Abstract is missing.
- A Call to Arms: Embrace Assistive AI Systems!Andrei Z. Broder. 1 [doi]
- On the Power of Massive Text DataJiawei Han 0001. 2 [doi]
- Theoretical Impediments to Machine Learning With Seven Sparks from the Causal RevolutionJudea Pearl. 3 [doi]
- Conversations, Machine Learning and Privacy: LinkedIn's Path Towards Transforming Interaction with Its MembersIgor Perisic. 4 [doi]
- From Search to Research: Direct Answers, Perspectives and DialogHarry Shum. 5 [doi]
- Scalable Algorithms in the Age of Big Data and Network Sciences: Characterization, Primitives, and TechniquesShang-Hua Teng. 6-7 [doi]
- WSDM Cup 2018: Music Recommendation and Churn PredictionYian Chen, Xing Xie, Shou-de Lin, Arden Chiu. 8-9 [doi]
- Performance Analysis of a Privacy Constrained kNN Recommendation Using Data SketchesArmita Afsharinejad, Neil Hurley. 10-18 [doi]
- Can you Trust the Trend?: Discovering Simpson's Paradoxes in Social DataNazanin Alipourfard, Peter G. Fennell, Kristina Lerman. 19-27 [doi]
- Deep Neural Architecture for Multi-Modal Retrieval based on Joint Embedding Space for Text and ImagesSaeid Balaneshin Kordan, Alexander Kotov. 28-36 [doi]
- A Discrete Choice Model for Subset SelectionAustin R. Benson, Ravi Kumar 0001, Andrew Tomkins. 37-45 [doi]
- Latent Cross: Making Use of Context in Recurrent Recommender SystemsAlex Beutel, Paul Covington, Sagar Jain, Can Xu, Jia Li, Vince Gatto, Ed H. Chi. 46-54 [doi]
- Consistent Transformation of Ratio Metrics for Efficient Online Controlled ExperimentsRoman Budylin, Alexey Drutsa, Ilya Katsev, Valeriya Tsoy. 55-63 [doi]
- Neural Graph Learning: Training Neural Networks Using GraphsThang D. Bui, Sujith Ravi, Vivek Ramavajjala. 64-71 [doi]
- Sketch 'Em All: Fast Approximate Similarity Search for Dynamic Data StreamsMarc Bury, Chris Schwiegelshohn, Mara Sorella. 72-80 [doi]
- Fast Coreset-based Diversity Maximization under Matroid ConstraintsMatteo Ceccarello, Andrea Pietracaprina, Geppino Pucci. 81-89 [doi]
- Putting Data in the Driver's Seat: Optimizing Earnings for On-Demand Ride-HailingHarshal A. Chaudhari, John W. Byers, Evimaria Terzi. 90-98 [doi]
- Improving Negative Sampling for Word Representation using Self-embedded FeaturesLong Chen 0008, Fajie Yuan, Joemon M. Jose, Weinan Zhang. 99-107 [doi]
- Sequential Recommendation with User Memory NetworksXu Chen, Hongteng Xu, Yongfeng Zhang, Jiaxi Tang, Yixin Cao 0002, Zheng Qin, Hongyuan Zha. 108-116 [doi]
- VISIR: Visual and Semantic Image Label RefinementSreyasi Nag Chowdhury, Niket Tandon, Hakan Ferhatosmanoglu, Gerhard Weikum. 117-125 [doi]
- Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc SearchZhuyun Dai, Chenyan Xiong, Jamie Callan, Zhiyuan Liu 0001. 126-134 [doi]
- Demographics and Dynamics of Mechanical Turk WorkersDjellel Eddine Difallah, Elena Filatova, Panos Ipeirotis. 135-143 [doi]
- Joint Generative-Discriminative Aggregation Model for Multi-Option Crowd LabelsKamran Ghasedi Dizaji, Yanhua Yang, Heng Huang. 144-152 [doi]
- Predicting Audio Advertisement QualitySamaneh Ebrahimi, Hossein Vahabi, Matthew Prockup, Oriol Nieto. 153-161 [doi]
- Cognitive Biases in CrowdsourcingCarsten Eickhoff. 162-170 [doi]
- User Profiling through Deep Multimodal FusionGolnoosh Farnadi, Jie Tang, Martine De Cock, Marie-Francine Moens. 171-179 [doi]
- Orienteering Algorithms for Generating Travel ItinerariesZachary Friggstad, Sreenivas Gollapudi, Kostas Kollias, Tamás Sarlós, Chaitanya Swamy, Andrew Tomkins. 180-188 [doi]
- Unsubscription: A Simple Way to Ease Overload in EmailIftah Gamzu, Liane Lewin-Eytan, Natalia Silberstein. 189-197 [doi]
- Offline A/B Testing for Recommender SystemsAlexandre Gilotte, Clément Calauzènes, Thomas Nedelec, Alexandre Abraham, Simon Dollé. 198-206 [doi]
- Care to Share?: Learning to Rank Personal Photos for Public SharingIdo Guy, Alexander Nus, Dan Pelleg, Idan Szpektor. 207-215 [doi]
- Identifying Informational vs. Conversational Questions on Community Question Answering ArchivesIdo Guy, Victor Makarenkov, Niva Hazon, Lior Rokach, Bracha Shapira. 216-224 [doi]
- Robust Transfer Learning for Cross-domain Collaborative Filtering Using Multiple Rating Patterns ApproximationMing He, Jiuling Zhang, Peng Yang, Kaisheng Yao. 225-233 [doi]
- Ballpark Crowdsourcing: The Wisdom of Rough Group ComparisonsTom Hope, Dafna Shahaf. 234-242 [doi]
- Collaborative Filtering via Additive Ordinal RegressionJun Hu, Ping Li. 243-251 [doi]
- Who Will Share My Image?: Predicting the Content Diffusion Path in Online Social NetworksWenjian Hu, Krishna Kumar Singh, Fanyi Xiao, Jinyoung Han, Chen-Nee Chuah, Yong Jae Lee. 252-260 [doi]
- Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend PredictionZiniu Hu, Weiqing Liu, Jiang Bian, Xuanzhe Liu, Tie-Yan Liu. 261-269 [doi]
- Exploring Expert Cognition for Attributed Network EmbeddingXiao Huang, Qingquan Song, Jundong Li, Xia Hu. 270-278 [doi]
- Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc RetrievalKai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo. 279-287 [doi]
- Recommendation in Heterogeneous Information Networks Based on Generalized Random Walk Model and Bayesian Personalized RankingZhengshen Jiang, Hongzhi Liu, Bin Fu, Zhonghai Wu, Tao Zhang. 288-296 [doi]
- Fast and Scalable Distributed Loopy Belief Propagation on Real-World GraphsSaehan Jo, Jaemin Yoo, U. Kang. 297-305 [doi]
- Combating Crowdsourced Review Manipulators: A Neighborhood-Based ApproachParisa Kaghazgaran, James Caverlee, Anna Cinzia Squicciarini. 306-314 [doi]
- Topic Chronicle Forest for Topic Discovery and TrackingNoriaki Kawamae. 315-323 [doi]
- Leveraging the Crowd to Detect and Reduce the Spread of Fake News and MisinformationJooyeon Kim, Behzad Tabibian, Alice Oh, Bernhard Schölkopf, Manuel Gomez-Rodriguez. 324-332 [doi]
- REV2: Fraudulent User Prediction in Rating PlatformsSrijan Kumar, Bryan Hooi, Disha Makhija, Mohit Kumar, Christos Faloutsos, V. S. Subrahmanian. 333-341 [doi]
- Web Search of Fashion Items with Multimodal QueryingKatrien Laenen, Susana Zoghbi, Marie-Francine Moens. 342-350 [doi]
- Joint Non-negative Matrix Factorization for Learning Ideological Leaning on TwitterPreethi Lahoti, Kiran Garimella, Aristides Gionis. 351-359 [doi]
- Bayesian Optimization for Optimizing Retrieval SystemsDan Li, Evangelos Kanoulas. 360-368 [doi]
- Streaming Link Prediction on Dynamic Attributed NetworksJundong Li, Kewei Cheng, Liang Wu, Huan Liu. 369-377 [doi]
- Inferring Dockless Shared Bike Distribution in New CitiesZhaoyang Liu, Yanyan Shen, Yanmin Zhu. 378-386 [doi]
- Multi-Dimensional Network Embedding with Hierarchical StructureYao Ma 0001, Zhaochun Ren, Ziheng Jiang, Jiliang Tang, Dawei Yin. 387-395 [doi]
- Query Driven Algorithm Selection in Early Stage RetrievalJoel Mackenzie, J. Shane Culpepper, Roi Blanco, Matt Crane, Charles L. A. Clarke, Jimmy Lin. 396-404 [doi]
- Index Compression Using Byte-Aligned ANS Coding and Two-Dimensional ContextsAlistair Moffat, Matthias Petri. 405-413 [doi]
- Fusing Diversity in Recommendations in Heterogeneous Information NetworksSharad Nandanwar, Aayush Moroney, M. Narasimha Murty. 414-422 [doi]
- Neural Personalized Ranking for Image RecommendationWei Niu, James Caverlee, Haokai Lu. 423-431 [doi]
- Learning to Discover Domain-Specific Web ContentKien Pham, Aécio S. R. Santos, Juliana Freire. 432-440 [doi]
- Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & RecommendationYashoteja Prabhu, Anil Kag, Shilpa Gopinath, Kunal Dahiya, Shrutendra Harsola, Rahul Agrawal, Manik Varma. 441-449 [doi]
- DSANLS: Accelerating Distributed Nonnegative Matrix Factorization via SketchingYuqiu Qian, Conghui Tan, Nikos Mamoulis, David W. Cheung. 450-458 [doi]
- Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vecJiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang. 459-467 [doi]
- Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement LearningMeng Qu, Jian Tang, Jiawei Han 0001. 468-476 [doi]
- Leveraging Implicit Contribution Amounts to Facilitate Microfinancing RequestsSuhas Ranganath, Ghazaleh Beigi, Huan Liu. 477-485 [doi]
- FACH: Fast Algorithm for Detecting Cohesive Hierarchies of Communities in Large NetworksMojtaba Rezvani, Qing Wang, Weifa Liang. 486-494 [doi]
- Measuring the Latency of Depression Detection in Social MediaFarig Sadeque, Dongfang Xu, Steven Bethard. 495-503 [doi]
- Peeling Bipartite Networks for Dense Subgraph DiscoveryAhmet Erdem Sariyüce, Ali Pinar. 504-512 [doi]
- Short-Term Satisfaction and Long-Term Coverage: Understanding How Users Tolerate Algorithmic ExplorationTobias Schnabel, Paul N. Bennett, Susan T. Dumais, Thorsten Joachims. 513-521 [doi]
- CrossFire: Cross Media Joint Friend and Item RecommendationsKai Shu, Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu. 522-530 [doi]
- Modeling Time to Open of Emails with a Latent State for User Engagement LevelMoumita Sinha, Vishwa Vinay, Harvineet Singh. 531-539 [doi]
- Shortcutting Label Propagation for Distributed Connected ComponentsStergios Stergiou, Dipen Rughwani, Kostas Tsioutsiouliklis. 540-546 [doi]
- User Intent, Behaviour, and Perceived Satisfaction in Product SearchNing Su, Jiyin He, Yiqun Liu, Min Zhang, Shaoping Ma. 547-555 [doi]
- Logician: A Unified End-to-End Neural Approach for Open-Domain Information ExtractionMingming Sun, Xu Li, Xin Wang, Miao Fan, Yue Feng, Ping Li. 556-564 [doi]
- Personalized Top-N Sequential Recommendation via Convolutional Sequence EmbeddingJiaxi Tang, Ke Wang. 565-573 [doi]
- sSketch: A Scalable Sketching Technique for PCA in the CloudMd. Mehrab Tanjim, Muhammad Abdullah Adnan. 574-582 [doi]
- Hyperbolic Representation Learning for Fast and Efficient Neural Question AnsweringYi Tay, Luu Anh Tuan, Siu Cheung Hui. 583-591 [doi]
- SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link PredictionHongwei Wang, Fuzheng Zhang, Min Hou, Xing Xie, Minyi Guo, Qi Liu. 592-600 [doi]
- A Unified Processing Paradigm for Interactive Location-based Web SearchSheng Wang, Zhifeng Bao, Shixun Huang, Rui Zhang. 601-609 [doi]
- Position Bias Estimation for Unbiased Learning to Rank in Personal SearchXuanhui Wang, Nadav Golbandi, Michael Bendersky, Donald Metzler, Marc Najork. 610-618 [doi]
- A Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerceZihan Wang, Ziheng Jiang, Zhaochun Ren, Jiliang Tang, Dawei Yin. 619-627 [doi]
- Customer Purchase Behavior Prediction from Payment DatasetsYu Ting Wen, Pei-Wen Yeh, Tzu-Hao Tsai, Wen-Chih Peng, Hong-Han Shuai. 628-636 [doi]
- Tracing Fake-News Footprints: Characterizing Social Media Messages by How They PropagateLiang Wu, Huan Liu. 637-645 [doi]
- Indirect Supervision for Relation Extraction using Question-Answer PairsZeqiu Wu, Xiang Ren, Frank F. Xu, Ji Li, Jiawei Han 0001. 646-654 [doi]
- Why People Search for Images using Web Search EnginesXiaohui Xie, Yiqun Liu, Maarten de Rijke, Jiyin He, Min Zhang, Shaoping Ma. 655-663 [doi]
- OpenRec: A Modular Framework for Extensible and Adaptable Recommendation AlgorithmsLongqi Yang, Eugene Bagdasaryan, Joshua Gruenstein, Cheng-Kang Hsieh, Deborah Estrin. 664-672 [doi]
- Dynamic Word Embeddings for Evolving Semantic DiscoveryZijun Yao, Yifan Sun, Weicong Ding, Nikhil Rao, Hui Xiong. 673-681 [doi]
- Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerceJianfei Yu, Minghui Qiu, Jing Jiang, Jun Huang, Shuangyong Song, Wei Chu, Haiqing Chen. 682-690 [doi]
- Review-Aware Answer Prediction for Product-Related Questions Incorporating AspectsQian Yu, Wai Lam. 691-699 [doi]
- Neural Ranking Models with Multiple Document FieldsHamed Zamani, Bhaskar Mitra, Xia Song, Nick Craswell, Saurabh Tiwary. 700-708 [doi]
- Discrete Deep Learning for Fast Content-Aware RecommendationYan Zhang, Hongzhi Yin, Zi Huang, Xingzhong Du, Guowu Yang, Defu Lian. 717-726 [doi]
- Micro Behaviors: A New Perspective in E-commerce Recommender SystemsMeizi Zhou, Zhuoye Ding, Jiliang Tang, Dawei Yin. 727-735 [doi]
- Predicting Multi-step Citywide Passenger Demands Using Attention-based Neural NetworksXian Zhou, Yanyan Shen, Yanmin Zhu, Linpeng Huang. 736-744 [doi]
- Event Mining over Distributed Text StreamsJohn Calvo Martinez. 745-746 [doi]
- Connectivity in Complex Networks: Measures, Inference and OptimizationChen Chen. 747-748 [doi]
- Automatic Ranking of Information Retrieval SystemsMaram Hasanain. 749-750 [doi]
- Mining Twitter for Fine-Grained Political Opinion Polarity Classification, Ideology Detection and Sarcasm DetectionSandeepa Kannangara. 751-752 [doi]
- Beyond Who and What: Data Driven Approaches for User CharacterizationAastha Nigam. 753-754 [doi]
- Engagement and Incentives in Online Community: Observational Data, Prediction Models, and Field ExperimentsJiezhong Qiu. 755-756 [doi]
- Exploiting Human Mobility Patterns for Point-of-Interest RecommendationZijun Yao. 757-758 [doi]
- Percolator: Scalable Pattern Discovery in Dynamic GraphsSutanay Choudhury, Sumit Purohit, Peng Lin, Yinghui Wu, Lawrence B. Holder, Khushbu Agarwal. 759-762 [doi]
- Conversational Semantic Search: Looking Beyond Web Search, Q&A and Dialog SystemsPaul A. Crook, Alex Marin, Vipul Agarwal, Samantha Anderson, Ohyoung Jang, Aliasgar Lanewala, Karthik Tangirala, Imed Zitouni. 763-766 [doi]
- Supporting Large-scale Geographical Visualization in a Multi-granularity WayMingzhao Li, Zhifeng Bao, Farhana Murtaza Choudhury, Timos Sellis. 767-770 [doi]
- Collabot: Personalized Group Chat SummarizationNaama Tepper, Anat Hashavit, Maya Barnea, Inbal Ronen, Lior Leiba. 771-774 [doi]
- Influence Maximization in Online Social NetworksÇigdem Aslay, Laks V. S. Lakshmanan, Wei Lu, Xiaokui Xiao. 775-776 [doi]
- Differential Privacy for Information RetrievalGrace Hui Yang, Sicong Zhang. 777-778 [doi]
- Neural Networks for Information RetrievalTom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke, Bhaskar Mitra. 779-780 [doi]
- Tutorial on Metrics of User Engagement: Applications to News, Search and E-CommerceMounia Lalmas, Liangjie Hong. 781-782 [doi]
- Network Science of Teams: Characterization, Prediction, and OptimizationLiangyue Li, Hanghang Tong. 783-784 [doi]
- A Critical Review of Online Social Data: Biases, Methodological Pitfalls, and Ethical BoundariesAlexandra Olteanu, Emre Kiciman, Carlos Castillo 0001. 785-786 [doi]
- Athlytics: Winning in Sports with DataKonstantinos Pelechrinis, Evangelos E. Papalexakis. 787-788 [doi]
- Mining Knowledge Graphs From TextJay Pujara, Sameer Singh 0001. 789-790 [doi]
- The 5th International Workshop on Social Web for Disaster Management(SWDM'18): Collective Sensing, Trust, and Resilience in Global CrisesYu-Ru Lin, Carlos Castillo 0001, Jie Yin. 791-792 [doi]
- First Workshop on Knowledge Base Construction, Mining and ReasoningXiang Ren, Craig A. Knoblock, William Wang, Yu Su. 793-794 [doi]
- HeteroNAM: International Workshop on Heterogeneous Networks Analysis and MiningShobeir Fakhraei, Yanen Li, Yizhou Sun, Tim Weninger. 795-796 [doi]
- LearnIR: WSDM 2018 Workshop on Learning from User InteractionsRishabh Mehrotra, Ahmed Hassan Awadallah, Emine Yilmaz. 797-798 [doi]
- MIS2: Misinformation and Misbehavior Mining on the WebSrijan Kumar, Meng Jiang, Taeho Jung, Roger Jie Luo, Jure Leskovec. 799-800 [doi]
- Workshop on Two-sided Marketplace Optimization: Search, Pricing, Matching & GrowthMihajlo Grbovic, Thanasis Noulas. 801-802 [doi]
- 3 2018: Workshop on Graph Techniques for Adversarial Activity AnalyticsJieJun Xu, Hanghang Tong, Tsai-Ching Lu, Jingrui He, Nadya Bliss. 803 [doi]
- IFUP: Workshop on Multi-dimensional Information Fusion for User Modeling and PersonalizationFeida Zhu, Yongfeng Zhang, Neil Yorke-Smith, Guibing Guo, Xu Chen. 804-805 [doi]