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Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2018, Tianjin, China, September 14-17, 2018

Dawei Song, Tie-Yan Liu, Le Sun, Peter Bruza, Massimo Melucci, Fabrizio Sebastiani, Grace Hui Yang (Editors)


Anthology ID:
2018.ictir_conference-2018
Year:
2018
Venue:
ictir_conference
Publisher:
ACM
URL:
http://dl.acm.org/citation.cfm?id=3234944
DBLP:
conf/ictir/2018
BibTeX:
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Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2018, Tianjin, China, September 14-17, 2018

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Unbiased Learning to Rank: Theory and Practice
Qingyao Ai | Jiaxin Mao | Yiqun Liu | W. Bruce Croft

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User Interactions with Search Systems
Ying-Hsang Liu | Chang Liu | Ralf Bierig

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The 8th Symposium on Future Directions in Information Access
Haiming Liu | Ingo Frommholz | Ingo Schmitt | Dawei Song

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What Will Search Engines be Changed by NLP Advancements
Ming Zhou

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Large-scale Machine Learning over Graphs
Yiming Yang

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A Word is Worth a Thousand Ratings: Augmenting Ratings using Reviews for Collaborative Filtering
Oren Sar Shalom | Guy Uziel | Alexandros Karatzoglou | Amir Kantor

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A Collaborative Ranking Model with Multiple Location-based Similarities for Venue Suggestion
Mohammad Aliannejadi | Dimitrios Rafailidis | Fabio Crestani

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Attentive Contextual Denoising Autoencoder for Recommendation
Yogesh Jhamb | Travis Ebesu | Yi Fang

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An Extended Query Performance Prediction Framework Utilizing Passage-Level Information
Haggai Roitman

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On the Equilibrium of Query Reformulation and Document Retrieval
Shihao Zou | Guanyu Tao | Jun Wang | Weinan Zhang | Dell Zhang

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Generating Synthetic Data for Neural Keyword-to-Question Models
Heng Ding | Krisztian Balog

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Empirical Study of Multi-level Convolution Models for IR Based on Representations and Interactions
Yifan Nie | Yanling Li | Jian-Yun Nie

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Understanding the Representational Power of Neural Retrieval Models Using NLP Tasks
Daniel Cohen | Brendan O'Connor | W. Bruce Croft

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Product Question Intent Detection using Indicative Clause Attention and Adversarial Learning
Qian Yu | Wai Lam

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MQGrad: Reinforcement Learning of Gradient Quantization in Parameter Server
Guoxin Cui | Jun Xu | Wei Zeng | Yanyan Lan | Jiafeng Guo | Xueqi Cheng

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Measuring the Effectiveness of Selective Search Index Partitions without Supervision
Yubin Kim | Jamie Callan

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Beyond Greedy Search: Pruned Exhaustive Search for Diversified Result Ranking
Yingying Wu | Yiqun Liu | Fei Chen | Min Zhang | Shaoping Ma

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A Vertical PRF Architecture for Microblog Search
Flávio Martins | João Magalhães | Jamie Callan

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Using PageRank for Characterizing Topic Quality in LDA
Sujatha Das Gollapalli | Xiaoli Li

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A Formal Account of Effectiveness Evaluation and Ranking Fusion
Enrique Amigó | Fernando Giner | Stefano Mizzaro | Damiano Spina

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The Broad View of Task Type Using Path Analysis
Matthew Mitsui | Chirag Shah

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Pseudo Descriptions for Meta-Data Retrieval
Tim Gollub | Erdan Genc | Nedim Lipka | Benno Stein

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On the Theory of Weak Supervision for Information Retrieval
Hamed Zamani | W. Bruce Croft

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Entity Set Expansion from Twitter
He Zhao | Chong Feng | Zhunchen Luo | Changhai Tian

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Entire Information Attentive GRU for Text Representation
Guoxiu He | Wei Lu

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Towards Word Embeddings for Improved Duplicate Bug Report Retrieval in Software Repositories
Amar Budhiraja | Kartik Dutta | Manish Shrivastava | Raghu Reddy

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Levenshtein in Blocks World: String Matching via AI Planning
Xing Tan | Jimmy Xiangji Huang

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Multi Page Search with Reinforcement Learning to Rank
Wei Zeng | Jun Xu | Yanyan Lan | Jiafeng Guo | Xueqi Cheng

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Multitask Learning for Query Segmentation in Job Search
Bahar Salehi | Fei Liu | Timothy Baldwin | Wilson Wong

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Quantum Language Model-based Query Expansion
Qiuchi Li | Massimo Melucci | Prayag Tiwari

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Binary Classification Model Inspired from Quantum Detection Theory
Emanuele Di Buccio | Qiuchi Li | Massimo Melucci | Prayag Tiwari

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Investigating Order Effects in Multidimensional Relevance Judgment using Query Logs
Sagar Uprety | Dawei Song

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Enhanced Performance Prediction of Fusion-based Retrieval
Haggai Roitman

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Topic Set Size Design for Paired and Unpaired Data
Tetsuya Sakai

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Utilizing Pseudo-Relevance Feedback in Fusion-based Retrieval
Haggai Roitman

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StatBM25: An Aggregative and Statistical Approach for Document Ranking
Xing Tan | Fanghong Jiang | Jimmy Xiangji Huang

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Entity Retrieval in the Knowledge Graph with Hierarchical Entity Type and Content
Xinshi Lin | Wai Lam | Kwun Ping Lai

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An Adaptive Recommender System for Computational Serendipity
Xi Niu

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Classifying Community QA Questions That Contain an Image
Kenta Tamaki | Riku Togashi | Sosuke Kato | Sumio Fujita | Hideyuki Maeda | Tetsuya Sakai

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Exploring Diversification In Non-factoid Question Answering
Lakshmi Vikraman | W. Bruce Croft | Brendan O'Connor