Guibing Guo

According to our database, Guibing Guo authored at least 116 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Continual Learning From a Stream of APIs.

Enneng Yang, Zhenyi Wang, Li Shen, Nan Yin, Tongliang Liu, Guibing Guo, Xingwei Wang, Dacheng Tao

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Deconfounding User Preference in Recommendation Systems through Implicit and Explicit Feedback.

Yuliang Liang, Enneng Yang, Guibing Guo, Wei Cai, Linying Jiang, Xingwei Wang

ACM Trans. Knowl. Discov. Data, September, 2024

Multi-Scenario and Multi-Task Aware Feature Interaction for Recommendation System.

Derun Song, Enneng Yang, Guibing Guo, Li Shen, Linying Jiang, Xingwei Wang

ACM Trans. Knowl. Discov. Data, July, 2024

TiCoSeRec: Augmenting Data to Uniform Sequences by Time Intervals for Effective Recommendation.

Yizhou Dang, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Xiaoxiao Xu, Qinghui Sun, Hong Liu

IEEE Trans. Knowl. Data Eng., June, 2024

Generalized Embedding Machines for Recommender Systems.

Enneng Yang, Xin Xin, Li Shen, Yudong Luo, Guibing Guo

Mach. Intell. Res., June, 2024

PESI: Personalized Explanation recommendation with Sentiment Inconsistency between ratings and reviews.

Huiqiong Wu, Guibing Guo, Enneng Yang, Yudong Luo, Yabo Chu, Linying Jiang, Xingwei Wang

Knowl. Based Syst., January, 2024

Video and audio are images: A cross-modal mixer for original data on video-audio retrieval.

Zichen Yuan, Qi Shen, Bingyi Zheng, Yuting Liu, Linying Jiang, Guibing Guo

Knowl. Based Syst., 2024

Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging.

Li Shen, Anke Tang, Enneng Yang, Guibing Guo, Yong Luo, Lefei Zhang, Xiaochun Cao, Bo Du, Dacheng Tao

CoRR, 2024

SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery.

Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xingwei Wang, Xiaochun Cao, Jie Zhang, Dacheng Tao

CoRR, 2024

Data Augmentation for Sequential Recommendation: A Survey.

Yizhou Dang, Enneng Yang, Yuting Liu, Guibing Guo, Linying Jiang, Jianzhe Zhao, Xingwei Wang

CoRR, 2024

CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation.

Yuting Liu, Jinghao Zhang, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang

CoRR, 2024

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities.

Enneng Yang, Li Shen, Guibing Guo, Xingwei Wang, Xiaochun Cao, Jie Zhang, Dacheng Tao

CoRR, 2024

Symmetric Graph Contrastive Learning against Noisy Views for Recommendation.

Chu Zhao, Enneng Yang, Yuliang Liang, Jianzhe Zhao, Guibing Guo, Xingwei Wang

CoRR, 2024

Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation.

Chu Zhao, Enneng Yang, Yuliang Liang, Pengxiang Lan, Yuting Liu, Jianzhe Zhao, Guibing Guo, Xingwei Wang

CoRR, 2024

Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion.

Pengxiang Lan, Enneng Yang, Yuting Liu, Guibing Guo, Linying Jiang, Jianzhe Zhao, Xingwei Wang

CoRR, 2024

Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation.

Yuting Liu, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang

CoRR, 2024

Repeated Padding as Data Augmentation for Sequential Recommendation.

Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Jianzhe Zhao

CoRR, 2024

Highly accurate classification and discovery of microbial protein-coding gene functions using FunGeneTyper: an extensible deep learning framework.

Guoqing Zhang, Hui Wang, Zhiguo Zhang, Lu Zhang, Guibing Guo, Jian Yang, Fajie Yuan, Feng Ju

Briefings Bioinform., 2024

Repeated Padding for Sequential Recommendation.

Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Jianzhe Zhao

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Representation Surgery for Multi-Task Model Merging.

Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

AdaMerging: Adaptive Model Merging for Multi-Task Learning.

Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Stealthy Attack on Large Language Model based Recommendation.

Jinghao Zhang, Yuting Liu, Qiang Liu, Shu Wu, Guibing Guo, Liang Wang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

CmnRec: Sequential Recommendations With Chunk-Accelerated Memory Network.

Shilin Qu, Fajie Yuan, Guibing Guo, Liguang Zhang, Wei Wei

IEEE Trans. Knowl. Data Eng., April, 2023

ACM Conference on Recommender Systems September 18-22, 2023 at Singapore.

Yong Zheng, Hanna Hauptmann, Guibing Guo

SIGWEB Newsl., 2023

ID Embedding as Subtle Features of Content and Structure for Multimodal Recommendation.

Yuting Liu, Enneng Yang, Yizhou Dang, Guibing Guo, Qiang Liu, Yuliang Liang, Linying Jiang, Xingwei Wang

CoRR, 2023

An Efficient Dataset Condensation Plugin and Its Application to Continual Learning.

Enneng Yang, Li Shen, Zhenyi Wang, Tongliang Liu, Guibing Guo

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Basket Representation Learning by Hypergraph Convolution on Repeated Items for Next-basket Recommendation.

Yalin Yu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Meta Learning Framework for Improved Long-tail Item Recommendation.

Bingjun Qin, Zhenhua Huang, Guibing Guo

Proceedings of the 9th International Conference on Systems and Informatics, 2023

Data Augmented Flatness-aware Gradient Projection for Continual Learning.

Enneng Yang, Li Shen, Zhenyi Wang, Shiwei Liu, Guibing Guo, Xingwei Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning.

Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation.

Yizhou Dang, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Xiaoxiao Xu, Qinghui Sun, Hong Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

IPGAN: Generating Informative Item Pairs by Adversarial Sampling.

Guibing Guo, Huan Zhou, Bowei Chen, Zhirong Liu, Xiao Xu, Xu Chen, Zhenhua Dong, Xiuqiang He

IEEE Trans. Neural Networks Learn. Syst., 2022

User-based network embedding for opinion spammer detection.

Ziyang Wang, Wei Wei, Xian-Ling Mao, Guibing Guo, Pan Zhou, Sheng Jiang

Pattern Recognit., 2022

Learning compact yet accurate Generative Adversarial Networks for recommender systems.

Yu Zhao, Kuo Wang, Guibing Guo, Xingwei Wang

Knowl. Based Syst., 2022

Exploiting high-order local and global user-item interactions for effective recommendation.

Sheng Tian, Guibing Guo, Yifei Li, Yuan Liu, Xingwei Wang

Knowl. Based Syst., 2022

Bi-directional Contrastive Distillation for Multi-behavior Recommendation.

Yabo Chu, Enneng Yang, Qiang Liu, Yuting Liu, Linying Jiang, Guibing Guo

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

Target-guided Emotion-aware Chat Machine.

Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu, Shanshan Feng

ACM Trans. Inf. Syst., 2021

VSE-fs: Fast Full-Sample Visual Semantic Embedding.

Songlin Zhai, Guibing Guo, Fajie Yuan, Yuan Liu, Xingwei Wang

IEEE Intell. Syst., 2021

Adversarial Path Sampling for Recommender Systems.

Rui Ding, Bowei Chen, Guibing Guo, Xiaochun Yang

IEEE Intell. Syst., 2021

NEUer at SemEval-2021 Task 4: Complete Summary Representation by Filling Answers into Question for Matching Reading Comprehension.

Zhixiang Chen, Yikun Lei, Pai Liu, Guibing Guo

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

2020

Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations.

Hui Fang, Danning Zhang, Yiheng Shu, Guibing Guo

ACM Trans. Inf. Syst., 2020

Fast discrete factorization machine for personalized item recommendation.

Shilin Qu, Guibing Guo, Yuan Liu, Yuan Yao, Wei Wei

Knowl. Based Syst., 2020

Exploiting review embedding and user attention for item recommendation.

Yatong Sun, Guibing Guo, Xu Chen, Penghai Zhang, Xingwei Wang

Knowl. Inf. Syst., 2020

Multi-facet user preference learning for fine-grained item recommendation.

Xin Zhou, Guibing Guo, Zhu Sun, Yuan Liu

Neurocomputing, 2020

User-based Network Embedding for Collective Opinion Spammer Detection.

Ziyang Wang, Wei Wei, Xian-Ling Mao, Guibing Guo, Pan Zhou, Shanshan Feng

CoRR, 2020

Generalized Embedding Machines for Recommender Systems.

Enneng Yang, Xin Xin, Li Shen, Guibing Guo

CoRR, 2020

Multi-view visual Bayesian personalized ranking for restaurant recommendation.

Xiaoyan Zhang, Haihua Luo, Bowei Chen, Guibing Guo

Appl. Intell., 2020

Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation.

Fajie Yuan, Xiangnan He, Haochuan Jiang, Guibing Guo, Jian Xiong, Zhezhao Xu, Yilin Xiong

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

BiGAN: Collaborative Filtering with Bidirectional Generative Adversarial Networks.

Rui Ding, Guibing Guo, Xiaochun Yang, Bowei Chen, Zhirong Liu, Xiuqiang He

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Modelling Temporal Dynamics and Repeated Behaviors for Recommendation.

Xin Zhou, Zhu Sun, Guibing Guo, Yuan Liu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Convolutional Attention Model For Restaurant Recommendation With Multi-View Visual Features.

Haihua Luo, Xiaoyan Zhang, Guibing Guo

Proceedings of the IEEE International Conference on Image Processing, 2020

DSBFT: A Delegation Based Scalable Byzantine False Tolerance Consensus Mechanism.

Yuan Liu, Zhengpeng Ai, Mengmeng Tian, Guibing Guo, Linying Jiang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

Leveraging Title-Abstract Attentive Semantics for Paper Recommendation.

Guibing Guo, Bowei Chen, Xiaoyan Zhang, Zhirong Liu, Zhenhua Dong, Xiuqiang He

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Research commentary on recommendations with side information: A survey and research directions.

Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke

Electron. Commer. Res. Appl., 2019

Modeling the Past and Future Contexts for Session-based Recommendation.

Fajie Yuan, Xiangnan He, Guibing Guo, Zhezhao Xu, Jian Xiong, Xiuqiang He

CoRR, 2019

Multi-Level Coupling Network for Non-IID Sequential Recommendation.

Yatong Sun, Guibing Guo, Xiaodong He, Xiaohua Liu

IEEE Access, 2019

Image Recommendation With Reciprocal Social Influence.

Yuan Meng, Chunyan Han, Yongfeng Zhang, Yanjie Li, Guibing Guo

IEEE Access, 2019

Visual Semantic Image Recommendation.

Guibing Guo, Yuan Meng, Yongfeng Zhang, Chunyan Han, Yanjie Li

IEEE Access, 2019

A Privacy-Preserving and Robust Reputation System Based on Blockchain.

Shuai Sun, Yuan Liu, Guibing Guo

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

Discrete Trust-aware Matrix Factorization for Fast Recommendation.

Guibing Guo, Enneng Yang, Li Shen, Xiaochun Yang, Xiaodong He

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Dynamic Item Block and Prediction Enhancing Block for Sequential Recommendation.

Guibing Guo, Shichang Ouyang, Xiaodong He, Fajie Yuan, Xiaohua Liu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Deep Learning-Based Sequential Recommender Systems: Concepts, Algorithms, and Evaluations.

Hui Fang, Guibing Guo, Danning Zhang, Yiheng Shu

Proceedings of the Web Engineering - 19th International Conference, 2019

Multi-hop Path Queries over Knowledge Graphs with Neural Memory Networks.

Qinyong Wang, Hongzhi Yin, Weiqing Wang, Zi Huang, Guibing Guo, Quoc Viet Hung Nguyen

Proceedings of the Database Systems for Advanced Applications, 2019

Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction.

Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

BPRH: Bayesian personalized ranking for heterogeneous implicit feedback.

Huihuai Qiu, Yun Liu, Guibing Guo, Zhu Sun, Jie Zhang, Hai Thanh Nguyen

Inf. Sci., 2018

PCCF: Periodic and continual temporal co-factorization for recommender systems.

Guibing Guo, Feida Zhu, Shilin Qu, Xingwei Wang

Inf. Sci., 2018

Search Engine Based Proper Privacy Protection Scheme.

Guibing Guo, Tianzhi Yang, Yuan Liu

IEEE Access, 2018

IFUP: Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization.

Feida Zhu, Yongfeng Zhang, Neil Yorke-Smith, Guibing Guo, Xu Chen

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Multi-view Visual Bayesian Personalized Ranking from Implicit Feedback.

Haihua Luo, Xiaoyan Zhang, Bowei Chen, Guibing Guo

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

f_BGD: Learning Embeddings From Positive Unlabeled Data with BGD.

Fajie Yuan, Xin Xin, Xiangnan He, Guibing Guo, Weinan Zhang, Tat-Seng Chua, Jose M. Joemon

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

LFSF: Latent Factor-Based Similarity Framework and Its Application for Collaborative Recommendation.

Liangliang He, Zhenhua Tan, Guibing Guo, Qiuyun Chang, Danke Wu

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Team Expansion in Collaborative Environments.

Lun Zhao, Yuan Yao, Guibing Guo, Hanghang Tong, Feng Xu, Jian Lu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Approximating Word Ranking and Negative Sampling for Word Embedding.

Guibing Guo, Shichang Ouyang, Fajie Yuan, Xingwei Wang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling.

Guibing Guo, Songlin Zhai, Fajie Yuan, Yuan Liu, Xingwei Wang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Integrating Trust with User Preference for Effective Web Service Composition.

Hongbing Wang, Bin Zou, Guibing Guo, Danrong Yang, Jie Zhang

IEEE Trans. Serv. Comput., 2017

Factored similarity models with social trust for top-N item recommendation.

Guibing Guo, Jie Zhang, Feida Zhu, Xingwei Wang

Knowl. Based Syst., 2017

Resolving data sparsity by multi-type auxiliary implicit feedback for recommender systems.

Guibing Guo, Huihuai Qiu, Zhenhua Tan, Yuan Liu, Jing Ma, Xingwei Wang

Knowl. Based Syst., 2017

Measuring similarity of users with qualitative preferences for service selection.

Hongbing Wang, Hualan Wang, Guibing Guo, Yangyu Tang, Jie Zhang

Knowl. Inf. Syst., 2017

A Unified Latent Factor Model for Effective Category-Aware Recommendation.

Zhu Sun, Guibing Guo, Jie Zhang, Chi Xu

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

A Reputation Model Considering Repurchase Behavior and Mechanism Design to Promote Repurchase.

Yuan Liu, Jin Bai, Guibing Guo, Xingwei Wang, Zhenhua Tan

Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2017

Learning hierarchical category influence on both users and items for effective recommendation.

Zhu Sun, Guibing Guo, Jie Zhang

Proceedings of the Symposium on Applied Computing, 2017

An Identity Management System Based on Blockchain.

Yuan Liu, Zheng Zhao, Guibing Guo, Xingwei Wang, Zhenhua Tan, Shuang Wang

Proceedings of the 15th Annual Conference on Privacy, Security and Trust, 2017

BoostFM: Boosted Factorization Machines for Top-N Feature-based Recommendation.

Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang

Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017

Semi-Supervised Learning Based Fake Review Detection.

Huaxun Deng, Linfeng Zhao, Ning Luo, Yuan Liu, Guibing Guo, Xingwei Wang, Zhenhua Tan, Shuang Wang, Fucai Zhou

Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

A Reputation Model for Aggregating Ratings based on Beta Distribution Function.

Yuan Liu, Usman Shittu Chitawa, Guibing Guo, Xingwei Wang, Zhenhua Tan, Shuang Wang

Proceedings of the 2nd International Conference on Crowd Science and Engineering, 2017

Pairwise Preference Over Mixed-Type Item-Sets Based Bayesian Personalized Ranking for Collaborative Filtering.

Shan Gao, Guibing Guo, Yusong Lin, Xingjin Zhang, Yongpeng Liu, Zongmin Wang

Proceedings of the 15th IEEE Intl Conf on Dependable, 2017

2016

A Novel Evidence-Based Bayesian Similarity Measure for Recommender Systems.

Guibing Guo, Jie Zhang, Neil Yorke-Smith

ACM Trans. Web, 2016

A Novel Recommendation Model Regularized with User Trust and Item Ratings.

Guibing Guo, Jie Zhang, Neil Yorke-Smith

IEEE Trans. Knowl. Data Eng., 2016

Optimizing Factorization Machines for Top-N Context-Aware Recommendations.

Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang

Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

Effective Recommendation with Category Hierarchy.

Zhu Sun, Guibing Guo, Jie Zhang

Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

TBPR: Trinity Preference based Bayesian Personalized Ranking for Multivariate Implicit Feedback.

Hui-Huai Qiu, Guibing Guo, Jie Zhang, Zhu Sun, Hai Thanh Nguyen, Yun Liu

Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Joint Geo-Spatial Preference and Pairwise Ranking for Point-of-Interest Recommendation.

Fajie Yuan, Joemon M. Jose, Guibing Guo, Long Chen, Haitao Yu, Rami Suleiman Alkhawaldeh

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates.

Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Leveraging multiviews of trust and similarity to enhance clustering-based recommender systems.

Guibing Guo, Jie Zhang, Neil Yorke-Smith

Knowl. Based Syst., 2015

Multi-faceted trust and distrust prediction for recommender systems.

Hui Fang, Guibing Guo, Jie Zhang

Decis. Support Syst., 2015

Exploiting Implicit Item Relationships for Recommender Systems.

Zhu Sun, Guibing Guo, Jie Zhang

Proceedings of the User Modeling, Adaptation and Personalization, 2015

LibRec: A Java Library for Recommender Systems.

Guibing Guo, Jie Zhang, Zhu Sun, Neil Yorke-Smith

Proceedings of the Posters, Demos, Late-breaking Results and Workshop Proceedings of the 23rd Conference on User Modeling, Adaptation, and Personalization (UMAP 2015), Dublin, Ireland, June 29, 2015

Optimal and Effective Web Service Composition with Trust and User Preference.

Hongbing Wang, Bin Zou, Guibing Guo, Jie Zhang, Zhengping Yang

Proceedings of the 2015 IEEE International Conference on Web Services, 2015

TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings.

Guibing Guo, Jie Zhang, Neil Yorke-Smith

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Exploiting ratings and trust to resolve the data sparsity and cold start of recommender systems

Guibing Guo

PhD thesis, 2014

Merging trust in collaborative filtering to alleviate data sparsity and cold start.

Guibing Guo, Jie Zhang, Daniel Thalmann

Knowl. Based Syst., 2014

Leveraging prior ratings for recommender systems in e-commerce.

Guibing Guo, Jie Zhang, Daniel Thalmann, Neil Yorke-Smith

Electron. Commer. Res. Appl., 2014

From ratings to trust: an empirical study of implicit trust in recommender systems.

Guibing Guo, Jie Zhang, Daniel Thalmann, Anirban Basu, Neil Yorke-Smith

Proceedings of the Symposium on Applied Computing, 2014

Privacy preserving trusted social feedback.

Anirban Basu, Juan Camilo Corena, Shinsaku Kiyomoto, Stephen Marsh, Jaideep Vaidya, Guibing Guo, Jie Zhang, Yutaka Miyake

Proceedings of the Symposium on Applied Computing, 2014

ETAF: An extended trust antecedents framework for trust prediction.

Guibing Guo, Jie Zhang, Daniel Thalmann, Neil Yorke-Smith

Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013

Prior ratings: a new information source for recommender systems in e-commerce.

Guibing Guo, Jie Zhang, Daniel Thalmann, Neil Yorke-Smith

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Integrating trust and similarity to ameliorate the data sparsity and cold start for recommender systems.

Guibing Guo

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Combining Recommender and Reputation Systems to Produce Better Online Advice.

Audun Jøsang, Guibing Guo, Maria Silvia Pini, Francesco Santini, Yue Xu

Proceedings of the Modeling Decisions for Artificial Intelligence, 2013

A Novel Bayesian Similarity Measure for Recommender Systems.

Guibing Guo, Jie Zhang, Neil Yorke-Smith

Proceedings of the IJCAI 2013, 2013

Improving the Performance of Recommender Systems by Alleviating the Data Sparsity and Cold Start Problems.

Guibing Guo

Proceedings of the IJCAI 2013, 2013

Recommending Messages to Users in Social Networks: A Cross-Site Study.

Robin Cohen, Noel Sardana, Kamal Rahim, Disney Yan Lam, M. Li, O. Maccarthy, E. Woo, Jie Zhang, Guibing Guo

Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

2012

Service Selection Based on Similarity Measurement for Conditional Qualitative Preference.

Hongbing Wang, Jie Zhang, Hualan Wang, Yangyu Tang, Guibing Guo

Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

A Simple But Effective Method to Incorporate Trusted Neighbors in Recommender Systems.

Guibing Guo, Jie Zhang, Daniel Thalmann

Proceedings of the User Modeling, Adaptation, and Personalization, 2012

Resolving Data Sparsity and Cold Start in Recommender Systems.

Guibing Guo

Proceedings of the User Modeling, Adaptation, and Personalization, 2012

WCP-Nets: A Weighted Extension to CP-Nets for Web Service Selection.

Hongbing Wang, Jie Zhang, Wenlong Sun, Hongye Song, Guibing Guo, Xiang Zhou

Proceedings of the Service-Oriented Computing - 10th International Conference, 2012

2011

Improving PGP Web of Trust through the Expansion of Trusted Neighborhood.

Guibing Guo, Jie Zhang, Julita Vassileva

Proceedings of the 2011 IEEE/WIC/ACM International Conference on Web Intelligence, 2011