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ORCIDICTIR 2018: Tianjin, China
- Dawei Song, Tie-Yan Liu, Le Sun, Peter Bruza, Massimo Melucci, Fabrizio Sebastiani, Grace Hui Yang:
Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2018, Tianjin, China, September 14-17, 2018. ACM 2018
Tutorials
- Qingyao Ai
, Jiaxin Mao, Yiqun Liu, W. Bruce Croft:
Unbiased Learning to Rank: Theory and Practice. 1-2 - Ying-Hsang Liu, Chang Liu, Ralf Bierig:
User Interactions with Search Systems. 3-4
Workshops
- Haiming Liu, Ingo Frommholz, Ingo Schmitt, Dawei Song:
The 8th Symposium on Future Directions in Information Access. 5
Keynote & Invited Talks
- Ming Zhou:
What Will Search Engines be Changed by NLP Advancements. 7 - Yiming Yang:
Large-scale Machine Learning over Graphs. 9
Long Paper Session 1: Collaborative Ranking/Filtering and Recommendations
- Oren Sar Shalom, Guy Uziel, Alexandros Karatzoglou, Amir Kantor:
A Word is Worth a Thousand Ratings: Augmenting Ratings using Reviews for Collaborative Filtering. 11-18 - Mohammad Aliannejadi, Dimitrios Rafailidis, Fabio Crestani:
A Collaborative Ranking Model with Multiple Location-based Similarities for Venue Suggestion. 19-26 - Yogesh Jhamb, Travis Ebesu, Yi Fang:
Attentive Contextual Denoising Autoencoder for Recommendation. 27-34
Long Paper Session 2: Queries and Browsing
- Haggai Roitman:
An Extended Query Performance Prediction Framework Utilizing Passage-Level Information. 35-42 - Shihao Zou, Guanyu Tao, Jun Wang, Weinan Zhang, Dell Zhang:
On the Equilibrium of Query Reformulation and Document Retrieval. 43-50 - Heng Ding, Krisztian Balog:
Generating Synthetic Data for Neural Keyword-to-Question Models. 51-58
Long Paper Session 3: Neural IR
- Yifan Nie, Yanling Li, Jian-Yun Nie:
Empirical Study of Multi-level Convolution Models for IR Based on Representations and Interactions. 59-66 - Daniel Cohen, Brendan O'Connor, W. Bruce Croft:
Understanding the Representational Power of Neural Retrieval Models Using NLP Tasks. 67-74 - Qian Yu, Wai Lam:
Product Question Intent Detection using Indicative Clause Attention and Adversarial Learning. 75-82
Long Paper Session 4: Efficiency
- Guoxin Cui, Jun Xu, Wei Zeng, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
MQGrad: Reinforcement Learning of Gradient Quantization in Parameter Server. 83-90 - Yubin Kim, Jamie Callan:
Measuring the Effectiveness of Selective Search Index Partitions without Supervision. 91-98 - Yingying Wu, Yiqun Liu, Fei Chen, Min Zhang, Shaoping Ma:
Beyond Greedy Search: Pruned Exhaustive Search for Diversified Result Ranking. 99-106 - Flávio Martins, João Magalhães, Jamie Callan:
A Vertical PRF Architecture for Microblog Search. 107-114
Long Paper Session 5: Theory of Evaluation
- Sujatha Das Gollapalli, Xiaoli Li:
Using PageRank for Characterizing Topic Quality in LDA. 115-122 - Enrique Amigó, Fernando Giner, Stefano Mizzaro, Damiano Spina:
A Formal Account of Effectiveness Evaluation and Ranking Fusion. 123-130 - Matthew Mitsui, Chirag Shah:
The Broad View of Task Type Using Path Analysis. 131-138
Long Paper Session 6: Theory of Models
- Tim Gollub, Erdan Genc, Nedim Lipka, Benno Stein:
Pseudo Descriptions for Meta-Data Retrieval. 139-146 - Hamed Zamani, W. Bruce Croft:
On the Theory of Weak Supervision for Information Retrieval. 147-154 - He Zhao, Chong Feng, Zhunchen Luo, Changhai Tian:
Entity Set Expansion from Twitter. 155-162
Short Paper Session 1: AI and IR
- Guoxiu He, Wei Lu:
Entire Information Attentive GRU for Text Representation. 163-166 - Amar Budhiraja, Kartik Dutta, Manish Shrivastava, Raghu Reddy:
Towards Word Embeddings for Improved Duplicate Bug Report Retrieval in Software Repositories. 167-170 - Xing Tan, Jimmy Xiangji Huang:
Levenshtein in Blocks World: String Matching via AI Planning. 171-174 - Wei Zeng, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Multi Page Search with Reinforcement Learning to Rank. 175-178 - Bahar Salehi, Fei Liu, Timothy Baldwin, Wilson Wong:
Multitask Learning for Query Segmentation in Job Search. 179-182
Short Paper Session 2: Quantum-inspired IR Models
- Qiuchi Li, Massimo Melucci, Prayag Tiwari:
Quantum Language Model-based Query Expansion. 183-186 - Emanuele Di Buccio, Qiuchi Li, Massimo Melucci, Prayag Tiwari:
Binary Classification Model Inspired from Quantum Detection Theory. 187-190 - Sagar Uprety, Dawei Song:
Investigating Order Effects in Multidimensional Relevance Judgment using Query Logs. 191-194
Short Paper Session 3: Fusion and Evaluation
- Haggai Roitman:
Enhanced Performance Prediction of Fusion-based Retrieval. 195-198 - Tetsuya Sakai:
Topic Set Size Design for Paired and Unpaired Data. 199-202 - Haggai Roitman:
Utilizing Pseudo-Relevance Feedback in Fusion-based Retrieval. 203-206 - Xing Tan, Fanghong Jiang, Jimmy Xiangji Huang:
StatBM25: An Aggregative and Statistical Approach for Document Ranking. 207-210
Short Paper Session 4: Entity Retrieval and Question Answering
- Xinshi Lin, Wai Lam, Kwun Ping Lai:
Entity Retrieval in the Knowledge Graph with Hierarchical Entity Type and Content. 211-214 - Xi Niu:
An Adaptive Recommender System for Computational Serendipity. 215-218 - Kenta Tamaki, Riku Togashi, Sosuke Kato, Sumio Fujita, Hideyuki Maeda, Tetsuya Sakai:
Classifying Community QA Questions That Contain an Image. 219-222 - Lakshmi Vikraman, W. Bruce Croft, Brendan O'Connor:
Exploring Diversification In Non-factoid Question Answering. 223-226
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