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2020 – today
- 2024
[j39]Guoqing Zhang, Hui Wang, Zhiguo Zhang, Lu Zhang
, Guibing Guo, Jian Yang, Fajie Yuan, Feng Ju:
Highly accurate classification and discovery of microbial protein-coding gene functions using FunGeneTyper: an extensible deep learning framework. Briefings Bioinform. 25(4) (2024)- [j38]Enneng Yang, Xin Xin, Li Shen, Yudong Luo, Guibing Guo:
Generalized Embedding Machines for Recommender Systems. Mach. Intell. Res. 21(3): 571-584 (2024) - [j37]Huiqiong Wu, Guibing Guo, Enneng Yang, Yudong Luo, Yabo Chu, Linying Jiang, Xingwei Wang:
PESI: Personalized Explanation recommendation with Sentiment Inconsistency between ratings and reviews. Knowl. Based Syst. 283: 111133 (2024) - [j36]Zichen Yuan, Qi Shen, Bingyi Zheng, Yuting Liu, Linying Jiang, Guibing Guo:
Video and audio are images: A cross-modal mixer for original data on video-audio retrieval. Knowl. Based Syst. 299: 112076 (2024) - [j35]Enneng Yang, Zhenyi Wang, Li Shen, Nan Yin, Tongliang Liu, Guibing Guo, Xingwei Wang, Dacheng Tao:
Continual Learning From a Stream of APIs. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11432-11445 (2024) - [j34]Derun Song, Enneng Yang, Guibing Guo, Li Shen, Linying Jiang, Xingwei Wang:
Multi-Scenario and Multi-Task Aware Feature Interaction for Recommendation System. ACM Trans. Knowl. Discov. Data 18(6): 142:1-142:20 (2024) - [j33]Yuliang Liang, Enneng Yang, Guibing Guo, Wei Cai, Linying Jiang, Xingwei Wang:
Deconfounding User Preference in Recommendation Systems through Implicit and Explicit Feedback. ACM Trans. Knowl. Discov. Data 18(8): 198:1-198:18 (2024) - [j32]Yizhou Dang, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Xiaoxiao Xu, Qinghui Sun, Hong Liu:
TiCoSeRec: Augmenting Data to Uniform Sequences by Time Intervals for Effective Recommendation. IEEE Trans. Knowl. Data Eng. 36(6): 2686-2700 (2024) - [c62]Jinghao Zhang, Yuting Liu, Qiang Liu, Shu Wu, Guibing Guo, Liang Wang:
Stealthy Attack on Large Language Model based Recommendation. ACL (1) 2024: 5839-5857 - [c61]Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao:
AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR 2024 - [c60]Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao:
Representation Surgery for Multi-Task Model Merging. ICML 2024 - [c59]Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Jianzhe Zhao:
Repeated Padding for Sequential Recommendation. RecSys 2024: 497-506 - [i28]Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao:
Representation Surgery for Multi-Task Model Merging. CoRR abs/2402.02705 (2024) - [i27]Jinghao Zhang, Yuting Liu, Qiang Liu, Shu Wu, Guibing Guo, Liang Wang:
Stealthy Attack on Large Language Model based Recommendation. CoRR abs/2402.14836 (2024) - [i26]Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Jianzhe Zhao:
Repeated Padding as Data Augmentation for Sequential Recommendation. CoRR abs/2403.06372 (2024) - [i25]Yuting Liu, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang:
Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation. CoRR abs/2403.08246 (2024) - [i24]Pengxiang Lan, Enneng Yang, Yuting Liu, Guibing Guo, Linying Jiang, Jianzhe Zhao, Xingwei Wang:
Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion. CoRR abs/2405.11464 (2024) - [i23]Chu Zhao, Enneng Yang, Yuliang Liang, Pengxiang Lan, Yuting Liu, Jianzhe Zhao, Guibing Guo, Xingwei Wang:
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation. CoRR abs/2408.00490 (2024) - [i22]Chu Zhao, Enneng Yang, Yuliang Liang, Jianzhe Zhao, Guibing Guo, Xingwei Wang:
Symmetric Graph Contrastive Learning against Noisy Views for Recommendation. CoRR abs/2408.02691 (2024) - [i21]Enneng Yang, Li Shen, Guibing Guo, Xingwei Wang, Xiaochun Cao, Jie Zhang, Dacheng Tao:
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. CoRR abs/2408.07666 (2024) - [i20]Yuting Liu, Jinghao Zhang, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang:
CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation. CoRR abs/2408.10645 (2024) - [i19]Yizhou Dang, Enneng Yang, Yuting Liu, Guibing Guo, Linying Jiang, Jianzhe Zhao, Xingwei Wang:
Data Augmentation for Sequential Recommendation: A Survey. CoRR abs/2409.13545 (2024) - [i18]Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xingwei Wang, Xiaochun Cao, Jie Zhang, Dacheng Tao:
SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery. CoRR abs/2410.14389 (2024) - [i17]Li Shen, Anke Tang, Enneng Yang, Guibing Guo, Yong Luo, Lefei Zhang, Xiaochun Cao, Bo Du, Dacheng Tao:
Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging. CoRR abs/2410.21804 (2024) - 2023
- [j31]Yong Zheng, Hanna Hauptmann, Guibing Guo:
ACM Conference on Recommender Systems September 18-22, 2023 at Singapore. SIGWEB Newsl. 2023(Summer): 2:1-2:4 (2023) - [j30]Shilin Qu, Fajie Yuan, Guibing Guo, Liguang Zhang, Wei Wei:
CmnRec: Sequential Recommendations With Chunk-Accelerated Memory Network. IEEE Trans. Knowl. Data Eng. 35(4): 3540-3550 (2023) - [c58]Yizhou Dang, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Xiaoxiao Xu, Qinghui Sun, Hong Liu:
Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation. AAAI 2023: 4225-4232 - [c57]Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo:
AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. AAAI 2023: 10745-10753 - [c56]Enneng Yang, Li Shen, Zhenyi Wang, Shiwei Liu, Guibing Guo, Xingwei Wang:
Data Augmented Flatness-aware Gradient Projection for Continual Learning. ICCV 2023: 5607-5616 - [c55]Bingjun Qin, Zhenhua Huang, Guibing Guo:
Meta Learning Framework for Improved Long-tail Item Recommendation. ICSAI 2023: 1-6 - [c54]Yalin Yu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang:
Basket Representation Learning by Hypergraph Convolution on Repeated Items for Next-basket Recommendation. IJCAI 2023: 2415-2422 - [c53]Enneng Yang, Li Shen, Zhenyi Wang, Tongliang Liu, Guibing Guo:
An Efficient Dataset Condensation Plugin and Its Application to Continual Learning. NeurIPS 2023 - [i16]Zichen Yuan, Qi Shen, Bingyi Zheng, Yuting Liu, Linying Jiang, Guibing Guo:
Video and Audio are Images: A Cross-Modal Mixer for Original Data on Video-Audio Retrieval. CoRR abs/2308.13820 (2023) - [i15]Enneng Yang, Zhenyi Wang, Li Shen, Nan Yin, Tongliang Liu, Guibing Guo, Xingwei Wang, Dacheng Tao:
Continual Learning From a Stream of APIs. CoRR abs/2309.00023 (2023) - [i14]Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao:
AdaMerging: Adaptive Model Merging for Multi-Task Learning. CoRR abs/2310.02575 (2023) - [i13]Yuting Liu, Enneng Yang, Yizhou Dang, Guibing Guo, Qiang Liu, Yuliang Liang, Linying Jiang, Xingwei Wang:
ID Embedding as Subtle Features of Content and Structure for Multimodal Recommendation. CoRR abs/2311.05956 (2023) - 2022
- [j29]Sheng Tian, Guibing Guo, Yifei Li, Yuan Liu, Xingwei Wang:
Exploiting high-order local and global user-item interactions for effective recommendation. Knowl. Based Syst. 246: 108618 (2022) - [j28]Yu Zhao, Kuo Wang, Guibing Guo, Xingwei Wang:
Learning compact yet accurate Generative Adversarial Networks for recommender systems. Knowl. Based Syst. 257: 109900 (2022) - [j27]Ziyang Wang, Wei Wei, Xian-Ling Mao, Guibing Guo, Pan Zhou, Sheng Jiang:
User-based network embedding for opinion spammer detection. Pattern Recognit. 125: 108512 (2022) - [j26]Guibing Guo, Huan Zhou, Bowei Chen, Zhirong Liu, Xiao Xu, Xu Chen, Zhenhua Dong, Xiuqiang He:
IPGAN: Generating Informative Item Pairs by Adversarial Sampling. IEEE Trans. Neural Networks Learn. Syst. 33(2): 694-706 (2022) - [c52]Yabo Chu, Enneng Yang, Qiang Liu, Yuting Liu, Linying Jiang, Guibing Guo:
Bi-directional Contrastive Distillation for Multi-behavior Recommendation. ECML/PKDD (1) 2022: 491-507 - [i12]Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo:
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning. CoRR abs/2211.15055 (2022) - [i11]Yizhou Dang, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Xiaoxiao Xu, Qinghui Sun, Hong Liu:
Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation. CoRR abs/2212.08262 (2022) - 2021
- [j25]Songlin Zhai, Guibing Guo, Fajie Yuan, Yuan Liu, Xingwei Wang:
VSE-fs: Fast Full-Sample Visual Semantic Embedding. IEEE Intell. Syst. 36(4): 3-12 (2021) - [j24]Rui Ding, Bowei Chen, Guibing Guo, Xiaochun Yang:
Adversarial Path Sampling for Recommender Systems. IEEE Intell. Syst. 36(6): 23-31 (2021) - [j23]Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu, Shanshan Feng:
Target-guided Emotion-aware Chat Machine. ACM Trans. Inf. Syst. 39(4): 43:1-43:24 (2021) - [c51]Zhixiang Chen, Yikun Lei, Pai Liu, Guibing Guo:
NEUer at SemEval-2021 Task 4: Complete Summary Representation by Filling Answers into Question for Matching Reading Comprehension. SemEval@ACL/IJCNLP 2021: 827-832 - [i10]Zhixiang Chen, Yikun Lei, Pai Liu, Guibing Guo:
NEUer at SemEval-2021 Task 4: Complete Summary Representation by Filling Answers into Question for Matching Reading Comprehension. CoRR abs/2105.12051 (2021) - [i9]Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu:
Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction. CoRR abs/2106.03044 (2021) - 2020
- [j22]Xiaoyan Zhang, Haihua Luo, Bowei Chen, Guibing Guo:
Multi-view visual Bayesian personalized ranking for restaurant recommendation. Appl. Intell. 50(9): 2901-2915 (2020) - [j21]Xin Zhou, Guibing Guo, Zhu Sun, Yuan Liu:
Multi-facet user preference learning for fine-grained item recommendation. Neurocomputing 385: 258-268 (2020) - [j20]Yatong Sun, Guibing Guo, Xu Chen, Penghai Zhang, Xingwei Wang:
Exploiting review embedding and user attention for item recommendation. Knowl. Inf. Syst. 62(8): 3015-3038 (2020) - [j19]Shilin Qu, Guibing Guo, Yuan Liu, Yuan Yao, Wei Wei:
Fast discrete factorization machine for personalized item recommendation. Knowl. Based Syst. 193: 105470 (2020) - [j18]Hui Fang, Danning Zhang, Yiheng Shu, Guibing Guo:
Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations. ACM Trans. Inf. Syst. 39(1): 10:1-10:42 (2020) - [c50]Guibing Guo, Bowei Chen, Xiaoyan Zhang, Zhirong Liu, Zhenhua Dong, Xiuqiang He:
Leveraging Title-Abstract Attentive Semantics for Paper Recommendation. AAAI 2020: 67-74 - [c49]Yuan Liu, Zhengpeng Ai, Mengmeng Tian, Guibing Guo, Linying Jiang:
DSBFT: A Delegation Based Scalable Byzantine False Tolerance Consensus Mechanism. ICA3PP (3) 2020: 426-440 - [c48]Haihua Luo, Xiaoyan Zhang, Guibing Guo:
Convolutional Attention Model For Restaurant Recommendation With Multi-View Visual Features. ICIP 2020: 838-842 - [c47]Xin Zhou, Zhu Sun, Guibing Guo, Yuan Liu:
Modelling Temporal Dynamics and Repeated Behaviors for Recommendation. PAKDD (1) 2020: 181-193 - [c46]Rui Ding, Guibing Guo, Xiaochun Yang, Bowei Chen, Zhirong Liu, Xiuqiang He:
BiGAN: Collaborative Filtering with Bidirectional Generative Adversarial Networks. SDM 2020: 82-90 - [c45]Fajie Yuan, Xiangnan He, Haochuan Jiang, Guibing Guo, Jian Xiong, Zhezhao Xu, Yilin Xiong:
Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation. WWW 2020: 303-313 - [i8]Enneng Yang, Xin Xin, Li Shen, Guibing Guo:
Generalized Embedding Machines for Recommender Systems. CoRR abs/2002.06561 (2020) - [i7]Shilin Qu, Fajie Yuan, Guibing Guo, Liguang Zhang, Wei Wei:
CmnRec: Sequential Recommendations with Chunk-accelerated Memory Network. CoRR abs/2004.13401 (2020) - [i6]Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu, Shanshan Feng:
Target Guided Emotion Aware Chat Machine. CoRR abs/2011.07432 (2020) - [i5]Ziyang Wang, Wei Wei, Xian-Ling Mao, Guibing Guo, Pan Zhou, Shanshan Feng:
User-based Network Embedding for Collective Opinion Spammer Detection. CoRR abs/2011.07783 (2020)
2010 – 2019
- 2019
- [j17]Guibing Guo, Yuan Meng, Yongfeng Zhang, Chunyan Han, Yanjie Li:
Visual Semantic Image Recommendation. IEEE Access 7: 33424-33433 (2019) - [j16]Yuan Meng, Chunyan Han, Yongfeng Zhang, Yanjie Li, Guibing Guo:
Image Recommendation With Reciprocal Social Influence. IEEE Access 7: 132279-132285 (2019) - [j15]Yatong Sun, Guibing Guo, Xiaodong He, Xiaohua Liu:
Multi-Level Coupling Network for Non-IID Sequential Recommendation. IEEE Access 7: 186247-186259 (2019) - [j14]Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke:
Research commentary on recommendations with side information: A survey and research directions. Electron. Commer. Res. Appl. 37 (2019) - [c44]Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu:
Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction. CIKM 2019: 1401-1410 - [c43]Qinyong Wang, Hongzhi Yin, Weiqing Wang, Zi Huang, Guibing Guo, Quoc Viet Hung Nguyen:
Multi-hop Path Queries over Knowledge Graphs with Neural Memory Networks. DASFAA (1) 2019: 777-794 - [c42]Hui Fang, Guibing Guo, Danning Zhang, Yiheng Shu:
Deep Learning-Based Sequential Recommender Systems: Concepts, Algorithms, and Evaluations. ICWE 2019: 574-577 - [c41]Guibing Guo, Shichang Ouyang, Xiaodong He, Fajie Yuan, Xiaohua Liu:
Dynamic Item Block and Prediction Enhancing Block for Sequential Recommendation. IJCAI 2019: 1373-1379 - [c40]Guibing Guo, Enneng Yang, Li Shen, Xiaochun Yang, Xiaodong He:
Discrete Trust-aware Matrix Factorization for Fast Recommendation. IJCAI 2019: 1380-1386 - [c39]Shuai Sun, Yuan Liu, Guibing Guo:
A Privacy-Preserving and Robust Reputation System Based on Blockchain. ISPA/BDCloud/SocialCom/SustainCom 2019: 634-639 - [i4]Hui Fang, Danning Zhang, Yiheng Shu, Guibing Guo:
Deep Learning-based Sequential Recommender Systems: Concepts, Algorithms, and Evaluations. CoRR abs/1905.01997 (2019) - [i3]Fajie Yuan, Xiangnan He, Guibing Guo, Zhezhao Xu, Jian Xiong, Xiuqiang He:
Modeling the Past and Future Contexts for Session-based Recommendation. CoRR abs/1906.04473 (2019) - [i2]Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke:
Research Commentary on Recommendations with Side Information: A Survey and Research Directions. CoRR abs/1909.12807 (2019) - 2018
- [j13]Guibing Guo, Tianzhi Yang, Yuan Liu:
Search Engine Based Proper Privacy Protection Scheme. IEEE Access 6: 78551-78558 (2018) - [j12]Guibing Guo, Feida Zhu, Shilin Qu, Xingwei Wang:
PCCF: Periodic and continual temporal co-factorization for recommender systems. Inf. Sci. 436-437: 56-73 (2018) - [j11]Huihuai Qiu, Yun Liu, Guibing Guo, Zhu Sun, Jie Zhang, Hai Thanh Nguyen:
BPRH: Bayesian personalized ranking for heterogeneous implicit feedback. Inf. Sci. 453: 80-98 (2018) - [c38]Guibing Guo, Songlin Zhai, Fajie Yuan, Yuan Liu, Xingwei Wang:
VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling. AAAI 2018: 290-297 - [c37]Guibing Guo, Shichang Ouyang, Fajie Yuan, Xingwei Wang:
Approximating Word Ranking and Negative Sampling for Word Embedding. IJCAI 2018: 4092-4098 - [c36]Lun Zhao, Yuan Yao, Guibing Guo, Hanghang Tong, Feng Xu, Jian Lu:
Team Expansion in Collaborative Environments. PAKDD (3) 2018: 713-725 - [c35]Liangliang He, Zhenhua Tan, Guibing Guo, Qiuyun Chang, Danke Wu:
LFSF: Latent Factor-Based Similarity Framework and Its Application for Collaborative Recommendation. PCM (1) 2018: 744-754 - [c34]Fajie Yuan, Xin Xin, Xiangnan He, Guibing Guo, Weinan Zhang, Tat-Seng Chua, Joemon M. Jose:
fBGD: Learning Embeddings From Positive Unlabeled Data with BGD. UAI 2018: 198-207 - [c33]Haihua Luo, Xiaoyan Zhang, Bowei Chen, Guibing Guo:
Multi-view Visual Bayesian Personalized Ranking from Implicit Feedback. UMAP 2018: 361-362 - [c32]Feida Zhu, Yongfeng Zhang, Neil Yorke-Smith, Guibing Guo, Xu Chen:
IFUP: Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization. WSDM 2018: 804-805 - [i1]Guibing Guo, Songlin Zhai, Fajie Yuan, Yuan Liu, Xingwei Wang:
VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling. CoRR abs/1801.01632 (2018) - 2017
- [j10]Hongbing Wang, Hualan Wang, Guibing Guo, Yangyu Tang, Jie Zhang:
Measuring similarity of users with qualitative preferences for service selection. Knowl. Inf. Syst. 51(2): 561-594 (2017) - [j9]Guibing Guo, Jie Zhang, Feida Zhu, Xingwei Wang:
Factored similarity models with social trust for top-N item recommendation. Knowl. Based Syst. 122: 17-25 (2017) - [j8]Guibing Guo, Huihuai Qiu, Zhenhua Tan, Yuan Liu, Jing Ma, Xingwei Wang:
Resolving data sparsity by multi-type auxiliary implicit feedback for recommender systems. Knowl. Based Syst. 138: 202-207 (2017) - [j7]Hongbing Wang, Bin Zou, Guibing Guo, Danrong Yang, Jie Zhang:
Integrating Trust with User Preference for Effective Web Service Composition. IEEE Trans. Serv. Comput. 10(4): 574-588 (2017) - [c31]Shan Gao, Guibing Guo, Yusong Lin, Xingjin Zhang, Yongpeng Liu, Zongmin Wang:
Pairwise Preference Over Mixed-Type Item-Sets Based Bayesian Personalized Ranking for Collaborative Filtering. DASC/PiCom/DataCom/CyberSciTech 2017: 30-37 - [c30]Yuan Liu, Usman Shittu Chitawa, Guibing Guo, Xingwei Wang, Zhenhua Tan, Shuang Wang:
A Reputation Model for Aggregating Ratings based on Beta Distribution Function. ICCSE 2017: 77-81 - [c29]Huaxun Deng, Linfeng Zhao, Ning Luo, Yuan Liu, Guibing Guo, Xingwei Wang, Zhenhua Tan, Shuang Wang, Fucai Zhou:
Semi-Supervised Learning Based Fake Review Detection. ISPA/IUCC 2017: 1278-1280 - [c28]Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang:
BoostFM: Boosted Factorization Machines for Top-N Feature-based Recommendation. IUI 2017: 45-54 - [c27]Yuan Liu, Zheng Zhao, Guibing Guo, Xingwei Wang, Zhenhua Tan, Shuang Wang:
An Identity Management System Based on Blockchain. PST 2017: 44-56 - [c26]Zhu Sun, Guibing Guo, Jie Zhang:
Learning hierarchical category influence on both users and items for effective recommendation. SAC 2017: 1679-1684 - [c25]Yuan Liu, Jin Bai, Guibing Guo, Xingwei Wang, Zhenhua Tan:
A Reputation Model Considering Repurchase Behavior and Mechanism Design to Promote Repurchase. SpaCCS 2017: 256-268 - [c24]Zhu Sun, Guibing Guo, Jie Zhang, Chi Xu:
A Unified Latent Factor Model for Effective Category-Aware Recommendation. UMAP 2017: 389-390 - 2016
- [j6]Guibing Guo, Jie Zhang, Neil Yorke-Smith:
A Novel Recommendation Model Regularized with User Trust and Item Ratings. IEEE Trans. Knowl. Data Eng. 28(7): 1607-1620 (2016) - [j5]Guibing Guo, Jie Zhang, Neil Yorke-Smith:
A Novel Evidence-Based Bayesian Similarity Measure for Recommender Systems. ACM Trans. Web 10(2): 8:1-8:30 (2016) - [c23]Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang:
LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates. CIKM 2016: 227-236 - [c22]Fajie Yuan, Joemon M. Jose, Guibing Guo, Long Chen, Haitao Yu, Rami Suleiman Alkhawaldeh:
Joint Geo-Spatial Preference and Pairwise Ranking for Point-of-Interest Recommendation. ICTAI 2016: 46-53 - [c21]Zhu Sun, Guibing Guo, Jie Zhang:
Effective Recommendation with Category Hierarchy. UMAP 2016: 299-300 - [c20]Hui-Huai Qiu, Guibing Guo, Jie Zhang, Zhu Sun, Hai Thanh Nguyen, Yun Liu:
TBPR: Trinity Preference based Bayesian Personalized Ranking for Multivariate Implicit Feedback. UMAP 2016: 305-306 - [c19]Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang:
Optimizing Factorization Machines for Top-N Context-Aware Recommendations. WISE (1) 2016: 278-293 - 2015
- [j4]Hui Fang, Guibing Guo, Jie Zhang:
Multi-faceted trust and distrust prediction for recommender systems. Decis. Support Syst. 71: 37-47 (2015) - [j3]Guibing Guo, Jie Zhang, Neil Yorke-Smith:
Leveraging multiviews of trust and similarity to enhance clustering-based recommender systems. Knowl. Based Syst. 74: 14-27 (2015) - [c18]Guibing Guo, Jie Zhang, Neil Yorke-Smith:
TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings. AAAI 2015: 123-129 - [c17]Hongbing Wang, Bin Zou, Guibing Guo, Jie Zhang, Zhengping Yang:
Optimal and Effective Web Service Composition with Trust and User Preference. ICWS 2015: 329-336 - [c16]Guibing Guo, Jie Zhang, Zhu Sun, Neil Yorke-Smith:
LibRec: A Java Library for Recommender Systems. UMAP Workshops 2015 - [c15]Zhu Sun, Guibing Guo, Jie Zhang:
Exploiting Implicit Item Relationships for Recommender Systems. UMAP 2015: 252-264 - 2014
- [b1]Guibing Guo:
Exploiting ratings and trust to resolve the data sparsity and cold start of recommender systems. Nanyang Technological University, Singapore, 2014 - [j2]Guibing Guo, Jie Zhang, Daniel Thalmann, Neil Yorke-Smith:
Leveraging prior ratings for recommender systems in e-commerce. Electron. Commer. Res. Appl. 13(6): 440-455 (2014) - [j1]Guibing Guo, Jie Zhang, Daniel Thalmann:
Merging trust in collaborative filtering to alleviate data sparsity and cold start. Knowl. Based Syst. 57: 57-68 (2014) - [c14]Guibing Guo, Jie Zhang, Daniel Thalmann, Neil Yorke-Smith:
ETAF: An extended trust antecedents framework for trust prediction. ASONAM 2014: 540-547 - [c13]Guibing Guo, Jie Zhang, Daniel Thalmann, Anirban Basu, Neil Yorke-Smith:
From ratings to trust: an empirical study of implicit trust in recommender systems. SAC 2014: 248-253 - [c12]Anirban Basu, Juan Camilo Corena, Shinsaku Kiyomoto, Stephen Marsh, Jaideep Vaidya, Guibing Guo, Jie Zhang, Yutaka Miyake:
Privacy preserving trusted social feedback. SAC 2014: 1706-1711 - 2013
- [c11]Robin Cohen, Noel Sardana, Kamal Rahim, Disney Yan Lam, M. Li, O. Maccarthy, E. Woo, Jie Zhang, Guibing Guo:
Recommending Messages to Users in Social Networks: A Cross-Site Study. ICMLA (2) 2013: 445-450 - [c10]Guibing Guo, Jie Zhang, Neil Yorke-Smith:
A Novel Bayesian Similarity Measure for Recommender Systems. IJCAI 2013: 2619-2625 - [c9]Guibing Guo:
Improving the Performance of Recommender Systems by Alleviating the Data Sparsity and Cold Start Problems. IJCAI 2013: 3217-3218 - [c8]Audun Jøsang, Guibing Guo, Maria Silvia Pini, Francesco Santini, Yue Xu:
Combining Recommender and Reputation Systems to Produce Better Online Advice. MDAI 2013: 126-138 - [c7]Guibing Guo, Jie Zhang, Daniel Thalmann, Neil Yorke-Smith:
Prior ratings: a new information source for recommender systems in e-commerce. RecSys 2013: 383-386 - [c6]Guibing Guo:
Integrating trust and similarity to ameliorate the data sparsity and cold start for recommender systems. RecSys 2013: 451-454 - 2012
- [c5]Hongbing Wang, Jie Zhang, Wenlong Sun, Hongye Song, Guibing Guo, Xiang Zhou:
WCP-Nets: A Weighted Extension to CP-Nets for Web Service Selection. ICSOC 2012: 298-312 - [c4]Guibing Guo, Jie Zhang, Daniel Thalmann:
A Simple But Effective Method to Incorporate Trusted Neighbors in Recommender Systems. UMAP 2012: 114-125 - [c3]Guibing Guo:
Resolving Data Sparsity and Cold Start in Recommender Systems. UMAP 2012: 361-364 - [c2]Hongbing Wang, Jie Zhang, Hualan Wang, Yangyu Tang, Guibing Guo:
Service Selection Based on Similarity Measurement for Conditional Qualitative Preference. Web Intelligence 2012: 612-619 - 2011
- [c1]Guibing Guo, Jie Zhang, Julita Vassileva:
Improving PGP Web of Trust through the Expansion of Trusted Neighborhood. Web Intelligence 2011: 489-494
Coauthor Index
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