SIGIR2019 接收论文列表

【导读】SIGIR 将在7月21-25日在Paris展开，日前，大会主办方发布了大会接收论文列表。特此编译如下，并对各位作者表示祝贺！

【SIGIR简介】

SIGIR是一个展示信息检索领域中各种新技术和新成果的重要国际论坛，SIGIR 专注于信息存储、检索和传播的各个方面，包括研究战略、输出方案和系统评估。

长文

A Capsule Network for Recommendation and Explaining What You Like and Dislike

Chenliang Li, Cong Quan, Peng Li, Yunwei Qi, Yuming Deng and Libing Wu

Recommendation Systems | User Reviews | Deep Learning

A Collaborative Session-based Recommendation Approach with Parallel Memory Modules

Meirui Wang, Pengjie Ren, Lei Mei, Zhumin Chen, Jun Ma and Maarten de Rijke

Collaborative modeling | Session-based recommendation | Memory network

A General Framework for Counterfactual Learning-to-Rank

Aman Agarwal, Kenta Takatsu, Ivan Zaitsev and Thorsten Joachims

Unbiased learning to rank | Discounted Cumulative Gain | counterfactual inference

A Neural Influence Diffusion Model for Social Recommendation

Le Wu, Peijie Sun, Richang Hong, Yanjie Fu, Xiting Wang and Meng Wang

social diffusion | social recommendation | influence propagation

Accelerated Query Processing Via Similarity Score Prediction

Matthias Petri, Alistair Moffat, Joel Mackenzie, Shane Culpepper and Daniel Beck

inverted index | query processing | dynamic pruning | WAND processing | efficiency |web search

Adaptive Multi-Attention Network Incorporating Answer Information for Duplicate Question Detection

Di Liang, Fubao Zhang, Weidong Zhang, Qi Zhang, Jinlan Fu, Minlong Peng, Tao Gui and Xuanjing Huang

duplicate question detection | adaptive multi-attention | community-based question answer

Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist Continuation

Thanh Tran, Renee Sweeney and Kyumin Lee

recommendation | memory metric based attention | automatic playlist continuation |mahalanobis distance | adversarial learning

An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation

Chong Chen, Min Zhang, Chenyang Wang, Weizhi Ma, Minming Li, Yiqun Liu and Shaoping Ma

Recommender Systems | Adaptive Transfer Learning | Whole-data based Learning |Social Connections | Implicit Feedback

Answering Complex Questions by Joining Multi-Document Evidence with Quasi Knowledge Graphs

Xiaolu Lu, Soumajit Pramanik, Rishiraj Saha Roy, Abdalghani Abujabal, Yafang Wang and Gerhard Weikum

Question answering from the Web | Direct answers | Complex questions | Group Steiner Trees

Asking Clarifying Questions in Open-Domain Information-Seeking Conversations

Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani and Bruce Croft

conversational search | clarifying questions | ad-hoc retrieval

Bayesian Personalized Feature Interaction Selection for Factorization Machines

Yifan Chen, Pengjie Ren, Yang Wang and Maarten de Rijke

Personalized Feature Interaction Selection | Bayesian Variable Selection | Factorization Machines | Recommender Systems

Bridging Gaps: Predicting User and Task Characteristics from Partial User Information

Matthew Mitsui and Chirag Shah

task prediction | task classification | interactive information retrieval | task type | user behavior | structure learning | bayesian networks

CROSS: Cross-platform Recommendation for Online Shopping in Social Media

Tzu-Heng Lin, Chen Gao and Yong Li

Recommender Systems | Collaborative Filtering | Social Media

CTRec: A Long-Short Demands Evolution Model for Continuous-Time Recommendation

Ting Bai, Lixin Zou, Xin Zhao, Pan Du, Weidong Liu, Jian-Yun Nie and Ji-Rong Wen

Continuous-Time Recommendation | Long-Short Demands | Demand-Aware Hawkes Process | Self-Attentive Mechanism

Compositional Coding for Collaborative Filtering

Chenghao Liu, Tao Lu, Xin Wang, Zhiyong Cheng, Jianling Sun and Steven C.H. Hoi

collaborative filtering | hashing | compositional coding

Context Attentive Document Ranking and Query Suggestion

Wasi Ahmad, Kai-Wei Chang and Hongning Wang

Search tasks | document ranking | query suggestion | neural IR models

Context-Aware User Intents Identification in Email Conversations

Wei Wang, Saghar Hosseini, Ahmed Hassan Awadallah, Paul Bennett and Chris Quirk

Email Intent Understanding | Actionable Intents | Context Augmented Classification

Controlling Risk of Web Question Answering

Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan and Xueqi Cheng

Web QA | Question Answering | Machine Reading Comprehension

Cross-Modal Interaction Networks for Query-Based Moment Retrieval in Videos

Zhu Zhang, Zhijie Lin, Zhou Zhao and Zhenxin Xiao

Query-Based Moment Retrieval | Syntactic GCN | Multi-Head Self-Attention | Multi-Stage Cross-Modal Interaction

Deep Reinforcement Learning over Knowledge Graph Inference for E-Commerce Recommendation

Yikun Xian, Zuohui Fu, S. Muthukrishnan, Gerard de Melo and Yongfeng Zhang

Recommendation System | Reinforcement Learning | KnowledgeGraphs |Explainability

DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases

Zhiqing Sun, Jian Tang, Pan Du, Zhi-Hong Deng and Jian-Yun Nie

graph neural networks | keyphrase extraction | diversified pointer network | document-level word salience

Document Gated Reader for Open Domain Question Answering

Bingning Wang, Zhixing Tian, Kang Liu, Jun Zhao, Ting Yao, Qi Zhang and Jingfang Xu

Question Answering | Open Domain Question Answering | Machine Comprehension

Domain Adaptation for Enterprise Search

Brandon Tran, Maryam Karimzadehgan, Rama Pasumarthi, Michael Bendersky and Donald Metzler

Enterprise Search | Domain Adaptation | Learning-to-rank

ENT Rank: Retrieving Entities for Topical Information Needs through Entity-Neighbor-Text Relations

Laura Dietz

entity retrieval | learning to rank | joint text-entity retrieval

Effects of User Negative Experience in Mobile News Streaming

Hongyu Lu, Min Zhang, Wezhi Ma, Ce Wang, Feng Xia, Yiqun Liu, Leyu Lin and Shaoping Ma

Negative Experience | News Streaming | User Behavior Modeling | User Satisfaction |Log Analysis

EnsembleGAN: Adversarial Learning for Retrieval-Generation Ensemble Model on Short-Text Conversation

Jiayi Zhang, Chongyang Tao, Zhenjing Xu, Qiaojing Xie, Wei Chen and Rui Yan

Retrieval-based dialogue systems | Generative-based dialogue systems | Ensemble model

Exploiting Similarity Evidence in Synthetic Documents for Meta-Feature Generation in Text Classification

Sergio Canuto, Thiago Salles, Thierson Couto Rosa and Marcos Goncalves

Meta-Features | Text Classification | Synthetic Documents

Fast Approximate Filtering of Search Results Sorted by Attribute

Roberto Trani, Franco Maria Nardini and Rossano Venturini

Relevance-aware Filtering | Approximation Algorithm | Efficiency-Effectiveness trade-off

Finding Camouflaged Needle in a Haystack? Pornographic Products Detection via Berrypicking Tree Model

Guoxiu He, Yangyang Kang, Zhe Gao, Zhuoren Jiang, Changlong Sun, Xiaozhong Liu, Wei Lu, Qiong Zhang and Luo Si

Spam Detection | Information Seeking | User Behavior | Query Log Analysis | Deep Neural Network

Generic Intent Representation in Web Search

Hongfei Zhang, Xia Song, Chenyan Xiong, Corby Rosset, Paul Bennett, Nick Craswell and Saurabh Tiwary

Generic Intent Encoding | Query Embedding | User Intent Understanding

Harvesting Drug Effectiveness from Social Media

Zi Chai, Xiaojun Wan, Zhao Zhang and Minjie Li

Drug effectiveness discovery | Relation extraction | Social media mining | Graph-based Information Transfers Over Time

Hate Speech Detection is Not as Easy as You May Think: A Closer Look at Model Validation

Aymé Arango, Jorge Perez and Barbara Poblete

hate speech detection | hate speech classification | experimental validation |benchmark datasets | deep learning | social media

Health Cards for Consumer Health Search

Jimmy Jimmy, Guido Zuccon, Bevan Koopman and Gianluca Demartini

Health cards | Consumer health search | User study

Hierarchical Matching Network for Crime Classification

Pengfei Wang, Yu Fan, Yongfeng Zhang, Shuzi Niu, Ze Yang and Jiafeng Guo

Hierarchical multi-label classification | Crime Classification | Hierarchical Matching Network

Hot Topic-Aware Retweet Prediction with Masked Self-attentive Model

Renfeng Ma, Qi Zhang, Xiangkun Hu, Xuanjing Huang and Yu-Gang Jiang

Retweet prediction | Hot topics | Social Medias

Human Behavior Inspired Machine Reading Comprehension

Yukun Zheng, Jiaxin Mao, Yiqun Liu, Zixin Ye, Min Zhang and Shaoping Ma

Reading comprehension | Reading behavior model | User behavior analysis | Eye tracking

Identifying Entity Properties from Text with Zero-shot Learning

Wiradee Imrattanatrai, Makoto P. Kato and Masatoshi Yoshikawa

Sentence classification | Property identification | Property embedding

Improving the Accuracy of System Performance Estimation by Using Shards

Nicola Ferro and Mark Sanderson

effectiveness model | ANOVA | multiple comparison

Information Needs, Queries, and Query Performance Prediction

Oleg Zendel, Anna Shtok, Fiana Raiber, Oren Kurland and Shane Culpepper

query-performance prediction | query variations | reference queries

Interact and Decide: Medley of Sub-Attention Networks for Effective Group Recommendation

Lucas Vinh Tran, Tuan-Anh Nguyen Pham, Yi Tay, Yiding Liu, Gao Cong and Xiaoli Li

Recommender Systems | Group Recommendation | Collaborative Filtering | Neural Attention Mechanism

Interpretable Fashion Matching with Rich Attributes

Xun Yang, Xiangnan He, Xiang Wang, Yunshan Ma, Fuli Feng, Meng Wang and Tat-Seng Chua

Fashion matching | Information Retrieval | Multimedia Recommendation

Intervention Harvesting for Context-Dependent Examination-Bias Estimation

Zhichong Fang, Aman Agarwal and Thorsten Joachims

propensity estimation | unbiased learning to rank | counterfactual learning

Investigating Passage-level Relevance and Its Role in Document-level Relevance Judgment

Zhijing Wu, Jiaxin Mao, Yiqun Liu, Min Zhang and Shaoping Ma

relevance judgment | passage relevance aggregation | relevance model

Jointly Modeling Relevance and Sensitivity for Search Among Sensitive Content

Mahmoud F. Sayed and Douglas W. Oard

Learning to rank | Sensitivity review | Evaluation

Knowledge Tracing with Sequential Key-Value Memory Network

Ghodai Abdelrahman and Qing Wang

Knowledge | Memory | Neural | Fuzzy | Sequence | Education | Learning | Tracing |Augmented

Learning from Fact-checkers: Analysis and Generation of Fact-checking Language

Nguyen Vo and Kyumin Lee

fake news | fact-checking | misinformation

Legal Intelligence, E-Commerce, Multiview Dispute Representation, Multi-task Learning

Xin Zhou, Yating Zhang, Xiaozhong Liu, Changlong Sun and Luo Si

Legal Intelligence | E-Commerce | Multiview Dispute Representation | Multi-task Learning

Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction

Kan Ren, Jiarui Qin, Yuchen Fang, Weinan Zhang, Lei Zheng, Weijie Bian, Guorui Zhou, Jian Xu, Yong Yu, Xiaoqiang Zhu and Kun Gai

User Response Prediction | Lifelong Sequential Modeling | Memory Network

Mention Recommendation in Twitter with Cooperative Multi-Agent Reinforcement Learning

Tao Gui, Peng Liu, Qi Zhang, Liang Zhu, Minlong Peng, Yunhua Zhou and Xuanjing Huang

Social Media | Mention Recommendation | Reinforcement Learning

Multi-view Embedding-based Synonyms for Personal Search

Cheng Li, Mingyang Zhang, Michael Bendersky, Hongbo Deng, Donald Metzler and Marc Najork

embedding | synonym expansion | email search

Neural Graph Collaborative Filtering

Xiang Wang, Xiangnan He, Meng Wang, Fuli Feng and Tat-Seng Chua

Collaborative Filtering | Recommendation | Higher-order Connectivity | Embedding Propagation | Neural Recommender Model

Neural-Network Lexical Translation for Cross-lingual IR from Text and Speech

Rabih Zbib, Lingjun Zhao, Damianos Karakos, William Hartmann, Jay DeYoung, Zhongqiang Huang, Zhuolin Jiang, Noah Rivkin, Le Zhang, Richard Schwartz and John Makhoul

information retrieval | neural networks | machine translation | automatic speech recognition

Noise Contrastive Estimation for One-Class Collaborative Filtering

Ga Wu, Maksims Volkovs, Chee Loong Soon, Scott Sanner and Himanshu Rai

Linear Recommendation System | Collaborative Filtering | Noise Contrastive Estimation

One-Class Order Embedding Learning for Dependency Relation Prediction

Meng-Fen Chiang, Ee-Peng Lim, Wang-Chien Lee, Xavier Jayaraj Siddarth Ashok and Philips Kokoh Prasetyo

Vector-based Order Embedding | Negative Sampling Strategy | Dependency Relation Prediction | Knowledge Base Completion

Online Multi-modal Hashing with Dynamic Query-adaption

Xu Lu, Lei Zhu, Zhiyong Cheng, Liqiang Nie and Huaxiang Zhang

Online multi-modal hashing | Efficient discrete optimization | Dynamic query-adaption| Self-weighted

Online User Representation Learning Across Heterogeneous Social Networks

Weiqing Wang, Hongzhi Yin, Xingzhong Du, Wen Hua, Yongjun Li and Quoc Viet Hung Nguyen

user modelling | user linkage | social networks

Optimal Freshness Crawl Under Politeness Constraints

Andrey Kolobov, Yuval Peres, Eyal Lubetzky and Eric Horvitz

politeness constraints | crawl scheduling | convex optimization | index freshness

Outline Generation: Understanding the Inherent Content Structure of Documents

Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan and Xueqi Cheng

Outline generation | Coherence | Hierarchical structured prediction

PSGAN: A Minimax Game for Personalized Search with Limitedand Noisy Click Data

Shuqi Lu, Zhicheng Dou, Jun Xu, Jian-Yun Nie and Ji-Rong Wen

search results personalization | generative adversarial networks | personalize search

Personal Knowledge Base Construction from Text-based Lifelogs

An-Zi Yen, Hen-Hsen Huang and Hsin-Hsi Chen

Lifelogging | Life event detection | Personal knowledge base construction | Social media

Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network

Xu Chen, Hanxiong Chen, Hongteng Xu, Yongfeng Zhang, Yixin Cao, Hongyuan Zha and Zheng Qin

Recommender system | Fashion recommendation | Collaborative filtering

Privacy-aware Document Ranking with Neural Signals

Jinjin Shao, Shiyu Ji and Tao Yang

Neural ranking models | Privacy and relevance tradeoffs | Top K document search |Learning-to-rank tree ensembles

Prototype-guided Attribute-wise Interpretable Scheme for Clothing Matching

Xianjing Han, Xuemeng Song, Jianhua Yin, Yinglong Wang and Liqiang Nie

Compatibility modeling | Fashion analysis | Neural networks | Interpretable representation

Quantifying and Alleviating the Language Prior Problem in Visual Question Answering

Yangyang Guo, Zhiyong Cheng, Liqiang Nie, Yibing Liu, Yinglong Wang and Mohan Kankanhalli

Visual Question Answering | Language Prior | Evaluation Metric

Relational Collaborative Filtering:Modeling Multiple Item Relations for Recommendation

Xin Xin, Xiangnan He, Yongfeng Zhang, Yongdong Zhang and Joemon Jose

Collaborative Filtering | Attention | Relation Learning

Revisiting Online Personal Search Metrics with the User in Mind

Azin Ashkan and Donald Metzler

Online quality metrics | Information retrieval evaluation | Personal search | Online experiments

Scalable Deep Multimodal Learning for Cross-Modal Retrieval

Peng Hu, Liangli Zhen, Dezhong Peng and Pei Liu

cross-modal retrieval | multimodal learning | representation learning

Statistical Significance Tests in Information Retrieval: An Empirical Analysis of Type I and Type II Errors

Julián Urbano, Harlley de Lima and Alan Hanjalic

Evaluation | Statistical significance | Student's t-test | Wilcoxon test | Sign test |Bootstrap test | Permutation test | Simulation | Type I and Type II errors

Supervised Hierarchical Cross-Modal Hashing

Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang and Liqiang Nie

Cross-modal Retrieval | Hashing | Hierarchy | Discriminant analysis

Task Completion Detection

Ryen White, Ahmed Hassan Awadallah and Robert Sim

Tasks | Task completion | Intelligent assistants

Teach Machine How to Read: Reading Behavior Inspired Relevance Estimation

Xiangsheng Li, Jiaxin Mao, Chao Wang, Yiqun Liu, Min Zhang and Shaoping Ma

Reading behavior | Retrieval model | Reinforcement learning

The FacT: Taming Latent Factor Models for Explainability with Factorization Trees

Yiyi Tao, Yiling Jia, Nan Wang, Aobo Yang and Hongning Wang

Explainable Recommendation | Decision Tree | Sentiment Analysis | Latent Factor Models

To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User Interactions

Rolf Jagerman, Harrie Oosterhuis and Maarten de Rijke

learning to rank | online learning | counterfactual learning | unbiased learning to rank

Transparent, Scrutable and Explainable User Models for Personalized Recommendation

Krisztian Balog, Filip Radlinski and Shushan Arakelyan

Recommendation | Transparency | Scrutability

Triple-to-Text: Converting RDF Triples into High Quality Natural Languages via Optimizing an Inverse KL Divergence

Yaoming Zhu, Juncheng Wan, Zhiming Zhou, Liheng Chen, Lin Qiu, Weinan Zhang, Xin Jiang and Yong Yu

Natural Language Generation | Knowledge Representation | Knowledge Bases

Unified Collaborative Filtering over Graph Embeddings with Attentive Model Selection

Pengfei Wang, Hanxiong Chen, Yadong Zhu, Huawei Shen and Yongfeng Zhang

Sequential Recommendation Path | Attention Mechanism | Model Selection

Unsupervised Neural Generative Semantic Hashing

Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup and Christina Lioma

Unsupervised semantic hashing | Deep learning | Generative model | Document ranking

User Attention-guided Multimodal Dialog Systems

Chen Cui, Wenjie Wang, Xuemeng Song, Minlie Huang, Xin-Shun Xu and Liqiang Nie

Multimodal Dialog Systems | Multimodal Response Generation | Multimodal Utterance Encoder | Taxonomy-attribute Combined Tree | Attribute-level User Attention

Variance Reduction in Gradient Exploration for Online Learning to Rank

Huazheng Wang, Sonwoo Kim, Eric McCord-Snook, Qingyun Wu and Hongning Wang

Online Learning to Rank | Dueling Bandit | Variance Reduction

Video Dialog via Multi-Grained Convolutional Self-Attention Context Networks

Weike Jin, Zhou Zhao, Mao Gu, Jun Yu, Jun Xiao and Yueting Zhuang

video dialog | multi-grained self-attention | conversation | convolution

Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings

Feiyang Pan, Shuokai Li, Xiang Ao, Pingzhong Tang and Qing He

CTR Prediction | Online Advertising | Cold-Start | Meta-Learning

Which Diversity Evaluation Measures Are ``Good''?

Tetsuya Sakai and Zhaohao Zeng

evaluation measures | search result diversification | user preferences

Why do users issue good queries? Neural correlates of term specificity

Lauri Kangassalo, Michiel Sovijärvi-Spaṕe, Giulio Jacucci and Tuukka Ruotsalo

Term specificity | Neurophysiological signals | EEG

π-Net: A Parallel Information-sharing Network for Cross-domain Shared-account Sequential Recommendations

Muyang Ma, Pengjie Ren, Yujie Lin, Zhumin Chen, Jun Ma and Maarten de Rijke

Cross-domain recommendation | Shared-account recommendation | Sequential recommendation | Transfer modeling

短文

A Context-based Framework for Resource Citation Classification in Scientific Literatures

He Zhao, Chong Feng, Zhunchen Luo and Yuming Ye

A Dataset of Systematic Reviews Updates

Amal Alharbi and Mark Stevenson

A Lightweight Representation of News Events on Social Media

Mauricio Quezada and Barbara Poblete

A New Perspective on Score Standardization

Julián Urbano, Harlley de Lima and Alan Hanjalic

A Scalable Virtual Document-Based Keyword Search System for RDF Datasets

Dennis Dosso and Gianmaria Silvello

A Study on Agreement in PICO Span Annotations

Grace E. Lee and Aixin Sun

A Systematic Comparison of Methods for Finding Good Premises for Claims

Lorik Dumani and Ralf Schenkel

A horizontal patent test collection

Mihai Lupu, Alexandros Bampoulidis and Luca Papariello

A study on the Interpretability of Neural Retrieval Models using DeepSHAP

Zeon Trevor Fernando, Jaspreet Singh and Avishek Anand

ABCPRec: Adaptively Bridging Consumer and Producer Roles for User-Generated Content Recommendation

Kosetsu Tsukuda, Satoru Fukayama and Masataka Goto

Accelerating Exact Inner Product Retrieval by CPU-GPU System

Long Xiang, Bo Tang and Chuan Yang

Addressing Vocabulary Gap in E-commerce Search

Subhadeep Maji, Kalyani Roy, Rohan Kumar, Manish Bansal, Mohit Kumar and Pawan Goyal

Adversarial Collaborative Neural Network for Robust Recommendation

Feng Yuan, Lina Yao and Boualem Benatallah

Adversarial Training for Review-Based Recommendations

Dimitrios Rafailidis and Fabio Crestani

An Analysis of Query Reformulation Techniques for Precision Medicine

Maristella Agosti, Giorgio Maria Di Nunzio and Stefano Marchesin

An Analysis of the Change in Discussions on Social Media with Bitcoin Price

Andrew Burnie and Emine Yilmaz

Analyzing and Predicting News Popularity in an Instant Messaging Service

Mohammad Naseri and Hamed Zamani

Answer-enhanced Path-aware Relation Detection over Knowledge Base

Daoyuan Chen, Hai-Tao Zheng, Min Yang, Yaliang Li and Ying Shen

Argument Search: Assessing Argument Relevance

Martin Potthast, Lukas Gienapp, Florian Euchner, Nick Heilenkötter, Nico Weidmann, Henning Wachsmuth, Benno Stein and Matthias Hagen

Automatic Task Completion Flows from Web APIs

Kyle Williams, Seyyed Hadi Hashemi and Imed Zitouni

Axiomatic Regularization for Neural Information Retrieval

Corby Rosset, Bhaskar Mitra, Chenyan Xiong, Nick Craswell, Xia Song and Saurabh Tiwary

Block-distributed Gradient Boosted Trees

Theodore Vasiloudis, Hyunsu Cho and Henrik Boström

Check That! Combining the Information Nutritional Label and Word Embedding to Estimate Information Check-Worthiness

Cédric Lespagnol, Josiane Mothe and Md Zia Ullah

Cleaned Similarity for Better Memory-Based Recommenders

Farhan Khawar and Nevin L. Zhang

Coarse-to-Fine Grained Classification

Yuqi Huo, Yao Lu, Yulei Niu, Zhiwu Lu and Ji-Rong Wen

Content-Based Weak Supervision for Ad-Hoc Re-Ranking

Sean MacAvaney, Andrew Yates, Kai Hui and Ophir Frieder

Contextualized Word Representations for Document Re-Ranking

Sean Macavaney, Andrew Yates, Arman Cohan and Nazli Goharian

Contextually Propagated Word Embeddings for Document Representation

Casper Hansen, Christian Hansen, Stephen Alstrup, Jakob Grue Simonsen and Christina Lioma

Decoding the Style and Bias of Song Lyrics

Manash Pratim Barman, Amit Awekar and Sambhav Kothari

Deep Collaborative Discrete Hashing with Semantic-Invariant Structure

Zijian Wang, Zheng Zhang, Yadan Luo and Zi Huang

Deep Distribution Network: Addressing the Data Sparsity Issue for Top-N Recommendation

Lei Zheng, Chaozhuo Li, Chun-Ta Lu, Jiawei Zhang and Philip Yu

Deeper Text Understanding for IR with Contextual Neural Language Modeling

Zhuyun Dai and Jamie Callan

Developing Evaluation Metrics for Instant Search Using Mixed Methods

Praveen Chandar, Jean Garcia-Gathright, Christine Hosey, Brian St. Thomas and Jennifer Thom

Dynamic Sampling Meets Pooling

Gordon Cormack, Haotian Zhang, Nimesh Ghelani, Mustafa Abualsaud, Mark Smucker, Maura Grossman, Shahin Rahbariasl and Amira Ghenai

Effective Medical Archives Processing Using Knowledge Graphs

Xiaoli Wang, Rongzhen Wang, Zhifeng Bao, Jiayin Liang and Wei Lu

Efficient Corpus-based Set Expansion with Lexico-syntactic Features and Distributed Representations

Puxuan Yu, Zhiqi Huang, Razieh Rahimi and James Allan

Embedding Edge-attributed Relational Hierarchies

Muhao Chen and Chris Quirk

Encoding Syntactic Dependency and Topical Information for Social Emotion Classification

Chang Wang, Bang Wang, Wei Xiang and Minghua Xu

Enhanced News Retrieval: Passages Lead the Way!

Matteo Catena, Ophir Frieder, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego and Nicola Tonellotto

Ensembles of Recurrent Networks for Classifying the Relationship of Fake News Titles

Mathilda Su, Craig Macdonald and Iadh Ounis

Evaluating Resource-Lean Cross-Lingual Embedding Models in Unsupervised Retrieval

Robert Litschko, Goran Glavaš, Ivan Vulić and Laura Dietz

Evaluating Variable-Length Multiple-Option Lists in Chatbots and Mobile Search

Pepa Atanasova, Georgi Karadzhov, Yasen Kiprov, Fabrizio Sebastiani and Preslav Nakov

FAQ Retrieval Using Attentive Matching

Sparsh Gupta and Vitor Carvalho

FAQ Retrieval using Query-Question Similarity and BERT-Based Query-Answer Relevance

Wataru Sakata, Tomohide Shibata, Ribeka Tanaka and Sadao Kurohashi

From Text to Sound: a Preliminary Study on Retrieving Sound Effects to Radio Stories

Songwei Ge, Curtis Xuan, Ruihua Song, Chao Zou, Wei Liu and Jin Zhou

Gated Spectral Units: Modeling Co-evolving Patterns for Sequential Recommendation

Lei Zheng, Ziwei Fan, Chun-Ta Lu, Jiawei Zhang and Philip Yu

Graph Intention Network for Click-through Rate Prediction in Sponsored Search

Feng Li, Zhenrui Chen, Pengjie Wang, Yi Ren, Di Zhang and Xiaoyu Zhu

Help Me Search: Leveraging User-System Collaboration for Query Construction to Improve Accuracy for Difficult Queries

Saar Kuzi, Abhishek Narwekar, Anusri Pampari and Chengxiang Zhai

History Modeling for Conversational Question Answering

Chen Qu, Liu Yang, Minghui Qiu, Bruce Croft, Yongfeng Zhang and Mohit Iyyer

How to deal with scarse annotations in question answering

Emmanuel Vallee, Delphine Charlet, Gabriel Marzinotto, Fabrice Clérot and Frank Meyer

Hyperlink Classification via Structured Graph Embedding

Geon Lee, Seonggoo Kang and Joyce Whang

Improving Collaborative Metric Learning with Efficient Negative Sampling

Viet Anh Tran, Romain Hennequin, Jimena Royo-Letelier and Manuel Moussallam

Information Cascades Modeling via Deep Multi-Task Learning

Xueqin Chen, Kunpeng Zhang, Fan Zhou, Goce Trajcevski, Ting Zhong and Fengli Zhang

Investigating the Interplay Between Searchers' Privacy Concerns and Their Search Behavior

Steven Zimmerman, Alistair Thorpe, Chris Fox and Udo Kruschwitz

Item Recommendation by Combining Relative and Absolute Feedback Data

Saikishore Kalloori, Francesco Ricci and Li Tianyu

LIRME: Locally Interpretable Ranking Model Explanation

Debasis Ganguly and Manisha Verma

Learning More From Less: Towards Strengthening Weak Supervision for Ad-Hoc Retrieval

Dany Haddad and Joydeep Ghosh

Learning Unsupervised Semantic Document Representation for Fine-grained Aspect-based Sentiment Analysis

Hao-Ming Fu and Pu-Jen Cheng

Length-adaptive Neural Network for Answer Selection

Taihua Shao, Fei Cai, Honghui Chen and Maarten de Rijke

Leveraging Emotional Signals for Credibility Detection

Anastasia Giachanou, Paolo Rosso and Fabio Crestani

Local Matrix Approximation based on Graph Random Walk

Xuejiao Yang and Bang Wang

M-HIN: Complex Embedding for Heterogeneous Information Networks via Metagraphs

Yang Fang, Xiang Zhao, Peixin Huang, Weidong Xiao and Maarten de Rijke

Modeling Transferable Topics for Cross-Target Stance Detection

Penghui Wei and Wenji Mao

Monte Carlo Tree Search enhanced Markov Decision Process for Sequence Tagging

Yadi Lao, Jun Xu, Sheng Gao, Jun Guo and Ji-Rong Wen

Multi-level Matching Networks for Text Matching

Chunlin Xu, Hui Wang, Zhiwei Lin and Shengli Wu

Multiple Query Processing via Logic Function Factoring

Matteo Catena and Nicola Tonellotto

NRPA: Neural Recommendation with Personalized Attention

Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu and Xing Xie

Network Embedding and Change Modeling in Dynamic Heterogeneous Networks

Ranran Bian, Yun Sing Koh, Gill Dobbie and Anna Divoli

Neural Compatibility Ranking for Text-based Fashion Matching

Suthee Chaidaroon, Yi Fang, Min Xie and Alessandro Magnani

Normalized Query Commitment Revisited

Haggai Roitman

Numeral Attachment with Auxiliary Tasks

Chung-Chi Chen, Hen-Hsen Huang and Hsin-Hsi Chen

On Anonymous Commenting: A Greedy Approach to Balance Utilization and Anonymity for Instagram Users

Arian Askari, Asal Jalilvand and Mahmood Neshati

On Topic Difficulty in IR Evaluation: The Effect of Corpora, Systems, and System Components

Shane Culpepper, Oren Kurland, Stefano Mizzaro, Kevin Roitero and Fabio Zampieri

On Tradeoffs Between Document Signature Methods for A Legal Due Diligence Corpus

Adam Roegiest and Edward Lee

On the Additivity of Effectiveness Improvements from Neural Ranking Models

Wei Yang, Kuang Lu, Peilin Yang and Jimmy Lin

On the Effect of Low-Frequency Terms on Neural-IR Models

Sebastian Hofstätter, Navid Rekabsaz, Carsten Eickhoff and Allan Hanbury

One-Class Collaborative Filtering with the Queryable Variational Autoencoder

Ga Wu, Mohamed Reda Bouadjenek and Scott Sanner

Ontology-Aware Clinical Abstractive Summarization

Sean MacAvaney, Sajad Sotudeh Gharebagh, Arman Cohan, Nazli Goharian, Ross Filice and Ish Talati

Order-aware Embedding Neural Network for CTR Prediction

Wei Guo, Ruiming Tang, Huifeng Guo, Jianhua Han, Yuzhou Zhang and Wen Yang

Quantifying Bias and Variance of System Rankings

Gordon Cormack and Maura Grossman

Query Performance Prediction for Pseudo-Feedback-Based Retrieval

Haggai Roitman and Oren Kurland

Query-Task Mapping

Michael Völske, Ehsan Fatehifar, Benno Stein and Matthias Hagen

Reinforcement Learning for User Intent Prediction in Customer Service Bots

Cen Chen, Chilin Fu, Xu Hu, Xiaolu Zhang, Jun Zhou, Xiaolong Li and Forrest Sheng Bao

Retrieving Multi-Entity Associations: An Evaluation of Combination Modes for Word Embeddings

Gloria Feher, Andreas Spitz and Michael Gertz

Revealing the Role of User Moods in Struggling Search Tasks

Luyan Xu, Xuan Zhou and Ujwal Gadiraju

Revisiting Approximate Metric Optimizationin in the Age of Deep Neural Networks

Sebastian Bruch, Masrour Zoghi, Michael Bendersky and Marc Najork

SAIN: Self-Attentive Integration Network for Recommendation

Seoungjun Yun, Raehyun Kim, Miyoung Ko and Jaewoo Kang

Selecting Discriminative Terms for Relevance Feedback based Information Retrieval

Dwaipayan Roy, Sumit Bhatia and Mandar Mitra

Sequence and Time Aware Neighborhood for Session-based Recommendations

Diksha Garg, Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig and Gautam Shroff

Social Attentive Deep Q-network for Recommendation

Yu Lei, Zhitao Wang, Wenjie Li and Hongbin Pei

Sparse tensor co-clustering as a tool for document categorization

Rafika Boutalbi, Lazhar Labiod and Mohamed Nadif

Syntax-Aware Aspect-Level Sentiment Classification with Proximity-Weighted Convolution Network

Chen Zhang, Qiuchi Li and Dawei Song

TDP: Personalized Taxi Demand Prediction Based on Heterogeneous Graph Embedding

Zhenlong Zhu, Ruixuan Li, Minghui Shan, Yuhua Li, Lu Gao, Fei Wang, Jixing Xu and Xiwu Gu

Table2Vec: Neural Word and Entity Embeddings for Table Population and Retrieval

Li Deng, Shuo Zhang and Krisztian Balog

Text Retrieval Priors for Bayesian Logistic Regression

Eugene Yang, Dave Lewis and Ophir Frieder

The Emotion Profile of Web Search

Gabriella Kazai, Paul Thomas and Nick Craswell

The Impact of Score Ties on Repeatability in Document Ranking

Jimmy Lin and Peilin Yang

Time-Limits and Summaries for Faster Relevance Assessing

Shahin Rahbariasl and Mark Smucker

Towards Context-Aware Evaluation for Image Search

Yunqiu Shao, Jiaxin Mao, Yiqun Liu, Min Zhang and Shaoping Ma

Towards Contextual Dialogue Act Classification for Open-Domain Conversational Agents

Ali Ahmadvand, Jason Choi and Eugene Agichtein

Towards better support for exploratory search through an investigation of notes-to-self and notes-to-share

Anita Crescenzi, Yuan Li, Yinglong Zhang and Robert Capra

Training Streaming Factorization Machines with Alternating Least Squares

Xueyu Mao, Saayan Mitra and Sheng Li

Unbiased Low-Variance Estimators for Precision and Related Information Retrieval Effectiveness Measures

Gordon Cormack and Maura Grossman

Uncovering Insurance Fraud Conspiracy with Network Learning

Chen Liang, Ziqi Liu, Bin Liu, Jun Zhou, Xiaolong Li, Shuang Yang and Yuan Qi

Understanding the Interpretability of Search Result Summaries

Siyu Mi and Jiepu Jiang

Using Trails to Support Users with Tasks of Varying Scope

Robert Capra and Jaime Arguello

Vertical Search Blending - A Real-world Counterfactual Dataset

Pavel Prochazka, Matej Kocian, Jakub Drdak, Jan Vrsovsky, Vladimir Kadlec and Jaroslav Kuchar

Yelling at Your TV: An Analysis of Speech Recognition Errors and Subsequent User Behavior on Entertainment Systems

Raphael Tang, Ferhan Ture and Jimmy Lin

博士联合会论文

A Domain-Independent and Multilingual Approach for Crisis Event Detection and Understanding

Hernan Sarmiento

Biomedical Heterogeneous Data Integration and Rank Retrieval using Data Bridges

Priya Deshpande

Characterizing the Stages of Complex Tasks

Jiqun Liu

Document Distance Metric Learning in an Interactive Exploration Process

Marco Wrzalik

Dynamic Content Monitoring and Exploration using Vector Spaces

Benyou Wang

Efficient and Effective Text-Annotation through Active Learning

Markus Zlabinger

Evaluating Risk-Sensitive Text Retrieval

Rodger Benham

Event Information Retrieval from Text

Rashmi Sankepally

From Query Variations To Learned Relevance Modelling

Binsheng Liu

Implicit Entity Recognition, Classification and Linking in Tweets

Hawre Hosseini

Informing the Design of Conversational IR Systems: Framework and Result Presentation

Souvick Ghosh

Measuring Job Search Effectiveness

Alfan Farizki Wicaksono

Multimodal Data Fusion with Quantum Inspiration

Qiuchi Li

Ranking Robustness in Adversarial Retrieval Settings

‪gregory Goren

-END-

专 · 知

专知，专业可信的人工智能知识分发，让认知协作更快更好！欢迎登录www.zhuanzhi.ai，注册登录专知，获取更多AI知识资料！

欢迎微信扫一扫加入专知人工智能知识星球群，获取最新AI专业干货知识教程视频资料和与专家交流咨询！

请加专知小助手微信（扫一扫如下二维码添加），加入专知人工智能主题群，咨询技术商务合作~

专知《深度学习:算法到实战》课程全部完成！530+位同学在学习，现在报名，限时优惠！网易云课堂人工智能畅销榜首位！

点击“阅读原文”，了解报名专知《深度学习:算法到实战》课程