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ORCIDACM Transactions on Information Systems, Volume 37
Volume 37, Number 1, January 2019
- Vladimir Mic
, David Novak, Pavel Zezula:
Binary Sketches for Secondary Filtering. 1:1-1:28 - Mejdl S. Safran, Dunren Che:
Efficient Learning-Based Recommendation Algorithms for Top-N Tasks and Top-N Workers in Large-Scale Crowdsourcing Systems. 2:1-2:46 - Romain Deveaud, Josiane Mothe, Md. Zia Ullah, Jian-Yun Nie:
Learning to Adaptively Rank Document Retrieval System Configurations. 3:1-3:41 - Jyrki Alakuijala, Andrea Farruggia, Paolo Ferragina, Eugene Kliuchnikov, Robert Obryk, Zoltan Szabadka, Lode Vandevenne:
Brotli: A General-Purpose Data Compressor. 4:1-4:30 - Yanru Qu, Bohui Fang, Weinan Zhang, Ruiming Tang, Minzhe Niu, Huifeng Guo, Yong Yu, Xiuqiang He:
Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data. 5:1-5:35 - Heyan Huang, Xiaochi Wei, Liqiang Nie, Xianling Mao, Xin-Shun Xu:
From Question to Text: Question-Oriented Feature Attention for Answer Selection. 6:1-6:33 - Wei Lu, Fu-Lai Chung, Wenhao Jiang, Martin Ester, Wei Liu:
A Deep Bayesian Tensor-Based System for Video Recommendation. 7:1-7:22 - Kateryna Tymoshenko, Alessandro Moschitti:
Shallow and Deep Syntactic/Semantic Structures for Passage Reranking in Question-Answering Systems. 8:1-8:38 - Chenliang Li, Shiqian Chen, Jian Xing, Aixin Sun, Zongyang Ma:
Seed-Guided Topic Model for Document Filtering and Classification. 9:1-9:37 - Weike Pan, Qiang Yang, Wanling Cai, Yaofeng Chen, Qing Zhang, Xiaogang Peng, Zhong Ming:
Transfer to Rank for Heterogeneous One-Class Collaborative Filtering. 10:1-10:20 - Douglas W. Oard, Fabrizio Sebastiani, Jyothi Keshavan Vinjumur:
Jointly Minimizing the Expected Costs of Review for Responsiveness and Privilege in E-Discovery. 11:1-11:35 - Xu Chen, Yongfeng Zhang, Hongteng Xu, Zheng Qin, Hongyuan Zha:
Adversarial Distillation for Efficient Recommendation with External Knowledge. 12:1-12:28 - Marco Cornolti, Paolo Ferragina, Massimiliano Ciaramita, Stefan Rüd, Hinrich Schütze:
SMAPH: A Piggyback Approach for Entity-Linking in Web Queries. 13:1-13:42
Volume 37, Number 2, March 2019
- Xi Niu, Xiangyu Fan, Tao Zhang:
Understanding Faceted Search from Data Science and Human Factor Perspectives. 14:1-14:27 - Babak Loni, Roberto Pagano, Martha A. Larson, Alan Hanjalic:
Top-N Recommendation with Multi-Channel Positive Feedback using Factorization Machines. 15:1-15:23 - Zhiyong Cheng, Xiaojun Chang, Lei Zhu, Rose Catherine Kanjirathinkal, Mohan S. Kankanhalli:
MMALFM: Explainable Recommendation by Leveraging Reviews and Images. 16:1-16:28 - Wen-Haw Chong, Ee-Peng Lim:
Fine-grained Geolocation of Tweets in Temporal Proximity. 17:1-17:33 - Tieyun Qian, Bei Liu, Quoc Viet Hung Nguyen, Hongzhi Yin:
Spatiotemporal Representation Learning for Translation-Based POI Recommendation. 18:1-18:24 - Yangyang Guo, Zhiyong Cheng, Liqiang Nie, Yinglong Wang, Jun Ma, Mohan S. Kankanhalli:
Attentive Long Short-Term Preference Modeling for Personalized Product Search. 19:1-19:27 - Michal Lukasik, Kalina Bontcheva, Trevor Cohn, Arkaitz Zubiaga, Maria Liakata, Rob Procter:
Gaussian Processes for Rumour Stance Classification in Social Media. 20:1-20:24 - Luca Cagliero, Paolo Garza, Elena Baralis:
ELSA: A Multilingual Document Summarization Algorithm Based on Frequent Itemsets and Latent Semantic Analysis. 21:1-21:33 - Libing Wu, Cong Quan, Chenliang Li, Qian Wang, Bolong Zheng, Xiangyang Luo:
A Context-Aware User-Item Representation Learning for Item Recommendation. 22:1-22:29 - Ming Liu, Gu Gong, Bing Qin, Ting Liu:
A Multi-View-Based Collective Entity Linking Method. 23:1-23:29 - Daniel Xavier de Sousa, Sérgio D. Canuto, Marcos André Gonçalves, Thierson Couto Rosa, Wellington Santos Martins:
Risk-Sensitive Learning to Rank with Evolutionary Multi-Objective Feature Selection. 24:1-24:34 - Giulio Ermanno Pibiri, Rossano Venturini:
Handling Massive N-Gram Datasets Efficiently. 25:1-25:41 - Xueying Zhan, Yaowei Wang, Yanghui Rao, Qing Li:
Learning from Multi-annotator Data: A Noise-aware Classification Framework. 26:1-26:28 - Fuli Feng, Xiangnan He, Xiang Wang, Cheng Luo, Yiqun Liu, Tat-Seng Chua:
Temporal Relational Ranking for Stock Prediction. 27:1-27:30
Volume 37, Number 3, July 2019
- Xinyu Guan, Zhiyong Cheng, Xiangnan He, Yongfeng Zhang, Zhibo Zhu, Qinke Peng, Tat-Seng Chua:
Attentive Aspect Modeling for Review-Aware Recommendation. 28:1-28:27 - Yunqiu Shao, Yiqun Liu, Fan Zhang, Min Zhang, Shaoping Ma:
On Annotation Methodologies for Image Search Evaluation. 29:1-29:32 - Nicola Ferro, Yubin Kim, Mark Sanderson:
Using Collection Shards to Study Retrieval Performance Effect Sizes. 30:1-30:40 - Xinyi Li, Yifan Chen, Benjamin Pettit, Maarten de Rijke:
Personalised Reranking of Paper Recommendations Using Paper Content and User Behavior. 31:1-31:23 - Hongwei Wang, Fuzheng Zhang, Jialin Wang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo:
Exploring High-Order User Preference on the Knowledge Graph for Recommender Systems. 32:1-32:26 - Feng Xue, Xiangnan He, Xiang Wang, Jiandong Xu, Kai Liu, Richang Hong:
Deep Item-based Collaborative Filtering for Top-N Recommendation. 33:1-33:25 - Zheng Zhang, Minlie Huang, Zhongzhou Zhao, Feng Ji, Haiqing Chen, Xiaoyan Zhu:
Memory-Augmented Dialogue Management for Task-Oriented Dialogue Systems. 34:1-34:30 - Zhijing Wu, Ke Zhou, Yiqun Liu, Min Zhang, Shaoping Ma:
Does Diversity Affect User Satisfaction in Image Search. 35:1-35:30 - Jaime Arguello, Bogeum Choi:
The Effects of Working Memory, Perceptual Speed, and Inhibition in Aggregated Search. 36:1-36:34 - Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
Funnelling: A New Ensemble Method for Heterogeneous Transfer Learning and Its Application to Cross-Lingual Text Classification. 37:1-37:30 - Yiqun Liu, Junqi Zhang, Jiaxin Mao, Min Zhang, Shaoping Ma, Qi Tian, Yanxiong Lu, Leyu Lin:
Search Result Reranking with Visual and Structure Information Sources. 38:1-38:38
Volume 37, Number 4, December 2019
- Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke:
Joint Neural Collaborative Filtering for Recommender Systems. 39:1-39:30 - Richong Zhang, Yue Wang, Yongyi Mao, Jinpeng Huai:
Question Answering in Knowledge Bases: A Verification Assisted Model with Iterative Training. 40:1-40:26 - Rodger Benham, Joel M. Mackenzie, Alistair Moffat, J. Shane Culpepper:
Boosting Search Performance Using Query Variations. 41:1-41:25 - Lynda Tamine, Laure Soulier, Gia-Hung Nguyen, Nathalie Souf:
Offline versus Online Representation Learning of Documents Using External Knowledge. 42:1-42:34 - Yukun Zheng, Jiaxin Mao, Yiqun Liu, Cheng Luo, Min Zhang, Shaoping Ma:
Constructing Click Model for Mobile Search with Viewport Time. 43:1-43:34 - Fiana Raiber, Oren Kurland:
Relevance Feedback: The Whole Is Inferior to the Sum of Its Parts. 44:1-44:28 - Huafeng Liu, Liping Jing, Yuhua Qian, Jian Yu:
Adaptive Local Low-rank Matrix Approximation for Recommendation. 45:1-45:34 - Xin Li, Dongcheng Han, Jing He, Lejian Liao, Mingzhong Wang:
Next and Next New POI Recommendation via Latent Behavior Pattern Inference. 46:1-46:28 - Xiaoyu Du, Xiangnan He, Fajie Yuan, Jinhui Tang, Zhiguang Qin, Tat-Seng Chua:
Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering. 47:1-47:22 - Xiao Lin, Min Zhang, Yiqun Liu, Shaoping Ma:
Enhancing Personalized Recommendation by Implicit Preference Communities Modeling. 48:1-48:32 - Maarten de Rijke:
Reviewers for ACM Transactions on Information Systems Volume 37. 49:1-49:6
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