)Online publication date: Jul-2022
https://doi.org/10.1109/IIAIAAI55812.2022.00039
Pornprasit CLiu XKiattipadungkul PKertkeidkachorn NKim KNoraset THassan STuarob S(2022)Enhancing citation recommendation using citation network embeddingScientometrics10.1007/s11192-021-04196-3Online publication date: 11-Jan-2022
https://doi.org/10.1007/s11192-021-04196-3
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