The SIGIR Symposium on IR in Practice (SIRIP) 2024 will be held as part of ACM SIGIR 2024, onsite (in Washington DC, USA). We aim to provide an opportunity for researchers, engineers, practitioners, analysts and consumers to meet and discuss the latest and greatest Information Retrieval (IR) technologies as deployed in companies, big and small, and to be the premier forum for knowledge sharing across the boundary between academia and industry.
SIRIP will take place on Monday, July 15th, and Wednesday, July 17th.
Monday, July 15th, 2024
| Monday AM Session 1 | Session Chair: Edgar Meij | ||
|---|---|---|---|
| 10:30 - 11:30 | Statler A&B | Opening remarks | |
| Keynote #1 Paul Bennett, Spotify |
Title: Toward AI-Powered Next Generation Personalized Experiences | ||
| Monday AM Session 1 Track 1: LLMs | Session Chair: Edgar Meij | ||
| 11:30 - 12:45 | Statler A&B | Scott Rome, Tianwen Chen, Raphael Tang, Luwei Zhou and Ferhan Ture | "Ask Me Anything": How Comcast Uses LLMs to Assist Agents in Real Time |
| Tempest van Schaik and Brittany Pugh | A Field Guide to Automatic Evaluation of LLM-Generated Summaries | ||
| Sonal Sannigrahi, Thiago Fraga-Silva, Youssef Oualil and Christophe Van Gysel | Synthetic Query Generation using Large Language Models for Virtual Assistants | ||
| Vinay Setty | Surprising Efficacy of Fine-Tuned Transformers for Fact-Checking over Larger Language Models | ||
| Wei Chen, Yixin Ji, Zeyuan Chen, Jia Xu and Zhongyi Liu | LLMGR: Large Language Model-based Generative Retrieval in Alipay Search | ||
| 14:45 - 15:45 | Monday PM Session 2 Track 1: Domain-specific | Session Chair: Tracy King | |
| Pan American | Scott Hale, Kiran Garimella and Shiri Dori-Hacohen | Misinformation Mitigation Praxis: Lessons Learned and Future Directions from Co·Insights | |
| Kang Zhao, Xinyu Zhao, Zhipeng Jin, Yi Yang, Wen Tao, Cong Han, Shuanglong Li and Lin Liu | Enhancing Baidu Multimodal Advertisement with Chinese Text-to-Image Generation via Bilingual Alignment and Caption Synthesis | ||
| Sebastian Björkqvist | Relevance Feedback Method For Patent Searching Using Vector Subspaces | ||
| Johny Moreira, Altigran da Silva, Edleno de Moura and Leandro Marinho | A Study on Unsupervised Question and Answer Generation for Legal Information Retrieval and Precedents Understanding | ||
| Monday PM Session 2 Track 2: LLMs | Session Chair: Moumita Bhattacharya | ||
| Statler A&B | Shi Zong, Santosh Kolagati, Amit Chaudhary, Josh Seltzer and Jimmy Lin | Reflections on the Coding Ability of LLMs for Analyzing Market Research Surveys | |
| Zhentao Xu, Mark Jerome Cruz, Matthew Guevara, Tie Wang, Manasi Deshpande, Xiaofeng Wang and Zheng Li | Retrieval-Augmented Generation with Knowledge Graphs for Customer Service Question Answering | ||
| Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Korpeoglu, Sushant Kumar and Kannan Achan | LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction | ||
| 16:00 - 17:30 | Monday PM Session 3 Track 1: E-comm | Session Chair: Surya Kallumadi | |
| Pan American | Jiaqi Deng, Kaize Shi, Huan Huo, Dingxian Wang and Guandong Xu | Homogeneous-listing-augmented Self-supervised Multimodal Product Title Refinement | |
| Wenyu Huang, Andre de Oliveira Melo and Jeff Pan | A Large-scale Offer Alignment Model for Partitioning Filtering and Matching Product Offers | ||
| Chaoqun Hou, Yuanhang Zhou, Yi Cao and Tong Liu | ECAT: A Entire space Continual and Adaptive Transfer Learning Framework for Cross-Domain Recommendation | ||
| Enqiang Xu, Yiming Qiu, Mingming Li, Ping Zhang, Guoyu Tang, Lin Liu and Songlin Wang | Optimizing E-commerce Search: Toward a Generalizable and Rank-Consistent Pre-Ranking Model | ||
| Jinhan Liu, Qiyu Chen, Junjie Xu, Junjie Li, Baoli Li and Sulong Xu | A Unified Search and Recommendation Framework based on Multi-Scenario Learning for Ranking in E-commerce | ||
| Huimu Wang, Mingming Li, Dadong Miao, Songlin Wang, Tang Guoyu, Lin Liu, Sulong Xu and Jinghe Hu | A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search | ||
| Monday PM Session 3 Track 2: Recsys and social | Session Chair: Jayant Kumar | ||
| Statler A&B | Cong Jiang, Zhongde Chen, Bo Zhang, Yankun Ren, Xin Dong, Lei Cheng, Xinxing Yang, Longfei Li, Jun Zhou and Linjian Mo | GATS: Generative Audience Targeting System for Online Advertising | |
| Chihwei Hsu, Martin Mladenov, Ofer Meshi, James Pine, Hubert Pham, Shane Li, Xujian Liang, Anton Polishko, Li Yang, Ben Scheetz and Craig Boutilier | Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation Policies | ||
| Pau Kung, Zihao Fan, Tong Zhao, Yozen Liu, Zhixin Lai, Jiahui Shi, Yan Wu, Jun Yu, Neil Shah and Ganesh Venkataraman | Improving Embedding-Based Retrieval in Friend Recommendation with ANN Query Expansion | ||
| Srijan Saket, Olivier Jeunen and Md. Danish Kalim | Monitoring the Evolution of Behavioural Embeddings in Social Media Recommendation | ||
| Siddharth Sharma, Shiyun Yang, Tarun Sharma, Joaquin Delgado and Ajinkya Walimbe | Striking the Right Chord: A Comprehensive Approach to Amazon Music Search Spell Correction | ||
| Yongchun Zhu, Jingwu Chen, Ling Chen, Yitan Li, Feng Zhang and Zuotao Liu | Interest Clock: Time Perception in Real-Time Streaming Recommendation System | ||
Wednesday, July 17th, 2024
| Wednesday AM Session 1 | Session Chair: Tao Ye | |||
|---|---|---|---|---|
| 10:30 - 11:15 | Statler A&B | Keynote #2 Vanessa Murdock, Amazon |
Title: Responsible Generative IR | |
| 11:15 - 12:15 | Wednesday PM Session 2 Track 1: Search Assist | Session Chair: Tao Ye | ||
| Statler A&B | Mayank Kejriwal, Hamid Haidarian, Min-Hsueh Chiu, Andy Xiang and Faizan Javed | A Semantic Search Engine for Helping Patients Find Doctors and Locations in a Large Healthcare Organization | ||
| Junyu Luo, Cheng Qian, Lucas Glass and Fenglong Ma | Clinical Trial Retrieval via Multi-grained Group-based Similarity Learning | |||
| Shaodan Zhai, Yuwei Chen and Yixue Li | Embedding Based Deduplication in E-commerce AutoComplete | |||
| Nikhita Vedula, Oleg Rokhlenko and Shervin Malmasi | Contextual Question Suggestions for Effective Conversation Flow in Shopping Assistants | |||
| Wednesday PM Session 2 Track 2: Domain-specific | Session Chair: Jan Malte Lichtenberg | |||
| Pan American | Rankyung Park, Amit Pande, David Relyea, Pushkar Chennu and Prathyusha Kanmanth Reddy | SLH-BIA: Short-Long Hawkes Process for Buy It Again Recommendations at Scale | ||
| Md Mostafizur Rahman, Daisuke Kikuta, Yu Hirate and Toyotaro Suzumura | Graph-Based Audience Expansion Model for Marketing Campaigns | |||
| Artemis Capari, Hosein Azarbonyad, Georgios Tsatsaronis, Zubair Afzal and Judson Dunham | ScienceDirect Topic Pages: A Knowledge Base of Scientific Concepts Across Various Science Domains | |||
| Wednesday PM Session 3 Panel and closing | Session Chair: Tao Ye | |||
| 14:00 - 15:15 | Statler A&B | Moderator: Tracy Holloway King (Adobe) Panelists:
|
Panel: Are Embeddings Enough? SIRIP Panel on the Future of Embeddings in Industry IR Systems | |
| Closing remarks | ||||