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Flickr group recommendation based on tensor decomposition

Authors:

Nan Zheng,

Qiudan Li,

Shengcai Liao,

Leiming ZhangAuthors Info & Claims

SIGIR '10: Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval

Pages 737 - 738

https://doi.org/10.1145/1835449.1835591

Published: 19 July 2010 Publication History

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Abstract

Over the last few years, Flickr has gained massive popularity and groups in Flickr are one of the main ways for photo diffusion. However, the huge volume of groups brings troubles for users to decide which group to choose. In this paper, we propose a tensor decomposition-based group recommendation model to suggest groups to users which can help tackle this problem. The proposed model measures the latent associations between users and groups by considering both semantic tags and social relations. Experimental results show the usefulness of the proposed model.

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Cited By

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Lee JHan DKwon OChon KKim M(2024)GPUTucker: Large-Scale GPU-Based Tucker Decomposition Using Tensor PartitioningExpert Systems with Applications10.1016/j.eswa.2023.121445237(121445)Online publication date: Mar-2024
https://doi.org/10.1016/j.eswa.2023.121445
Lee JChon KKim M(2023)A GPU-based tensor decomposition method for large-scale tensors2023 IEEE International Conference on Big Data and Smart Computing (BigComp)10.1109/BigComp57234.2023.00020(77-80)Online publication date: Feb-2023
https://doi.org/10.1109/BigComp57234.2023.00020
Jiang XSun HChen YHe L(2023)KTPGN: Novel event-based group recommendation method considering implicit social trust and knowledge propagationInformation Sciences10.1016/j.ins.2023.119159(119159)Online publication date: May-2023
https://doi.org/10.1016/j.ins.2023.119159
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Index Terms

Flickr group recommendation based on tensor decomposition
1. Information systems
  1. Information systems applications
    1. Data mining

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Information

Published In

SIGIR '10: Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval

July 2010

944 pages

ISBN:9781450301534

DOI:10.1145/1835449

General Chairs:
Fabio Crestani
University of Lugano, CH
,
Stéphane Marchand-Maillet
University of Geneva, CH
,
Program Chairs:
Hsin-Hsi Chen
National Taiwan University, TW
,
Efthimis N. Efthimiadis
University of Washington, USA
,
Jacques Savoy
University of Neuchatel, CH

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 July 2010

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SIGIR '10

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SIGIR

SIGIR '10: The 33rd International ACM SIGIR conference on research and development in Information Retrieval

July 19 - 23, 2010

Geneva, Switzerland

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SIGIR '10 Paper Acceptance Rate 87 of 520 submissions, 17%;

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

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Cited By

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Lee JHan DKwon OChon KKim M(2024)GPUTucker: Large-Scale GPU-Based Tucker Decomposition Using Tensor PartitioningExpert Systems with Applications10.1016/j.eswa.2023.121445237(121445)Online publication date: Mar-2024
https://doi.org/10.1016/j.eswa.2023.121445
Lee JChon KKim M(2023)A GPU-based tensor decomposition method for large-scale tensors2023 IEEE International Conference on Big Data and Smart Computing (BigComp)10.1109/BigComp57234.2023.00020(77-80)Online publication date: Feb-2023
https://doi.org/10.1109/BigComp57234.2023.00020
Jiang XSun HChen YHe L(2023)KTPGN: Novel event-based group recommendation method considering implicit social trust and knowledge propagationInformation Sciences10.1016/j.ins.2023.119159(119159)Online publication date: May-2023
https://doi.org/10.1016/j.ins.2023.119159
Karsavuran MAcer SAykanat C(2021)Partitioning Models for General Medium-Grain Parallel Sparse Tensor DecompositionIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2020.301262432:1(147-159)Online publication date: 1-Jan-2021
https://doi.org/10.1109/TPDS.2020.3012624
Lyu XSun WWang ZLiu HYang JCheng G(2020)Tensor Graphical Model: Non-Convex Optimization and Statistical InferenceIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2019.290767942:8(2024-2037)Online publication date: 1-Aug-2020
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Ding DZhang MPan XYang MHe X(2020)Modeling Personalized Out-of-Town Distances in Location Recommendation2020 IEEE International Conference on Data Mining (ICDM)10.1109/ICDM50108.2020.00020(112-121)Online publication date: Nov-2020
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Oh SPark NJang JSael LKang U(2019)High-Performance Tucker Factorization on Heterogeneous PlatformsIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2019.290863930:10(2237-2248)Online publication date: 1-Oct-2019
https://doi.org/10.1109/TPDS.2019.2908639
Lu WChung FJiang WEster MLiu W(2018)A Deep Bayesian Tensor-Based System for Video RecommendationACM Transactions on Information Systems10.1145/323377337:1(1-22)Online publication date: 13-Dec-2018
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Xuan PTang YWang W(2018)Group Recommendation Method Based on Item Type Proportion Factor2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion)10.1109/UCC-Companion.2018.00084(376-381)Online publication date: Dec-2018
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Acer STorun TAykanat C(2018)Improving Medium-Grain Partitioning for Scalable Sparse Tensor DecompositionIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2018.284184329:12(2814-2825)Online publication date: 1-Dec-2018
https://doi.org/10.1109/TPDS.2018.2841843
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Interactive social group recommendation for Flickr photos

Flickr group recommendation based on user-generated tags and social relations via topic model

Flickr tag recommendation based on collective knowledge

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