Publications

Journals

  1. Factored Similarity Models with Social Trust for Top-N Item Recommendation[PDF]
    G. Guo, J. Zhang, F. Zhu, X. Wang
    Knowledge-based Systems (KBS, IF: 4.529), 122, 17-25, Apr 15, 2017.
  2. Resolving Data Sparsity by Multi-type Auxiliary Implicit Feedback for Recommender Systems[PDF]
    G. Guo, H. Qiu, Z. Tan, Y. Liu, J. Ma, X. Wang
    Knowledge-based Systems (KBS, IF: 4.529), doi=10.1016/j.knosys.2017.10.005, Oct 6, 2017.
  3. Leveraging Multi-actions to Improve Medical Personalized Ranking for Collaborative Filtering[PDF]
    S. Gao, G. Guo*, R. Li, Z. Wang
    Journal of Healthcare Engineering (IF: 0.965), Oct 3, 2017.
  4. Measuring Similarity of Users with Qualitative Preferences for Service Selection
    H. Wang, H. Wang, G. Guo, Y. Tang, J. Zhang
    Knowledge and Information Systems (KIS, IF: 2.004), 51(2), 561-594, May 2017.
  5. A Novel Recommendation Model Regularized with User Trust and Item Ratings[PDF]
    G. Guo, J. Zhang, N. Yorke-Smith
    IEEE Transactions on Knowledge and Data Engineering (TKDE, IF: 3.438), 28(7), 1607-1620, 2016.
    The source codes of TrustSVD++ can be downloaded here, which is based on a previous version (v1.3) of LibRec.
    You may refer to the implementation of TrustSVD in LibRec for adapting and using TrustSVD++ in the new version.
  6. A Novel Evidence-based Bayesian Similarity Measure for Recommender Systems
    G. Guo, J. Zhang, N. Yorke-Smith
    ACM Transactions on the Web (TWEB, IF: 1.526), 10(2), 8:1-8:30, 2016.
  7. Leveraging Multiviews of Trust and Similarity to Enhance Cluster-based Recommender Systems[PDF]
    G. Guo, J. Zhang, N. Yorke-Smith
    Knowledge-Based Systems (KBS, IF: 3.325), 74(0), pp. 14-27, 2015.
  8. Multi-Faceted Trust and Distrust Prediction for Recommender Systems[PDF]
    H. Fang, G. Guo*, J. Zhang
    Decision Support Systems (DSS, IF: 2.604), 71(0), pp. 37-47, 2015.
  9. Integrating Trust with User Preference for Effective Web Service Composition
    H. Wang, B. Zou, G. Guo, J. Zhang, D. Yang
    IEEE Transactions on Services Computing (TSC, IF: 2.365), accepted, 2015.
  10. Merging Trust in Collaborative Filtering to Alleviate Data Sparsity and Cold Start[PDF]
    G. Guo, J. Zhang, D. Thalmann
    Knowledge-Based Systems (KBS, IF: 2.947), 57(0), pp. 57-68, 2014.
  11. Leveraging Prior Ratings for Recommender Systems in E-Commerce[PDF]
    G. Guo, J. Zhang, D. Thalmann, N. Yorke-Smith
    Electronic Commerce Research and Applications (ECRA, IF: 1.482), 13(6), pp. 440-455, 2014.
  12. Opinions of People: Factoring in Privacy and Trust[PDF]
    A. Basu, J. Vaidya, J.C. Corena, S. Kiyomoto, S. Marsh, G. Guo, J. Zhang, Y. Miyake
    ACM SIGAPP Applied Computing Review, 14(3), pp. 7-21, 2014.

Conferences

  1. VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling
    G. Guo, S. Zhai, F. Yuan, Y. Liu, X. Wang
    Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI), 2018.
  2. BoostFM: Boosted Factorization Machines for Top-N Feature-based Recommendation
    F. Yuan, G. Guo, J. Jose, L. Chen, H. Yu, W. Zhang
    Proceedings of the 22nd Annual Meeting of the Intelligent User Interfaces Community and Serves (IUI), 2017.
  3. Learning Hierarchical Category Influence on both Users and Items for Effective Recommendation
    Z. Sun, G. Guo, J. Zhang
    Proceedings of the 32nd ACM Symposium On Applied Computing (SAC), 2017.
  4. A Unified Latent Factor Model for Effective Category-Aware Recommendation
    Z. Sun, G. Guo, J. Zhang, C. Xu
    Proceedings of the 25th International Conference on User Modeling, Adaptation and Personalization (UMAP), 2017. (extended abstract)
  5. An Identity Management System Based on Blockchain
    Y. Liu, Z. Zhao, G. Guo, X. Wang, Z. Tan, S. Wang
    Proceedings of the 15th International Conference on Privacy, Security and Trust (PST), 2017
  6. A Reputation Model for Aggregating Ratings based on Beta Distribution Function
    Y. Liu, U. S. Chitawa, G. Guo, X. Wang, Z. Tan, S. Wang
    Proceedings of the 2nd International Conference on Crowd Science and Engineering (ICCSE), pp. 77-81, 2017
  7. LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates
    F. Yuan, G. Guo, J. Jose, W. Zhang, L. Chen, H. Yu
    Proceedings of the 25th ACM International Conference on Information and Knowledge Management (CIKM, 165/935=17.65%), pp. 227-236, 2016.
  8. Optimizing Factorization Machines for Top-N Context-Aware Recommendations
    F. Yuan, G. Guo, J. Jose, W. Zhang, L. Chen, H. Yu
    Proceedings of the 17th International Conference on Web Information Systems Engineering (WISE), pp. 278-293, 2016.
  9. Joint Geo-Spatial Preference and Pairwise Ranking for Point-of-Interest Recommendation
    F. Yuan, J. Jose, G. Guo, L. Chen, H. Yu, R. Alkhawaldeh
    Proceedings of the 28th International Conference on Tools with Artificial Intelligence (ICTAI), 2016. (best student paper)
  10. Effective Recommendation with Category Hierarchy
    Z. Sun, G. Guo, J. Zhang
    Proceedings of the 24th International Conference on User Modeling, Adaptation and Personalization (UMAP), 2016. (extended abstract)
  11. TBPR: Trinity Preference based Bayesian Personalized Ranking for Multivariate Implicit Feedback
    H. Qiu, G. Guo, J. Zhang, H. Nguyen, Z. Sun, Y. Liu
    Proceedings of the 24th International Conference on User Modeling, Adaptation and Personalization (UMAP), 2016. (extended abstract)
  12. TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings[PDF, Code]
    G. Guo, J. Zhang, N. Yorke-Smith
    Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI, acceptance rate: 26.67%), 2015.
  13. LibRec: A Java Library for Recommender Systems[PDF, Code]
    G. Guo, J. Zhang, Z. Sun, N. Yorke-Smith
    Proceedings of the 23rd International Conference on User Modeling, Adaptation and Personalization (UMAP), 2015. (demo paper)
  14. Exploiting Implicit Item Relationships for Recommender Systems[PDF]
    Z. Sun, G. Guo, J. Zhang
    Proceedings of the 23rd International Conference on User Modeling, Adaptation and Personalization (UMAP), 2015.
  15. Optimal and Effective Web Service Composition with Trust and User Preference
    H. Wang, B. Zou, G. Guo, J. Zhang, Z. Yang
    Proceedings of the 22nd IEEE International Conference on Web Services (ICWS, acceptance rate: 20%), pp. 329-336, 2015.
  16. ETAF: An Extended Trust Antecedents Framework for Trust Prediction[PDF, Slides]
    G. Guo, J. Zhang, D. Thalmann, N. Yorke-Smith
    Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM, acceptance rate: 18%), pp. 540-547, 2014.
  17. From Ratings to Trust: an Empirical Study of Implicit Trust in Recommender Systems[PDF, Slides]
    G. Guo, J. Zhang, D. Thalmann, A. Basu, N. Yorke-Smith
    Proceedings of the 29th ACM Symposium on Applied Computing (SAC), pp. 248-253, 2014.
  18. Privacy Preserving Trusted Social Feedback[PDF]
    A. Basu, J.C. Corena, S. Kiyomoto, S. Marsh, J. Vaidya, G. Guo, J. Zhang, Y. Miyake
    Proceedings of the 29th ACM Symposium on Applied Computing (SAC), pp. 1706-1711, 2014.
  19. A Hybrid Recommender System based on Material Concepts with Difficulty Levels[PDF]
    G. Guo, M. H. Anjorin, B. S. Lee
    Proceedings of the 21st International Conference on Computers in Education (ICCE), pp. 90-96, 2013.
  20. Combining Recommender and Reputation Systems to Produce Better Online Advice[PDF]
    A. Josang, G. Guo, M. S. Pini, F. Santini, Y. Xu
    Proceedings of the 10th International Conference on Modeling Decisions for Artificial Intelligence (MDAI), pp. 126-138, 2013.
  21. Prior Ratings: A New Information Source for Recommender Systems in E-Commerce[PDF, Poster]
    G. Guo, J. Zhang, D. Thalmann, N. Yorke-Smith
    Proceedings of the 7th ACM Conference on Recommender Systems (RecSys), pp. 383-386, 2013.
  22. Integrating Trust and Similarity to Ameliorate the Data Sparsity and Cold Start for Recommender Systems[PDF, Slides]
    G. Guo
    Proceedings of the 7th ACM Conference on Recommender Systems (RecSys), pp. 451-454, 2013.
  23. A Novel Bayesian Similarity Measure for Recommender Systems[PDF, Poster, Code]
    G. Guo, J. Zhang, N. Yorke-Smith
    Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), pp. 2619-2625, 2013.
    Note: Although the code is dependent on an obsolete package, the implementation logic may be still useful for some others. We may integrate the Bayesian similarity into LibRec some time.
  24. Improving the Performance of Recommender Systems by Alleviating the Data Sparsity and Cold Start Problems[PDF]
    G. Guo
    Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), pp. 3217-3218, 2013.
  25. A New Recommender System for 3D E-Commerce: An EEG Based Approach[PDF]
    G. Guo, M. Elgendi
    Proceedings of the 2013 International Conference on Innovation and Information Management (ICIIM), pp. 61-65, 2013.
  26. A Simple but Effective Method to Incorporate Trusted Neighbors in Recommender Systems[PDF]
    G. Guo, J. Zhang, D. Thalmann
    Proceedings of the 20th International Conference on User Modeling, Adaptation and Personalization (UMAP), pp. 114-125, 2012.
  27. Resolving Data Sparsity and Cold Start in Recommender Systems[PDF]
    G. Guo
    Proceedings of the 20th International Conference on User Modeling, Adaptation and Personalization (UMAP), pp. 361-364, 2012.
  28. WCP-nets: A Weighted Extension to CP-nets for Web Service Selection[PDF]
    H. Wang, J. Zhang, W. Sun, H. Song, G. Guo, X. Zhou
    Proceedings of the 10th International Conference on Service Oriented Computing (ICSOC), pp. 298-312, 2012.
  29. Service Selection based on Similarity Measurement for Conditional Qualitative Preference[PDF]
    H. Wang, J. Zhang, H. Wang, Y. Tang, G. Guo
    Proceedings of the 2012 IEEE/WIC/ACM International Conference on Web Intelligence (WI), pp. 612-619, 2012.
  30. Improving PGP Web of Trust through the Expansion of Trusted Neighborhood[PDF, Slides]
    G. Guo, J. Zhang, J. Vassileva
    Proceedings of the 2011 IEEE/WIC/ACM International Conference on Web Intelligence (WI), pp. 489-494, 2011.

Workshops

  1. Preface: Papers and Research from the 2016 International Workshop IFUP[PDF]
    G. Guo, R. Burke, F. Zhu, N. Yorke-Smith
    Proceedings of the 2016 International Workshop on Multi-dimension Information Fusion for User Modeling and Personalisation (UMAP IFUP), 2016.
  2. Reducing Information Overload in Social Networks through Streamlined Presentation: a Study of Content-centric and Person-centric Contexts[PDF]
    R. Cohen, N. Sardana, K. Rahim, D.Y. Lam, M. Li, O. Maccarthy, E. Woo, G. Guo
    Proceedings of the 3rd International Workshop on Incentives and Trust in E-Commerce (AAAI WIT-EC), 2014.
  3. Qualitative and Quantitative Preferences Based Web Service Composition by Integrating with Trust
    H. Wang, B. Zou, G. Guo
    Proceedings of the 2nd International Workshop on Incentives and Trust in E-Commerce (IJCAI WIT-EC), 2013.
  4. Recommending Messages to Users in Social Networks: a Cross-Site Study[PDF]
    R. Cohen, N. Sardana, K. Rahim, D. Y. Lam, M. Li, O. Maccarthy, E. Woo, J. Zhang, G. Guo
    Proceedings of the 12th International Conference on Machine Learning and Applications (ICMLA Bigdata), pp. 445-450, 2013.

Reports

  1. Exploiting Ratings and Trust to Resolve the Data Sparsity and Cold Start of Recommender Systems
    G. Guo
    Ph.D Thesis, School of Computer Engineering, Nanyang Technological University, 2014.

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