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ACM 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
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
Learning to Adaptively Rank Document Retrieval System Configurations. 3:1-3:41 - Jyrki Alakuijala, Andrea Farruggia, Paolo Ferragina
Brotli: A General-Purpose Data Compressor. 4:1-4:30 - Yanru Qu, Bohui Fang, Weinan Zhang, Ruiming Tang
Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data. 5:1-5:35 - Heyan Huang, Xiaochi Wei
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
Seed-Guided Topic Model for Document Filtering and Classification. 9:1-9:37 - Weike Pan, Qiang Yang, Wanling Cai, Yaofeng Chen
Transfer to Rank for Heterogeneous One-Class Collaborative Filtering. 10:1-10:20 - Douglas W. Oard
Jointly Minimizing the Expected Costs of Review for Responsiveness and Privilege in E-Discovery. 11:1-11:35 - Xu Chen
Adversarial Distillation for Efficient Recommendation with External Knowledge. 12:1-12:28 - Marco Cornolti, Paolo Ferragina
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
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
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
Gaussian Processes for Rumour Stance Classification in Social Media. 20:1-20:24 - Luca Cagliero
ELSA: A Multilingual Document Summarization Algorithm Based on Frequent Itemsets and Latent Semantic Analysis. 21:1-21:33 - Libing Wu
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
Risk-Sensitive Learning to Rank with Evolutionary Multi-Objective Feature Selection. 24:1-24:34 - Giulio Ermanno Pibiri
Handling Massive N-Gram Datasets Efficiently. 25:1-25:41 - Xueying Zhan
Learning from Multi-annotator Data: A Noise-aware Classification Framework. 26:1-26:28 - Fuli Feng, Xiangnan He, Xiang Wang
Temporal Relational Ranking for Stock Prediction. 27:1-27:30
Volume 37, Number 3, July 2019
- Xinyu Guan
Attentive Aspect Modeling for Review-Aware Recommendation. 28:1-28:27 - Yunqiu Shao
On Annotation Methodologies for Image Search Evaluation. 29:1-29:32 - Nicola Ferro
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
Exploring High-Order User Preference on the Knowledge Graph for Recommender Systems. 32:1-32:26 - Feng Xue
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
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
Boosting Search Performance Using Query Variations. 41:1-41:25 - Lynda Tamine, Laure Soulier
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
Adaptive Local Low-rank Matrix Approximation for Recommendation. 45:1-45:34 - Xin Li
Next and Next New POI Recommendation via Latent Behavior Pattern Inference. 46:1-46:28 - Xiaoyu Du
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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