SIGIR

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

Sebastian Hofstätter, Navid Rekabsaz, Carsten Eickhoff, Allan Hanbury

Comments Accepted at SIGIR'19

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

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

Comments Accepted at SIGIR 2019

Towards Practical Visual Search Engine within Elasticsearch

Cun Mu, Jun Zhao, Guang Yang, Jing Zhang, Zheng Yan

Comments Accepted by SIGIR eCom'18

Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph

Zhuoren Jiang, Yue Yin, Liangcai Gao, Yao Lu, Xiaozhong Liu

Comments The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR 2018), 635--644

Searching for Relevant Lessons Learned Using Hybrid Information Retrieval Classifiers: A Case Study in Software Engineering

Tamer Mohamed Abdellatif, Luiz Fernando Capretz

Journal ref International Workshop on Professional Search (ACM SIGIR - ProfS 2018), pp. 12-17, Ann Arbor, Michigan, USA, July 2018

Report on the 3rd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2018)

Philipp Mayr, Muthu Kumar Chandrasekaran, Kokil Jaidka

Comments 6 pages, to appear in SIGIR Forum

Efficient Exploration of Gradient Space for Online Learning to Rank

Huazheng Wang, Ramsey Langley, Sonwoo Kim, Eric McCord-Snook, Hongning Wang

Comments To appear on SIGIR '18: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval

Top-k Route Search through Submodularity Modeling of Recurrent POI Features

Hongwei Liang, Ke Wang

Comments 11 pages, 7 figures, 2 tables

Journal ref Hongwei Liang and Ke Wang. 2018. Top-k Route Search through Submodularity Modeling of Recurrent POI Features. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR '18). ACM, 545-554

Imagination Based Sample Construction for Zero-Shot Learning

Gang Yang, Jinlu Liu, Xirong Li

Comments Accepted as a short paper in ACM SIGIR 2018

Technology Assisted Reviews: Finding the Last Few Relevant Documents by Asking Yes/No Questions to Reviewers

Jie Zou, Dan Li, Evangelos Kanoulas

Comments This paper is accepted by SIGIR 2018

A Similarity Measure for Weaving Patterns in Textiles

Sven Helmer, Vuong M. Ngo

Comments 10 papes, will be published in SIGIR 2015

Journal ref SIGIR 2015

Consistency and Variation in Kernel Neural Ranking Model

Mary Arpita Pyreddy, Varshini Ramaseshan, Narendra Nath Joshi, Zhuyun Dai, Chenyan Xiong, Jamie Callan, Zhiyuan Liu

Comments 4 pages, 4 figures, 2 tables

Journal ref Mary Arpita Pyreddy et al. 2018. Consistency and Variation in Kernel Neural Ranking Model. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR '18). ACM, New York, NY, USA, 961-964

Talent Search and Recommendation Systems at LinkedIn: Practical Challenges and Lessons Learned

Sahin Cem Geyik, Qi Guo, Bo Hu, Cagri Ozcaglar, Ketan Thakkar, Xianren Wu, Krishnaram Kenthapadi

Comments This paper has been accepted for publication at ACM SIGIR 2018

Term-Mouse-Fixations as an Additional Indicator for Topical User Interests in Domain-Specific Search

Daniel Hienert, Dagmar Kern

Comments Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2017

Picture It In Your Mind: Generating High Level Visual Representations From Textual Descriptions

Fabio Carrara, Andrea Esuli, Tiziano Fagni, Fabrizio Falchi, Alejandro Moreo Fernández

Comments Neu-IR '16 SIGIR Workshop on Neural Information Retrieval, July 21, 2016, Pisa, Italy

An Axiomatic Analysis of Diversity Evaluation Metrics: Introducing the Rank-Biased Utility Metric

Enrique Amigó, Damiano Spina, Jorge Carrillo-de-Albornoz

Comments Original version: 10 pages. Preprint of full paper to appear at SIGIR'18: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, July 8-12, 2018, Ann Arbor, MI, USA. ACM, New York, NY, USA

Optimizing Query Evaluations using Reinforcement Learning for Web Search

Corby Rosset, Damien Jose, Gargi Ghosh, Bhaskar Mitra, Saurabh Tiwary

Comments ACM SIGIR 2018 short paper (pre-print)

Adversarial Personalized Ranking for Recommendation

Xiangnan He, Zhankui He, Xiaoyu Du, Tat-Seng Chua

Comments SIGIR 2018

LogCanvas: Visualizing Search History Using Knowledge Graphs

Luyan Xu, Zeon Trevor Fernando, Xuan Zhou, Wolfgang Nejdl

Comments Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR '18 (demo), July 2018

SWDE : A Sub-Word And Document Embedding Based Engine for Clickbait Detection

Vaibhav Kumar, Mrinal Dhar, Dhruv Khattar, Yash Kumar Lal, Abhimanshu Mishra, Manish Shrivastava, Vasudeva Varma

Comments Accepted at SIGIR 2018 as Computational Surprise in Information Retrieval (CompS) Workshop Paper. arXiv admin note: substantial text overlap with arXiv:1710.01507

Journal ref "SWDE : A Sub-Word And Document Embedding Based Engine for Clickbait Detection". In Proceedings of SIGIR 2018 Workshop on Computational Surprise in Information Retrieval, Ann Arbor, MI, USA, July 8-12 (CompS'18, SIGIR), 4 pages

Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks

Vaibhav Kumar, Dhruv Khattar, Siddhartha Gairola, Yash Kumar Lal, Vasudeva Varma

Comments Accepted at SIGIR 2018 as Short Paper

Journal ref "Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks". In Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval 2018. Pages: 1225-1228

Predicting purchasing intent: Automatic Feature Learning using Recurrent Neural Networks

Humphrey Sheil, Omer Rana, Ronan Reilly

Comments Accepted to SIGIR eCom workshop, Ann Arbor, Michigan, USA, 2018

Layer-wise Relevance Propagation for Explainable Recommendations

Homanga Bharadhwaj

Comments Accepted in Proceedings of the EARS Workshop at SIGIR 2018

Journal ref Homanga Bharadhwaj. 2018. Layer-wise Relevance Propagation for Explainable Recommendations. In Proceedings of SIGIR 2018 Workshop on ExplainAble Recommendation and Search (EARS'18). ACM, New York, NY, USA

Human Perception of Surprise: A User Study

Nalin Chhibber, Rohail Syed, Mengqiu Teng, Joslin Goh, Kevyn Collins-Thompson, Edith Law

Comments 4 pages. Presented at Computational Surprise Workshop, SIGIR 2018 (Michigan)

Explaining Controversy on Social Media via Stance Summarization

Myungha Jang, James Allan

Comments 4 pages, accepted to SIGIR 2018

Target Apps Selection: Towards a Unified Search Framework for Mobile Devices

Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, W. Bruce Croft

Comments To appear at SIGIR 2018

Leveraging Catalog Knowledge Graphs for Query Attribute Identification in E-Commerce Sites

Suhas Ranganath

Comments in ACM SIGIR Ecom 2018

Weakly-supervised Contextualization of Knowledge Graph Facts

Nikos Voskarides, Edgar Meij, Ridho Reinanda, Abhinav Khaitan, Miles Osborne, Giorgio Stefanoni, Prabhanjan Kambadur, Maarten de Rijke

Comments SIGIR 2018: 41st international ACM SIGIR conference on Research and Development in Information Retrieval. July version: corrected typos

Sanity Check: A Strong Alignment and Information Retrieval Baseline for Question Answering

Vikas Yadav, Rebecca Sharp, Mihai Surdeanu

Comments SIGIR 2018

Speeding up the Metabolism in E-commerce by Reinforcement Mechanism Design

Hua-Lin He, Chun-Xiang Pan, Qing Da, An-Xiang Zeng

Comments Sigir ecom