Special Interest Group on Information Retrieval Conference (2020)

Workshops

Proceedings of the First Workshop on Bridging the Gap between Information Science, Information Retrieval and Data Science (BIRDS 2020) co-located with 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi'an, China (online only), July 30th, - 2020 14 papers

Proceedings of the First Workshop on Bridging the Gap between Information Science, Information Retrieval and Data Science (BIRDS 2020) co-located with 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi'an, China (online only), July 30th, - 2020

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Proceedings of the First Workshop on Bridging the Gap between Information Science, Information Retrieval and Data Science (BIRDS 2020) co-located with 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi'an, China (online only), July 30th, - 2020

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BIRDS 2020 - Bridging the Gap between Information Science, Information Retrieval and Data Science: Preface

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Fairness and Transparency in Ranking
Carlos Castillo

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Challenges and Opportunities for IS, IR & DS in an Era of Information Ubiquity
Nicholas J. Belkin

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Explaining Explanation Methods
Riccardo Guidotti

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Understanding Faceted Search from Information Retrieval, Information Science and Data Science Perspectives
Xi Niu

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Reinforcement Learning-driven Information Seeking: A Quantum Probabilistic Approach
Amit Kumar Jaiswal | Haiming Liu | Ingo Frommholz

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Towards a Framework for Harm Prevention in Web Search
Steven Zimmerman | Stefan Herzog | Jon Chamberlain | David Elsweiler | Udo Kruschwitz

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Temporal Analysis of Scientific Literature to Find Grand Challenges and Saturated Problems
Kritika Agrawal | Vikram Pudi

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Exploring the Impact on User Information Search Behaviour of Affective Design: An Eye-Tracking Study
Sehrish Sher Khan | Haiming Liu

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Extracting and Representing Causal Knowledge of Health Condition
Hong Qing Yu

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BM25-FIC: Information Content-based Field Weighting for BM25F
Tuomas Ketola | Thomas Roelleke

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Content-based Image Search System Design for Capturing User Preferences during Query Formulation
Mahmoud Artemi | Haiming Liu

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Some Reflections on the Use of Structural Equation Modeling for Investigating the Causal Relationships that Affect Search Engine Results
Massimo Melucci

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020

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Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020

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The Next Generation of Neural Networks
Geoffrey E. Hinton

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Proof by Experimentation? Towards Better IR Research
Norbert Fuhr

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Coopetition in IR Research
Ellen M. Voorhees

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On Presuppositions of Machine Learning: A Meta Theory
Zongben Xu

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How Deep Learning Works for Information Retrieval
Dacheng Tao

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From Information to Assistance
Elizabeth F. Churchill

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The New TREC Track on Podcast Search and Summarization
Rosie Jones

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Large-scale Multi-modal Search and QA at Alibaba
Rong Jin

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Training Effective Neural CLIR by Bridging the Translation Gap
Hamed R. Bonab | Sheikh Muhammad Sarwar | James Allan

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A Quantum Interference Inspired Neural Matching Model for Ad-hoc Retrieval
Yongyu Jiang | Peng Zhang | Hui Gao | Dawei Song

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ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT
Omar Khattab | Matei Zaharia

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A Reinforcement Learning Framework for Relevance Feedback
Ali Montazeralghaem | Hamed Zamani | James Allan

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MVIN: Learning Multiview Items for Recommendation
Chang-You Tai | Meng-Ru Wu | Yun-Wei Chu | Shao-Yu Chu | Lun-Wei Ku

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Make It a Chorus: Knowledge- and Time-aware Item Modeling for Sequential Recommendation
Chenyang Wang | Min Zhang | Weizhi Ma | Yiqun Liu | Shaoping Ma

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Evolutionary Product Description Generation: A Dynamic Fine-Tuning Approach Leveraging User Click Behavior
Yongzhen Wang | Jian Wang | Heng Huang | Hongsong Li | Xiaozhong Liu

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Detecting User Community in Sparse Domain via Cross-Graph Pairwise Learning
Zheng Gao | Hongsong Li | Zhuoren Jiang | Xiaozhong Liu

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BiANE: Bipartite Attributed Network Embedding
Wentao Huang | Yuchen Li | Yuan Fang | Ju Fan | Hongxia Yang

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Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation
Chong Chen | Min Zhang | Weizhi Ma | Yiqun Liu | Shaoping Ma

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CKAN: Collaborative Knowledge-aware Attentive Network for Recommender Systems
Ze Wang | Guangyan Lin | Huobin Tan | Qinghong Chen | Xiyang Liu

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CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network
Cheng Zhao | Chenliang Li | Rong Xiao | Hongbo Deng | Aixin Sun

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Incorporating Scenario Knowledge into A Unified Fine-tuning Architecture for Event Representation
Jianming Zheng | Fei Cai | Honghui Chen

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Ranking-Incentivized Quality Preserving Content Modification
Gregory Goren | Oren Kurland | Moshe Tennenholtz | Fiana Raiber

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On Understanding Data Worker Interaction Behaviors
Lei Han | Tianwa Chen | Gianluca Demartini | Marta Indulska | Shazia W. Sadiq

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Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates
Zheng Liu | Jianxun Lian | Junhan Yang | Defu Lian | Xing Xie

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The Cortical Activity of Graded Relevance
Zuzana Pinkosova | William J. McGeown | Yashar Moshfeghi

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Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback
Yuta Saito

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Measuring Recommendation Explanation Quality: The Conflicting Goals of Explanations
Krisztian Balog | Filip Radlinski

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Bayesian Inferential Risk Evaluation On Multiple IR Systems
Rodger Benham | Ben Carterette | J. Shane Culpepper | Alistair Moffat

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Good Evaluation Measures based on Document Preferences
Tetsuya Sakai | Zhaohao Zeng

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Operationalizing the Legal Principle of Data Minimization for Personalization
Asia J. Biega | Peter Potash | Hal Daumé III | Fernando Diaz | Michèle Finck

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Controlling Fairness and Bias in Dynamic Learning-to-Rank
Marco Morik | Ashudeep Singh | Jessica Hong | Thorsten Joachims

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Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems
Ziwei Zhu | Jianling Wang | James Caverlee

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What Makes a Top-Performing Precision Medicine Search Engine?: Tracing Main System Features in a Systematic Way
Erik Faessler | Michel Oleynik | Udo Hahn

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Accelerated Convergence for Counterfactual Learning to Rank
Rolf Jagerman | Maarten de Rijke

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DVGAN: A Minimax Game for Search Result Diversification Combining Explicit and Implicit Features
Jiongnan Liu | Zhicheng Dou | Xiaojie Wang | Shuqi Lu | Ji-Rong Wen

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Policy-Aware Unbiased Learning to Rank for Top-k Rankings
Harrie Oosterhuis | Maarten de Rijke

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Humor Detection in Product Question Answering Systems
Yftah Ziser | Elad Kravi | David Carmel

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Learning to Ask Screening Questions for Job Postings
Baoxu Shi | Shan Li | Jaewon Yang | Mustafa Emre Kazdagli | Qi He

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Answer Ranking for Product-Related Questions via Multiple Semantic Relations Modeling
Wenxuan Zhang | Yang Deng | Wai Lam

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Table Search Using a Deep Contextualized Language Model
Zhiyu Chen | Mohamed Trabelsi | Jeff Heflin | Yinan Xu | Brian D. Davison

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ASiNE: Adversarial Signed Network Embedding
Yeon-Chang Lee | Nayoun Seo | Kyungsik Han | Sang-Wook Kim

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GAME: Learning Graphical and Attentive Multi-view Embeddings for Occasional Group Recommendation
Zhixiang He | Chi-Yin Chow | Jia-Dong Zhang

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Multi-behavior Recommendation with Graph Convolutional Networks
Bowen Jin | Chen Gao | Xiangnan He | Depeng Jin | Yong Li

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GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation
Ruihong Qiu | Hongzhi Yin | Zi Huang | Tong Chen

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Using Phoneme Representations to Build Predictive Models Robust to ASR Errors
Anjie Fang | Simone Filice | Nut Limsopatham | Oleg Rokhlenko

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Knowledge Enhanced Personalized Search
Shuqi Lu | Zhicheng Dou | Chenyan Xiong | Xiaojie Wang | Ji-Rong Wen

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Streaming Graph Neural Networks
Yao Ma | Ziyi Guo | Zhaochun Ren | Jiliang Tang | Dawei Yin

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Fashion Compatibility Modeling through a Multi-modal Try-on-guided Scheme
Xue Dong | Jianlong Wu | Xuemeng Song | Hongjun Dai | Liqiang Nie

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Degree-Aware Alignment for Entities in Tail
Weixin Zeng | Xiang Zhao | Wei Wang | Jiuyang Tang | Zhen Tan

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Regional Relation Modeling for Visual Place Recognition
Yingying Zhu | Biao Li | Jiong Wang | Zhou Zhao

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Agreement and Disagreement between True and False-Positive Metrics in Recommender Systems Evaluation
Elisa Mena-Maldonado | Rocío Cañamares | Pablo Castells | Yongli Ren | Mark Sanderson

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Leveraging Social Media for Medical Text Simplification
Nikhil Pattisapu | Nishant Prabhu | Smriti Bhati | Vasudeva Varma

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Sampler Design for Implicit Feedback Data by Noisy-label Robust Learning
Wenhui Yu | Zheng Qin

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Towards Question-based Recommender Systems
Jie Zou | Yifan Chen | Evangelos Kanoulas

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Towards Linking Camouflaged Descriptions to Implicit Products in E-commerce
Longtao Huang | Bo Yuan | Rong Zhang | Quan Lu

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Query Resolution for Conversational Search with Limited Supervision
Nikos Voskarides | Dan Li | Pengjie Ren | Evangelos Kanoulas | Maarten de Rijke

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Self-Supervised Reinforcement Learning for Recommender Systems
Xin Xin | Alexandros Karatzoglou | Ioannis Arapakis | Joemon M. Jose

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How Dataset Characteristics Affect the Robustness of Collaborative Recommendation Models
Yashar Deldjoo | Tommaso Di Noia | Eugenio Di Sciascio | Felice Antonio Merra

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DPLCF: Differentially Private Local Collaborative Filtering
Chen Gao | Chao Huang | Dongsheng Lin | Depeng Jin | Yong Li

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Content-aware Neural Hashing for Cold-start Recommendation
Casper Hansen | Christian Hansen | Jakob Grue Simonsen | Stephen Alstrup | Christina Lioma

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The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation
Tobias Schnabel | Saleema Amershi | Paul N. Bennett | Peter Bailey | Thorsten Joachims

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Domain-Adaptive Neural Automated Essay Scoring
Yue Cao | Hanqi Jin | Xiaojun Wan | Zhiwei Yu

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ADORE: Aspect Dependent Online REview Labeling for Review Generation
Parisa Kaghazgaran | Jianling Wang | Ruihong Huang | James Caverlee

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Finding the Best of Both Worlds: Faster and More Robust Top-k Document Retrieval
Omar Khattab | Mohammad Hammoud | Tamer Elsayed

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Modeling Personalized Item Frequency Information for Next-basket Recommendation
Haoji Hu | Xiangnan He | Jinyang Gao | Zhi-Li Zhang

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Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation
Adit Krishnan | Mahashweta Das | Mangesh Bendre | Hao Yang | Hari Sundaram

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Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation
Wenjing Meng | Deqing Yang | Yanghua Xiao

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Next-item Recommendation with Sequential Hypergraphs
Jianling Wang | Kaize Ding | Liangjie Hong | Huan Liu | James Caverlee

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Encoding History with Context-aware Representation Learning for Personalized Search
Yujia Zhou | Zhicheng Dou | Ji-Rong Wen

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Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation
Ziwei Zhu | Shahin Sefati | Parsa Saadatpanah | James Caverlee

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Guided Transformer: Leveraging Multiple External Sources for Representation Learning in Conversational Search
Helia Hashemi | Hamed Zamani | W. Bruce Croft

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Investigating Reference Dependence Effects on User Search Interaction and Satisfaction: A Behavioral Economics Perspective
Jiqun Liu | Fangyuan Han

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Expressions of Style in Information Seeking Conversation with an Agent
Paul Thomas | Daniel McDuff | Mary Czerwinski | Nick Craswell

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A Unified Dual-view Model for Review Summarization and Sentiment Classification with Inconsistency Loss
Hou Pong Chan | Wang Chen | Irwin King

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Enhancing Text Classification via Discovering Additional Semantic Clues from Logograms
Chen Qian | Fuli Feng | Lijie Wen | Li Lin | Tat-Seng Chua

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Web-to-Voice Transfer for Product Recommendation on Voice
Rongting Zhang | Jie Yang

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Joint Aspect-Sentiment Analysis with Minimal User Guidance
Honglei Zhuang | Fang Guo | Chao Zhang | Liyuan Liu | Jiawei Han

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AR-CF: Augmenting Virtual Users and Items in Collaborative Filtering for Addressing Cold-Start Problems
Dong-Kyu Chae | Jihoo Kim | Duen Horng Chau | Sang-Wook Kim

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Studying Product Competition Using Representation Learning
Fanglin Chen | Xiao Liu | Davide Proserpio | Isamar Troncoso | Feiyu Xiong

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Deep Critiquing for VAE-based Recommender Systems
Kai Luo | Hojin Yang | Ga Wu | Scott Sanner

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Learning Efficient Representations of Mouse Movements to Predict User Attention
Ioannis Arapakis | Luis A. Leiva

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Query Reformulation in E-Commerce Search
Sharon Hirsch | Ido Guy | Alexander Nus | Arnon Dagan | Oren Kurland

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Generating Images Instead of Retrieving Them: Relevance Feedback on Generative Adversarial Networks
Antti Ukkonen | Pyry Joona | Tuukka Ruotsalo

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Nonlinear Robust Discrete Hashing for Cross-Modal Retrieval
Zhan Yang | Jun Long | Lei Zhu | Wenti Huang

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Employing Personal Word Embeddings for Personalized Search
Jing Yao | Zhicheng Dou | Ji-Rong Wen

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Query Rewriting for Voice Shopping Null Queries
Iftah Gamzu | Marina Haikin | Nissim Halabi

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Joint-modal Distribution-based Similarity Hashing for Large-scale Unsupervised Deep Cross-modal Retrieval
Song Liu | Shengsheng Qian | Yang Guan | Jiawei Zhan | Long Ying

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Learning Colour Representations of Search Queries
Paridhi Maheshwari | Manoj Ghuhan | Vishwa Vinay

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Web Table Retrieval using Multimodal Deep Learning
Roee Shraga | Haggai Roitman | Guy Feigenblat | Mustafa Canim

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Online Collective Matrix Factorization Hashing for Large-Scale Cross-Media Retrieval
Di Wang | Quan Wang | Yaqiang An | Xinbo Gao | Yumin Tian

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Correlated Features Synthesis and Alignment for Zero-shot Cross-modal Retrieval
Xing Xu | Kaiyi Lin | Huimin Lu | Lianli Gao | Heng Tao Shen

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Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation
Fajie Yuan | Xiangnan He | Alexandros Karatzoglou | Liguang Zhang

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Dynamic Clustering with Discrete Time Event Prediction
Karan Aggarwal | Georgios Theocharous | Anup B. Rao

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Leveraging Transitions of Emotions for Sarcasm Detection
Ameeta Agrawal | Aijun An | Manos Papagelis

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JointMap: Joint Query Intent Understanding For Modeling Intent Hierarchies in E-commerce Search
Ali Ahmadvand | Surya Kallumadi | Faizan Javed | Eugene Agichtein

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Choppy: Cut Transformer for Ranked List Truncation
Dara Bahri | Yi Tay | Che Zheng | Donald Metzler | Andrew Tomkins

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Studying Ransomware Attacks Using Web Search Logs
Chetan Bansal | Pantazis Deligiannis | Chandra Shekhar Maddila | Nikitha Rao

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A Transformer-based Embedding Model for Personalized Product Search
Keping Bi | Qingyao Ai | W. Bruce Croft

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Balancing Reinforcement Learning Training Experiences in Interactive Information Retrieval
Limin Chen | Zhiwen Tang | Grace Hui Yang

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Metadata Matters in User Engagement Prediction
Xiang Chen | Saayan Mitra | Viswanathan Swaminathan

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Context-Aware Term Weighting For First Stage Passage Retrieval
Zhuyun Dai | Jamie Callan

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Summarizing and Exploring Tabular Data in Conversational Search
Shuo Zhang | Zhuyun Dai | Krisztian Balog | Jamie Callan

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Response Quality in Human-Chatbot Collaborative Systems
Jiepu Jiang | Naman Ahuja

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High-Precision Extraction of Emerging Concepts from Scientific Literature
Daniel King | Doug Downey | Daniel S. Weld

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Video Recommendation with Multi-gate Mixture of Experts Soft Actor Critic
Dingcheng Li | Xu Li | Jun Wang | Ping Li

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Auto-annotation for Voice-enabled Entertainment Systems
Wenyan Li | Ferhan Türe

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Domain Adaptation with Reconstruction for Disaster Tweet Classification
Xukun Li | Doina Caragea

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Recipe Retrieval with Visual Query of Ingredients
Yen-Chieh Lien | Hamed Zamani | W. Bruce Croft

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Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection
Zhiwei Liu | Yingtong Dou | Philip S. Yu | Yutong Deng | Hao Peng

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Reranking for Efficient Transformer-based Answer Selection
Yoshitomo Matsubara | Thuy Vu | Alessandro Moschitti

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Combining Contextualized and Non-contextualized Query Translations to Improve CLIR
Suraj Nair | Petra Galuscáková | Douglas W. Oard

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Proactive Suggestion Generation: Data and Methods for Stepwise Task Assistance
Elnaz Nouri | Robert Sim | Adam Fourney | Ryen W. White

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Towards Explainable Retrieval Models for Precision Medicine Literature Search
Jiaming Qu | Jaime Arguello | Yue Wang

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Search Result Explanations Improve Efficiency and Trust
Jerome Ramos | Carsten Eickhoff

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Query by Example for Cross-Lingual Event Retrieval
Sheikh Muhammad Sarwar | James Allan

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A Study of Methods for the Generation of Domain-Aware Word Embeddings
Dominic Seyler | ChengXiang Zhai

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Predicting Entity Popularity to Improve Spoken Entity Recognition by Virtual Assistants
Christophe Van Gysel | Manos Tsagkias | Ernest Pusateri | Ilya Oparin

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Data Poisoning Attacks against Differentially Private Recommender Systems
Soumya Wadhwa | Saurabh Agrawal | Harsh Chaudhari | Deepthi Sharma | Kannan Achan

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Immersive Search: Using Virtual Reality to Examine How a Third Dimension Impacts the Searching Process
Austin R. Ward | Robert G. Capra

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Having Your Cake and Eating it Too: Training Neural Retrieval for Language Inference without Losing Lexical Match
Vikas Yadav | Steven Bethard | Mihai Surdeanu

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Neural Concept Map Generation for Effective Document Classification with Interpretable Structured Summarization
Carl Yang | Jieyu Zhang | Haonan Wang | Bangzheng Li | Jiawei Han

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A Case Study of Multi-class Classification with Diversified Precision Recall Requirements for Query Disambiguation
Yingrui Yang | Christopher Miller | Peng Jiang | Azadeh Moghtaderi

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A Study of Neural Matching Models for Cross-lingual IR
Puxuan Yu | James Allan

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Social Media User Geolocation via Hybrid Attention
Cheng Zheng | Jyun-Yu Jiang | Yichao Zhou | Sean D. Young | Wei Wang

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Personalized Query Suggestions
Jianling Zhong | Weiwei Guo | Huiji Gao | Bo Long

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Feature Transformation for Neural Ranking Models
Honglei Zhuang | Xuanhui Wang | Michael Bendersky | Marc Najork

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MetaGen: An academic Meta-review Generation system
Chaitanya Bhatia | Tribikram Pradhan | Sukomal Pal

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Hier-SPCNet: A Legal Statute Hierarchy-based Heterogeneous Network for Computing Legal Case Document Similarity
Paheli Bhattacharya | Kripabandhu Ghosh | Arindam Pal | Saptarshi Ghosh

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A Pairwise Probe for Understanding BERT Fine-Tuning on Machine Reading Comprehension
Jie Cai | Zhengzhou Zhu | Ping Nie | Qian Liu

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Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems
Yuanjiang Cao | Xiaocong Chen | Lina Yao | Xianzhi Wang | Wei Emma Zhang

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Bundle Recommendation with Graph Convolutional Networks
Jianxin Chang | Chen Gao | Xiangnan He | Depeng Jin | Yong Li

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JIT2R: A Joint Framework for Item Tagging and Tag-based Recommendation
Xu Chen | Changying Du | Xiuqiang He | Jun Wang

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Attending to Inter-sentential Features in Neural Text Classification
Billy Chiu | Sunil Kumar Sahu | Neha Sengupta | Derek Thomas | Mohammady Mahdy

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Deep Neural Matching Models for Graph Retrieval
Kunal Goyal | Utkarsh Gupta | Abir De | Soumen Chakrabarti

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Session-based Recommendation with Hierarchical Leaping Networks
Cheng Guo | Mengfei Zhang | Jinyun Fang | Jiaqi Jin | Mao Pan

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Multi-Branch Convolutional Network for Context-Aware Recommendation
Wei Guo | Can Zhang | Huifeng Guo | Ruiming Tang | Xiuqiang He

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Predicting Session Length for Product Search on E-commerce Platform
Shashank Gupta | Subhadeep Maji

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Dynamic Link Prediction by Integrating Node Vector Evolution and Local Neighborhood Representation
Xiaorong Hao | Tao Lian | Li Wang

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Nonintrusive-Sensing and Reinforcement-Learning Based Adaptive Personalized Music Recommendation
Daocheng Hong | Yang Li | Qiwen Dong

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Residual-Duet Network with Tree Dependency Representation for Chinese Question-Answering Sentiment Analysis
Guangyi Hu | Chongyang Shi | Shufeng Hao | Yu Bai

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Detecting Concept Drift In Medical Triage
Hamish Huggard | Yun Sing Koh | Gillian Dobbie | Edmond Zhang

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Evidence Weighted Tree Ensembles for Text Classification
Md. Zahidul Islam | Jixue Liu | Jiuyong Li | Lin Liu | Wei Kang

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Graph Regularization for Multi-lingual Topic Models
Arnav Kumar Jain | Gundeep Arora | Rahul Agrawal

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Multi-Modal Summary Generation using Multi-Objective Optimization
Anubhav Jangra | Sriparna Saha | Adam Jatowt | Mohammad Hasanuzzaman

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A Re-visit of the Popularity Baseline in Recommender Systems
Yitong Ji | Aixin Sun | Jie Zhang | Chenliang Li

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Training Mixed-Objective Pointing Decoders for Block-Level Optimization in Search Recommendation
Harsh Kohli

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Reinforcement Learning based Recommendation with Graph Convolutional Q-network
Yu Lei | Hongbin Pei | Hanqi Yan | Wenjie Li

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Crowdsourced Text Sequence Aggregation based on Hybrid Reliability and Representation
Jiyi Li

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MRIF: Multi-resolution Interest Fusion for Recommendation
Shihao Li | Dekun Yang | Bufeng Zhang

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Joint Training Capsule Network for Cold Start Recommendation
Tingting Liang | Congying Xia | Yuyu Yin | Philip S. Yu

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Copula Guided Neural Topic Modelling for Short Texts
Lihui Lin | Hongyu Jiang | Yanghui Rao

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Soft Kernel-based Ranking on a Statistical Manifold
Xinshi Lin | Wai Lam

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Chinese Document Classification with Bi-directional Convolutional Language Model
Bin Liu | Guosheng Yin

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Neural Unified Review Recommendation with Cross Attention
Hongtao Liu | Wenjun Wang | Hongyan Xu | Qiyao Peng | Pengfei Jiao

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GoChat: Goal-oriented Chatbots with Hierarchical Reinforcement Learning
Jianfeng Liu | Feiyang Pan | Ling Luo

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CapableOf Reasoning: A Step Towards Commonsense Oracle
Jingping Liu | Yanghua Xiao | Ao Wang | Liang He | Bin Shao

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Interactive Entity Linking Using Entity-Word Representations
Pei-Chi Lo | Ee-Peng Lim

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Improving Contextual Language Models for Response Retrieval in Multi-Turn Conversation
Junyu Lu | Xiancong Ren | Yazhou Ren | Ao Liu | Zenglin Xu

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Differentially Private Knowledge Distillation for Mobile Analytics
Lingjuan Lyu | Chi-Hua Chen

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Towards Differentially Private Text Representations
Lingjuan Lyu | Yitong Li | Xuanli He | Tong Xiao

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Large-scale Image Retrieval with Sparse Binary Projections
Changyi Ma | Chonglin Gu | Wenye Li | Shuguang Cui

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Efficiency Implications of Term Weighting for Passage Retrieval
Joel M. Mackenzie | Zhuyun Dai | Luke Gallagher | Jamie Callan

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An Intent-guided Collaborative Machine for Session-based Recommendation
Zhiqiang Pan | Fei Cai | Yanxiang Ling | Maarten de Rijke

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Rethinking Item Importance in Session-based Recommendation
Zhiqiang Pan | Fei Cai | Yanxiang Ling | Maarten de Rijke

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MHM: Multi-modal Clinical Data based Hierarchical Multi-label Diagnosis Prediction
Zhi Qiao | Zhen Zhang | Xian Wu | Shen Ge | Wei Fan

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How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements
Noveen Sachdeva | Julian J. McAuley

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Dual Learning Algorithm for Delayed Conversions
Yuta Saito | Gota Morishita | Shota Yasui

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Evaluation of Cross Domain Text Summarization
Liam Scanlon | Shiwei Zhang | Xiuzhen Zhang | Mark Sanderson

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Improving Matching Models with Hierarchical Contextualized Representations for Multi-turn Response Selection
Chongyang Tao | Wei Wu | Yansong Feng | Dongyan Zhao | Rui Yan

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Visual Intents vs. Clicks, Likes, and Purchases in E-commerce
Riku Togashi | Tetsuya Sakai

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MVL: Multi-View Learning for News Recommendation
T. Y. S. S. Santosh | Avirup Saha | Niloy Ganguly

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Query/Task Satisfaction and Grid-based Evaluation Metrics Under Different Image Search Intents
Kosetsu Tsukuda | Masataka Goto

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Investigating Reading Behavior in Fine-grained Relevance Judgment
Zhijing Wu | Jiaxin Mao | Yiqun Liu | Min Zhang | Shaoping Ma

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Symmetric Regularization based BERT for Pair-wise Semantic Reasoning
Weidi Xu | Xingyi Cheng | Kunlong Chen | Taifeng Wang

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A Knowledge-Enhanced Recommendation Model with Attribute-Level Co-Attention
Deqing Yang | Zengchun Song | Lvxin Xue | Yanghua Xiao

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Multi-source Domain Adaptation for Sentiment Classification with Granger Causal Inference
Min Yang | Ying Shen | Xiaojun Chen | Chengming Li

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Query Classification with Multi-objective Backoff Optimization
Hang Yu | Lester Litchfield

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FinIR 2020: The First Workshop on Information Retrieval in Finance
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EARS 2020: The 3rd International Workshop on ExplainAble Recommendation and Search
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