research-article

On the discovery of fake binary ratings

Authors:

Murat Okkalioglu,

Huseyin PolatAuthors Info & Claims

SAC '15: Proceedings of the 30th Annual ACM Symposium on Applied Computing

Pages 901 - 907

https://doi.org/10.1145/2695664.2695866

Published: 13 April 2015 Publication History

Abstract

Privacy-preserving collaborative filtering methods promise to preserve privacy of individuals. In general, privacy has two aspects, preserving the rating values of users and masking who rated which items. In this study, we analyze a privacy-preserving collaborative filtering method for binary data referred to as randomized response technique. We develop a method targeting the second aspect of privacy to discover fake binary ratings using auxiliary and public information.

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Cited By

Devi Priya RReddy BHariharan P(2023)Spider Monkey Based K-Means Dynamic Collaborative Filtering for Movie Recommendation SystemsProceedings of the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2022)10.1007/978-3-031-27524-1_15(143-152)Online publication date: 28-Mar-2023
https://doi.org/10.1007/978-3-031-27524-1_15
Singh TNayyar ASolanki A(2020)Multilingual Opinion Mining Movie Recommendation System Using RNNProceedings of First International Conference on Computing, Communications, and Cyber-Security (IC4S 2019)10.1007/978-981-15-3369-3_44(589-605)Online publication date: 28-Apr-2020
https://doi.org/10.1007/978-981-15-3369-3_44
Polat HOkkalıoğlu BKoç M(2017)BÖLÜNMÜŞ VERİ-TABANLI GİZLİLİĞİ KORUYAN ORTAK FİLTRELEME SİSTEMLERİNDE GİZLİ VERİNİN ELDE EDİLMESİGazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi10.17341/gazimmfd.30059432:1Online publication date: 23-Mar-2017
https://doi.org/10.17341/gazimmfd.300594
Show More Cited By

Index Terms

On the discovery of fake binary ratings
1. Human-centered computing
  1. Collaborative and social computing
  2. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Web-based interaction
2. Information systems
  1. Information retrieval
  2. Information storage systems

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Published In

cover image ACM Conferences

SAC '15: Proceedings of the 30th Annual ACM Symposium on Applied Computing

April 2015

2418 pages

ISBN:9781450331968

DOI:10.1145/2695664

Conference Chairs:
Roger L. Wainwright
University of Tulsa
,
Juan Manuel Corchado
University of Salamanca, Spain
,
Program Chairs:
Alessio Bechini
University of Pisa, Italy
,
Jiman Hong
Soongsil University, South Korea

Copyright © 2015 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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SIGAPP: ACM Special Interest Group on Applied Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 April 2015

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TUBITAK

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SAC 2015

Sponsor:

SIGAPP

SAC 2015: Symposium on Applied Computing

April 13 - 17, 2015

Salamanca, Spain

Acceptance Rates

SAC '15 Paper Acceptance Rate 291 of 1,211 submissions, 24%;

Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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SAC '25

Sponsor:
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The 40th ACM/SIGAPP Symposium on Applied Computing

March 31 - April 4, 2025

Catania , Italy

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Citations

Cited By

Devi Priya RReddy BHariharan P(2023)Spider Monkey Based K-Means Dynamic Collaborative Filtering for Movie Recommendation SystemsProceedings of the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2022)10.1007/978-3-031-27524-1_15(143-152)Online publication date: 28-Mar-2023
https://doi.org/10.1007/978-3-031-27524-1_15
Singh TNayyar ASolanki A(2020)Multilingual Opinion Mining Movie Recommendation System Using RNNProceedings of First International Conference on Computing, Communications, and Cyber-Security (IC4S 2019)10.1007/978-981-15-3369-3_44(589-605)Online publication date: 28-Apr-2020
https://doi.org/10.1007/978-981-15-3369-3_44
Polat HOkkalıoğlu BKoç M(2017)BÖLÜNMÜŞ VERİ-TABANLI GİZLİLİĞİ KORUYAN ORTAK FİLTRELEME SİSTEMLERİNDE GİZLİ VERİNİN ELDE EDİLMESİGazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi10.17341/gazimmfd.30059432:1Online publication date: 23-Mar-2017
https://doi.org/10.17341/gazimmfd.300594
Cui B(2017)Design and Implementation of Movie Recommendation System Based on Knn Collaborative Filtering AlgorithmITM Web of Conferences10.1051/itmconf/2017120400812(04008)Online publication date: 5-Sep-2017
https://doi.org/10.1051/itmconf/20171204008
Demirelli Okkalioglu BKoc MPolat H(2016)Reconstructing rated items from perturbed dataNeurocomputing10.1016/j.neucom.2016.05.014207:C(374-386)Online publication date: 26-Sep-2016
https://dl.acm.org/doi/10.1016/j.neucom.2016.05.014
Okkalioglu MKoc MPolat H(2015)On the Privacy of Horizontally Partitioned Binary Data-Based Privacy-Preserving Collaborative FilteringRevised Selected Papers of the 10th International Workshop on Data Privacy Management, and Security Assurance - Volume 948110.1007/978-3-319-29883-2_13(199-214)Online publication date: 21-Sep-2015
https://dl.acm.org/doi/10.1007/978-3-319-29883-2_13
Ozturk APolat H(2015)From existing trends to future trends in privacy-preserving collaborative filteringWiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery10.1002/widm.11635:6(276-291)Online publication date: 1-Nov-2015
https://dl.acm.org/doi/10.1002/widm.1163

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