[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1145/2983323.2983874acmconferencesArticle/Chapter ViewAbstractPublication PagescikmConference Proceedingsconference-collections
short-paper

Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling

Published: 24 October 2016 Publication History

Abstract

With the rapid growth of social tagging systems, many efforts have been put on tag-aware personalized recommendation. However, due to uncontrolled vocabularies, social tags are usually redundant, sparse, and ambiguous. In this paper, we propose a deep neural network approach to solve this problem by mapping both the tag-based user and item profiles to an abstract deep feature space, where the deep-semantic similarities between users and their target items (resp., irrelevant items) are maximized (resp., minimized). Due to huge numbers of online items, the training of this model is usually computationally expensive in the real-world context. Therefore, we introduce negative sampling, which significantly increases the model's training efficiency (109.6 times quicker) and ensures the scalability in practice. Experimental results show that our model can significantly outperform the state-of-the-art baselines in tag-aware personalized recommendation: e.g., its mean reciprocal rank is between 5.7 and 16.5 times better than the baselines.

References

[1]
M. R. Bouadjenek, H. Hacid, M. Bouzeghoub, and A. Vakali. Using social annotations to enhance document representation for personalized search. In SIGIR, 2013.
[2]
I. Cantador, A. Bellogın, and D. Vallet. Content-based recommendation in social tagging systems. In RecSys, 2010.
[3]
I. Cantador, P. Brusilovsky, and T. Kuflik. Second Workshop on Information Heterogeneity and Fusion in Recommender Systems (HetRec2011). In RecSys, 2011.
[4]
A. M. Elkahky, Y. Song, and X. He. A multi-view deep learning approach for cross domain user modeling in recommendation systems. In WWW, 2015.
[5]
A. Hotho, R. J\"aschke, C. Schmitz, and G. Stumme. Information retrieval in folksonomies: Search and ranking. In ESWC, 2006.
[6]
P.-S. Huang, X. He, J. Gao, L. Deng, A. Acero, and L. Heck. Learning deep structured semantic models for web search using clickthrough data. In CIKM, 2013.
[7]
T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean. Distributed representations of words and phrases and their compositionality. In NIPS, 2013.
[8]
A. Shepitsen, J. Gemmell, B. Mobasher, and R. Burke. Personalized recommendation in social tagging systems using hierarchical clustering. In RecSys, 2008.
[9]
K. H. Tso-Sutter, L. B. Marinho, and L. Schmidt-Thieme. Tag-aware recommender systems by fusion of collaborative filtering algorithms. In SAC, 2008.
[10]
Y. Zuo, J. Zeng, M. Gong, and L. Jiao. Tag-aware recommender systems based on deep neural networks. Neurocomputing, 2016.

Cited By

View all
  • (2024)AMIR: An Automated Misinformation Rebuttal System—A COVID-19 Vaccination Datasets-Based ExpositionIEEE Transactions on Computational Social Systems10.1109/TCSS.2024.342952611:6(7723-7733)Online publication date: Dec-2024
  • (2023)DTGCF: Diversified Tag-Aware Recommendation with Graph Collaborative FilteringApplied Sciences10.3390/app1305294513:5(2945)Online publication date: 24-Feb-2023
  • (2023)TRAL: A Tag-Aware Recommendation Algorithm Based on Attention LearningApplied Sciences10.3390/app1302081413:2(814)Online publication date: 6-Jan-2023
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
CIKM '16: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management
October 2016
2566 pages
ISBN:9781450340731
DOI:10.1145/2983323
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]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 October 2016

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. deep neural network
  2. deep-semantic similarity
  3. negative sampling
  4. tag-aware personalized recommendation

Qualifiers

  • Short-paper

Funding Sources

  • UK EPSRC

Conference

CIKM'16
Sponsor:
CIKM'16: ACM Conference on Information and Knowledge Management
October 24 - 28, 2016
Indiana, Indianapolis, USA

Acceptance Rates

CIKM '16 Paper Acceptance Rate 160 of 701 submissions, 23%;
Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

Upcoming Conference

CIKM '25

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)29
  • Downloads (Last 6 weeks)6
Reflects downloads up to 11 Dec 2024

Other Metrics

Citations

Cited By

View all
  • (2024)AMIR: An Automated Misinformation Rebuttal System—A COVID-19 Vaccination Datasets-Based ExpositionIEEE Transactions on Computational Social Systems10.1109/TCSS.2024.342952611:6(7723-7733)Online publication date: Dec-2024
  • (2023)DTGCF: Diversified Tag-Aware Recommendation with Graph Collaborative FilteringApplied Sciences10.3390/app1305294513:5(2945)Online publication date: 24-Feb-2023
  • (2023)TRAL: A Tag-Aware Recommendation Algorithm Based on Attention LearningApplied Sciences10.3390/app1302081413:2(814)Online publication date: 6-Jan-2023
  • (2023)Graph-Based Recommendation System Enhanced by Community DetectionScientific Programming10.1155/2023/50737692023Online publication date: 1-Jan-2023
  • (2023)A Feature-Based Coalition Game Framework with Privileged Knowledge Transfer for User-tag Profile ModelingProceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining10.1145/3580305.3599761(5739-5749)Online publication date: 6-Aug-2023
  • (2023)C-DeepTrust: A Context-Aware Deep Trust Prediction Model in Online Social NetworksIEEE Transactions on Neural Networks and Learning Systems10.1109/TNNLS.2021.310794834:6(2767-2780)Online publication date: Jun-2023
  • (2023)A Tag-aware Recommendation Algorithm Based on Deep Learning and Multi-objective Optimization2023 International Conference on Pattern Recognition, Machine Vision and Intelligent Algorithms (PRMVIA)10.1109/PRMVIA58252.2023.00013(42-46)Online publication date: Mar-2023
  • (2023)Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation2023 IEEE 39th International Conference on Data Engineering (ICDE)10.1109/ICDE55515.2023.00090(1112-1125)Online publication date: Apr-2023
  • (2023)A fairness-aware graph contrastive learning recommender framework for social tagging systemsInformation Sciences: an International Journal10.1016/j.ins.2023.119064640:COnline publication date: 11-Jul-2023
  • (2023)Dynamic negative sampling for recommendation with feature matchingMultimedia Tools and Applications10.1007/s11042-023-17521-083:16(49749-49766)Online publication date: 4-Nov-2023
  • Show More Cited By

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media