| Time Interval Aware Self-Attention for Sequential Recommendation |
Jiacheng Li, Yujie Wang, Julian J. McAuley |
|
|
code |
140 |
| DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks |
Aravind Sankar, Yanhong Wu, Liang Gou, Wei Zhang, Hao Yang |
|
|
code |
138 |
| Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback |
Yuta Saito, Suguru Yaginuma, Yuta Nishino, Hayato Sakata, Kazuhide Nakata |
|
|
code |
87 |
| DDTCDR: Deep Dual Transfer Cross Domain Recommendation |
Pan Li, Alexander Tuzhilin |
|
|
code |
80 |
| RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback |
Ilya Shenbin, Anton Alekseev, Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko |
|
|
code |
63 |
| All You Need Is Low (Rank): Defending Against Adversarial Attacks on Graphs |
Negin Entezari, Saba A. AlSayouri, Amirali Darvishzadeh, Evangelos E. Papalexakis |
|
|
code |
59 |
| Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems |
Wenqiang Lei, Xiangnan He, Yisong Miao, Qingyun Wu, Richang Hong, MinYen Kan, TatSeng Chua |
|
|
code |
58 |
| Stepwise Reasoning for Multi-Relation Question Answering over Knowledge Graph with Weak Supervision |
Yunqi Qiu, Yuanzhuo Wang, Xiaolong Jin, Kun Zhang |
|
|
code |
52 |
| Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation |
Lixin Zou, Long Xia, Pan Du, Zhuo Zhang, Ting Bai, Weidong Liu, JianYun Nie, Dawei Yin |
|
|
code |
50 |
| Popularity Prediction on Social Platforms with Coupled Graph Neural Networks |
Qi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng |
|
|
code |
50 |
| MRAEA: An Efficient and Robust Entity Alignment Approach for Cross-lingual Knowledge Graph |
Xin Mao, Wenting Wang, Huimin Xu, Man Lan, Yuanbin Wu |
|
|
code |
48 |
| Transferring Robustness for Graph Neural Network Against Poisoning Attacks |
Xianfeng Tang, Yandong Li, Yiwei Sun, Huaxiu Yao, Prasenjit Mitra, Suhang Wang |
|
|
code |
47 |
| Interpretable Click-Through Rate Prediction through Hierarchical Attention |
Zeyu Li, Wei Cheng, Yang Chen, Haifeng Chen, Wei Wang |
|
|
code |
38 |
| Product Knowledge Graph Embedding for E-commerce |
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan |
|
|
code |
36 |
| Hierarchical User Profiling for E-commerce Recommender Systems |
Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Dawei Yin |
|
|
code |
35 |
| Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection |
Shumin Deng, Ningyu Zhang, Jiaojian Kang, Yichi Zhang, Wei Zhang, Huajun Chen |
|
|
code |
34 |
| HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems |
Lucas Vinh Tran, Yi Tay, Shuai Zhang, Gao Cong, Xiaoli Li |
|
|
code |
31 |
| Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System |
Ze Yang, Linjun Shou, Ming Gong, Wutao Lin, Daxin Jiang |
|
|
code |
30 |
| Analyzing the Impact of Filter Bubbles on Social Network Polarization |
Uthsav Chitra, Christopher Musco |
|
|
code |
30 |
| Learning a Joint Search and Recommendation Model from User-Item Interactions |
Hamed Zamani, W. Bruce Croft |
|
|
code |
26 |
| Outlier Resistant Unsupervised Deep Architectures for Attributed Network Embedding |
Sambaran Bandyopadhyay, Lokesh N, Saley Vishal Vivek, M. Narasimha Murty |
|
|
code |
26 |
| A Stochastic Treatment of Learning to Rank Scoring Functions |
Sebastian Bruch, Shuguang Han, Michael Bendersky, Marc Najork |
|
|
code |
25 |
| Learning Individual Causal Effects from Networked Observational Data |
Ruocheng Guo, Jundong Li, Huan Liu |
|
|
code |
25 |
| Context-aware Deep Model for Joint Mobility and Time Prediction |
Yile Chen, Cheng Long, Gao Cong, Chenliang Li |
|
|
code |
24 |
| Deep Learning for Anomaly Detection |
Ruoying Wang, Kexin Nie, Tie Wang, Yang Yang, Bo Long |
|
|
code |
24 |
| Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction |
Aravind Sankar, Xinyang Zhang, Adit Krishnan, Jiawei Han |
|
|
code |
23 |
| A Context-Aware Click Model for Web Search |
Jia Chen, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma |
|
|
code |
20 |
| personality2vec: Enabling the Analysis of Behavioral Disorders in Social Networks |
Amin Beheshti, Vahid Moraveji Hashemi, Shahpar Yakhchi, Hamid Reza MotahariNezhad, Seyed Mohssen Ghafari, Jian Yang |
|
|
code |
20 |
| Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning |
Ghazaleh Beigi, Ahmadreza Mosallanezhad, Ruocheng Guo, Hamidreza Alvari, Alexander Nou, Huan Liu |
|
|
code |
20 |
| Modeling Information Cascades with Self-exciting Processes via Generalized Epidemic Models |
Quyu Kong, MarianAndrei Rizoiu, Lexing Xie |
|
|
code |
20 |
| A Structural Graph Representation Learning Framework |
Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim, Anup Rao, Yasin AbbasiYadkori |
|
|
code |
20 |
| LARA: Attribute-to-feature Adversarial Learning for New-item Recommendation |
Changfeng Sun, Han Liu, Meng Liu, Zhaochun Ren, Tian Gan, Liqiang Nie |
|
|
code |
19 |
| Adversarial Machine Learning in Recommender Systems (AML-RecSys) |
Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra |
|
|
code |
19 |
| Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders |
Carl Yang, Jieyu Zhang, Haonan Wang, Sha Li, Myunghwan Kim, Matt Walker, Yiou Xiao, Jiawei Han |
|
|
code |
19 |
| End-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding |
Feng Liu, Huifeng Guo, Xutao Li, Ruiming Tang, Yunming Ye, Xiuqiang He |
|
|
code |
18 |
| LouvainNE: Hierarchical Louvain Method for High Quality and Scalable Network Embedding |
Ayan Kumar Bhowmick, Koushik Meneni, Maximilien Danisch, JeanLoup Guillaume, Bivas Mitra |
|
|
code |
18 |
| Automatic Speaker Recognition with Limited Data |
Ruirui Li, JyunYu Jiang, Jiahao Liu, ChuCheng Hsieh, Wei Wang |
|
|
code |
18 |
| Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation |
Yuan Zhang, Xiaoran Xu, Hanning Zhou, Yan Zhang |
|
|
code |
17 |
| Fast Item Ranking under Neural Network based Measures |
Shulong Tan, Zhixin Zhou, Zhaozhuo Xu, Ping Li |
|
|
code |
17 |
| OpenNIR: A Complete Neural Ad-Hoc Ranking Pipeline |
Sean MacAvaney |
|
|
code |
17 |
| Why Do People Buy Seemingly Irrelevant Items in Voice Product Search?: On the Relation between Product Relevance and Customer Satisfaction in eCommerce |
David Carmel, Elad Haramaty, Arnon Lazerson, Liane LewinEytan, Yoelle Maarek |
|
|
code |
16 |
| Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling |
Jiarui Qin, Kan Ren, Yuchen Fang, Weinan Zhang, Yong Yu |
|
|
code |
16 |
| PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems |
Azin Ghazimatin, Oana Balalau, Rishiraj Saha Roy, Gerhard Weikum |
|
|
code |
16 |
| Enhancing Re-finding Behavior with External Memories for Personalized Search |
Yujia Zhou, Zhicheng Dou, JiRong Wen |
|
|
code |
15 |
| Time to Shop for Valentine's Day: Shopping Occasions and Sequential Recommendation in E-commerce |
Jianling Wang, Raphael Louca, Diane Hu, Caitlin Cellier, James Caverlee, Liangjie Hong |
|
|
code |
14 |
| Learning and Reasoning on Graph for Recommendation |
Xiang Wang, Xiangnan He, TatSeng Chua |
|
|
code |
14 |
| Consistency-Aware Recommendation for User-Generated Item List Continuation |
Yun He, Yin Zhang, Weiwen Liu, James Caverlee |
|
|
code |
13 |
| Crowd Worker Strategies in Relevance Judgment Tasks |
Lei Han, Eddy Maddalena, Alessandro Checco, Cristina Sarasua, Ujwal Gadiraju, Kevin Roitero, Gianluca Demartini |
|
|
code |
13 |
| Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations |
Oluwaseyi Feyisetan, Borja Balle, Thomas Drake, Tom Diethe |
|
|
code |
13 |
| Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms |
Aman Ahuja, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy |
|
|
code |
12 |
| Addressing Marketing Bias in Product Recommendations |
Mengting Wan, Jianmo Ni, Rishabh Misra, Julian J. McAuley |
|
|
code |
12 |
| Improving the Estimation of Tail Ratings in Recommender System with Multi-Latent Representations |
Xing Zhao, Ziwei Zhu, Yin Zhang, James Caverlee |
|
|
code |
12 |
| Metrics, User Models, and Satisfaction |
Alfan Farizki Wicaksono, Alistair Moffat |
|
|
code |
12 |
| Epidemic Graph Convolutional Network |
Tyler Derr, Yao Ma, Wenqi Fan, Xiaorui Liu, Charu C. Aggarwal, Jiliang Tang |
|
|
code |
12 |
| Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation |
Nengjun Zhu, Jian Cao, Yanchi Liu, Yang Yang, Haochao Ying, Hui Xiong |
|
|
code |
11 |
| ADMM SLIM: Sparse Recommendations for Many Users |
Harald Steck, Maria Dimakopoulou, Nickolai Riabov, Tony Jebara |
|
|
code |
11 |
| The Power of Pivoting for Exact Clique Counting |
Shweta Jain, C. Seshadhri |
|
|
code |
11 |
| Efficiently Counting Vertex Orbits of All 5-vertex Subgraphs, by EVOKE |
Noujan Pashanasangi, C. Seshadhri |
|
|
code |
11 |
| Adversarial Learning to Compare: Self-Attentive Prospective Customer Recommendation in Location based Social Networks |
Ruirui Li, Xian Wu, Wei Wang |
|
|
code |
10 |
| Recurrent Memory Reasoning Network for Expert Finding in Community Question Answering |
Jinlan Fu, Yi Li, Qi Zhang, Qinzhuo Wu, Renfeng Ma, Xuanjing Huang, YuGang Jiang |
|
|
code |
10 |
| Temporal Context-Aware Representation Learning for Question Routing |
Xuchao Zhang, Wei Cheng, Bo Zong, Yuncong Chen, Jianwu Xu, Ding Li, Haifeng Chen |
|
|
code |
10 |
| Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion |
Jianling Wang, Kaize Ding, Ziwei Zhu, Yin Zhang, James Caverlee |
|
|
code |
9 |
| AutoBlock: A Hands-off Blocking Framework for Entity Matching |
Wei Zhang, Hao Wei, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, David Page |
|
|
code |
9 |
| Listwise Learning to Rank by Exploring Unique Ratings |
Xiaofeng Zhu, Diego Klabjan |
|
|
code |
8 |
| JNET: Learning User Representations via Joint Network Embedding and Topic Embedding |
Lin Gong, Lu Lin, Weihao Song, Hongning Wang |
|
|
code |
8 |
| Ultra Fine-Grained Image Semantic Embedding |
DaCheng Juan, ChunTa Lu, Zhen Li, Futang Peng, Aleksei Timofeev, YiTing Chen, Yaxi Gao, Tom Duerig, Andrew Tomkins, Sujith Ravi |
|
|
code |
8 |
| Capreolus: A Toolkit for End-to-End Neural Ad Hoc Retrieval |
Andrew Yates, Siddhant Arora, Xinyu Zhang, Wei Yang, Kevin Martin Jose, Jimmy Lin |
|
|
code |
8 |
| Deep Multi-Graph Clustering via Attentive Cross-Graph Association |
Dongsheng Luo, Jingchao Ni, Suhang Wang, Yuchen Bian, Xiong Bill Yu, Xiang Zhang |
|
|
code |
8 |
| Predicting Human Mobility via Attentive Convolutional Network |
Congcong Miao, Ziyan Luo, Fengzhu Zeng, Jilong Wang |
|
|
code |
8 |
| Knowledge-aware Complementary Product Representation Learning |
Da Xu, Chuanwei Ruan, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan |
|
|
code |
7 |
| PERQ: Predicting, Explaining, and Rectifying Failed Questions in KB-QA Systems |
Zhiyong Wu, Ben Kao, TienHsuan Wu, Pengcheng Yin, Qun Liu |
|
|
code |
7 |
| Initialization for Network Embedding: A Graph Partition Approach |
Wenqing Lin, Feng He, Faqiang Zhang, Xu Cheng, Hongyun Cai |
|
|
code |
6 |
| Extreme Regression for Dynamic Search Advertising |
Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma |
|
|
code |
6 |
| Beyond Statistical Relations: Integrating Knowledge Relations into Style Correlations for Multi-Label Music Style Classification |
Qianwen Ma, Chunyuan Yuan, Wei Zhou, Jizhong Han, Songlin Hu |
|
|
code |
6 |
| Learning with Small Data |
Zhenhui Li, Huaxiu Yao, Fenglong Ma |
|
|
code |
6 |
| Decision Boundary of Deep Neural Networks: Challenges and Opportunities |
Hamid Karimi, Jiliang Tang |
|
|
code |
6 |
| Comparative Web Search Questions |
Alexander Bondarenko, Pavel Braslavski, Michael Völske, Rami Aly, Maik Fröbe, Alexander Panchenko, Chris Biemann, Benno Stein, Matthias Hagen |
|
|
code |
5 |
| Ad Close Mitigation for Improved User Experience in Native Advertisements |
Natalia Silberstein, Oren Somekh, Yair Koren, Michal Aharon, Dror Porat, Avi Shahar, Tingyi Wu |
|
|
code |
5 |
| Influence Maximization with Spontaneous User Adoption |
Lichao Sun, Albert Chen, Philip S. Yu, Wei Chen |
|
|
code |
5 |
| Practice of Efficient Data Collection via Crowdsourcing: Aggregation, Incremental Relabelling, and Pricing |
Alexey Drutsa, Valentina Fedorova, Dmitry Ustalov, Olga Megorskaya, Evfrosiniya Zerminova, Daria Baidakova |
|
|
code |
5 |
| User Recommendation in Content Curation Platforms |
Jianling Wang, Ziwei Zhu, James Caverlee |
|
|
code |
4 |
| Investigating Examination Behavior in Mobile Search |
Yukun Zheng, Jiaxin Mao, Yiqun Liu, Mark Sanderson, Min Zhang, Shaoping Ma |
|
|
code |
4 |
| Network Analysis with Negative Links |
Tyler Derr |
|
|
code |
4 |
| VISION-KG: Topic-centric Visualization System for Summarizing Knowledge Graph |
Jiaqi Wei, Shuo Han, Lei Zou |
|
|
code |
4 |
| Overlapping Community Detection in Static and Dynamic Networks |
Renny Márquez |
|
|
code |
4 |
| Entities with Quantities: Extraction, Search, and Ranking |
Vinh Thinh Ho, Koninika Pal, Niko Kleer, Klaus Berberich, Gerhard Weikum |
|
|
code |
3 |
| Computer Vision for Fashion: From Individual Recommendations to World-wide Trends |
Kristen Grauman |
|
|
code |
3 |
| Retrieving Top Weighted Triangles in Graphs |
Raunak Kumar, Paul Liu, Moses Charikar, Austin R. Benson |
|
|
code |
3 |
| Recurrent Attention Walk for Semi-supervised Classification |
Uchenna Akujuobi, Qiannan Zhang, Yufei Han, Xiangliang Zhang |
|
|
code |
3 |
| Joint Recognition of Names and Publications in Academic Homepages |
Yimeng Dai, Jianzhong Qi, Rui Zhang |
|
|
code |
3 |
| Jointly Optimized Neural Coreference Resolution with Mutual Attention |
Jie Ma, Jun Liu, Yufei Li, Xin Hu, Yudai Pan, Shen Sun, Qika Lin |
|
|
code |
3 |
| FAQAugmenter: Suggesting Questions for Enterprise FAQ Pages |
Ankush Chatterjee, Manish Gupta, Puneet Agrawal |
|
|
code |
3 |
| Illustrate Your Story: Enriching Text with Images |
Sreyasi Nag Chowdhury, William Cheng, Gerard de Melo, Simon Razniewski, Gerhard Weikum |
|
|
code |
3 |
| Web-scale Knowledge Collection |
Colin Lockard, Prashant Shiralkar, Xin Luna Dong, Hannaneh Hajishirzi |
|
|
code |
3 |
| Parameter Tuning in Personal Search Systems |
Suming J. Chen, Xuanhui Wang, Zhen Qin, Donald Metzler |
|
|
code |
2 |
| GREASE: A Generative Model for Relevance Search over Knowledge Graphs |
Tianshuo Zhou, Ziyang Li, Gong Cheng, Jun Wang, Yuang Wei |
|
|
code |
2 |
| Toward Activity Discovery in the Personal Web |
Tara Safavi, Adam Fourney, Robert Sim, Marcin Juraszek, Shane Williams, Ned Friend, Danai Koutra, Paul N. Bennett |
|
|
code |
2 |
| Balanced Influence Maximization in Attributed Social Network Based on Sampling |
Mingkai Lin, Wenzhong Li, Sanglu Lu |
|
|
code |
2 |
| Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference |
Jaemin Yoo, U Kang, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon |
|
|
code |
2 |
| SUM'20: State-based User Modelling |
Sahan Bulathwela, María PérezOrtiz, Rishabh Mehrotra, Davor Orlic, Colin de la Higuera, John ShaweTaylor, Emine Yilmaz |
|
|
code |
2 |
| Temporal Pattern of Retweet(s) Help to Maximize Information Diffusion in Twitter |
Ayan Kumar Bhowmick |
|
|
code |
2 |
| ENTYFI: Entity Typing in Fictional Texts |
Cuong Xuan Chu, Simon Razniewski, Gerhard Weikum |
|
|
code |
2 |
| Incremental Filter Pruning via Random Walk for Accelerating Deep Convolutional Neural Networks |
Qinghua Li, Cuiping Li, Hong Chen |
|
|
code |
2 |
| Nearly Linear Time Algorithm for Mean Hitting Times of Random Walks on a Graph |
Zuobai Zhang, Wanyue Xu, Zhongzhi Zhang |
|
|
code |
2 |
| SPread: Automated Financial Metric Extraction and Spreading Tool from Earnings Reports |
Armineh Nourbakhsh, Mohammad M. Ghassemi, Steven Pomerville |
|
|
code |
2 |
| Integrity 2020: Integrity in Social Networks and Media |
Lluis Garcia Pueyo, Anand Bhaskar, Panayiotis Tsaparas, Aristides Gionis, Tina EliassiRad, Maria Daltayanni, Yu Sun, Panagiotis Papadimitriou |
|
|
code |
2 |
| Learning from Heterogeneous Networks: Methods and Applications |
Chuxu Zhang |
|
|
code |
2 |
| User Intent Inference for Web Search and Conversational Agents |
Ali Ahmadvand |
|
|
code |
1 |
| Separate and Attend in Personal Email Search |
Yu Meng, Maryam Karimzadehgan, Honglei Zhuang, Donald Metzler |
|
|
code |
1 |
| Athena: A Ranking Enabled Scholarly Search System |
Junfeng Liu, Shuai Ma, Renjun Hu, Chunming Hu, Jinpeng Huai |
|
|
code |
1 |
| Debiasing Word Embeddings from Sentiment Associations in Names |
Christoph Hube, Maximilian Idahl, Besnik Fetahu |
|
|
code |
1 |
| Beyond Sessions: Exploiting Hybrid Contextual Information for Web Search |
Jia Chen |
|
|
code |
1 |
| From Missing Data to Boltzmann Distributions and Time Dynamics: The Statistical Physics of Recommendation |
Ed H. Chi |
|
|
code |
1 |
| Hybrid Utility Function for Unexpected Recommendations |
Pan Li |
|
|
code |
1 |
| Can A User Guess What Her Followers Want? |
Abir De, Adish Singla, Utkarsh Upadhyay, Manuel GomezRodriguez |
|
|
code |
1 |
| Intelligible Machine Learning and Knowledge Discovery Boosted by Visual Means |
Boris Kovalerchuk |
|
|
code |
1 |
| Veridical Data Science |
Bin Yu |
|
|
code |
1 |
| TSA: A Truthful Mechanism for Social Advertising |
Tobias Grubenmann, Reynold C. K. Cheng, Laks V. S. Lakshmanan |
|
|
code |
1 |
| Text Recognition Using Anonymous CAPTCHA Answers |
Alexander Shishkin, Anastasia A. Bezzubtseva, Valentina Fedorova, Alexey Drutsa, Gleb Gusev |
|
|
code |
1 |
| WebShapes: Network Visualization with 3D Shapes |
Shengmin Jin, Richard Wituszynski, Max CaielloGingold, Reza Zafarani |
|
|
code |
1 |
| Think like a Human: Constructing Cognitive-oriented Retrieval Model for Web Search |
Xiangsheng Li |
|
|
code |
0 |
| Impact of Online Job Search and Job Reviews on Job Decision |
Faiz Ahamad |
|
|
code |
0 |
| Label Distribution Augmented Maximum Likelihood Estimation for Reading Comprehension |
Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng |
|
|
code |
0 |
| Challenges, Best Practices and Pitfalls in Evaluating Results of Online Controlled Experiments |
Somit Gupta, Xiaolin Shi, Pavel A. Dmitriev, Xin Fu, Avijit Mukherjee |
|
|
code |
0 |
| Can Deep Learning Only Be Neural Networks? |
ZhiHua Zhou |
|
|
code |
0 |
| Deep Bayesian Data Mining |
JenTzung Chien |
|
|
code |
0 |