arXivDaily arXiv每日学术速递 周一至周五更新

期刊&会议

ACM SIGIR Conference on Research and Development in Information Retrieval · 会议 · Information Retrieval

共收录 1420
2407.11245 2024-07-25 cs.IR cs.AI

Pacer and Runner: Cooperative Learning Framework between Single- and Cross-Domain Sequential Recommendation

Chung Park, Taesan Kim, Hyungjun Yoon, Junui Hong, Yelim Yu, Mincheol Cho, Minsung Choi, Jaegul Choo

Comments Accepted at SIGIR'24 (Best Paper Honorable Mention)

详情

展开后加载摘要…

URL PDF HTML 收藏
2407.17097 2024-07-25 cs.LG cs.AI

Towards Robust Knowledge Tracing Models via k-Sparse Attention

Shuyan Huang, Zitao Liu, Xiangyu Zhao, Weiqi Luo, Jian Weng

Comments Accepted at SIGIR'2023 (revised version with additional results)

详情

展开后加载摘要…

URL PDF HTML 收藏
2407.13166 2024-07-19 cs.HC cs.IR

Using LLMs to Investigate Correlations of Conversational Follow-up Queries with User Satisfaction

Hyunwoo Kim, Yoonseo Choi, Taehyun Yang, Honggu Lee, Chaneon Park, Yongju Lee, Jin Young Kim, Juho Kim

Comments Accepted to LLM4Eval @ SIGIR 2024 - The First Workshop on Large Language Models (LLMs) for Evaluation in Information Retrieval

详情

展开后加载摘要…

URL PDF HTML 收藏
2407.12170 2024-07-18 cs.IR

Neural Passage Quality Estimation for Static Pruning

Xuejun Chang, Debabrata Mishra, Craig Macdonald, Sean MacAvaney

Comments SIGIR 2024

详情

展开后加载摘要…

URL PDF HTML 收藏
2407.09653 2024-07-18 cs.CL cs.IR

Bridging the Gap Between Information Seeking and Product Search Systems: Q&A Recommendation for E-commerce

Saar Kuzi, Shervin Malmasi

Journal ref In ACM SIGIR Forum, vol. 58, no. 1, pp. 1-10. New York, NY, USA: ACM, 2024

详情

展开后加载摘要…

URL PDF HTML 收藏
2407.00635 2024-07-18 cs.IR

Dense Retrieval with Continuous Explicit Feedback for Systematic Review Screening Prioritisation

Xinyu Mao, Shengyao Zhuang, Bevan Koopman, Guido Zuccon

Comments Accepted at SIGIR 2024;typos corrected

详情

展开后加载摘要…

URL PDF HTML 收藏
2406.00247 2024-07-18 cs.IR cs.AI

Large Language Models for Relevance Judgment in Product Search

Navid Mehrdad, Hrushikesh Mohapatra, Mossaab Bagdouri, Prijith Chandran, Alessandro Magnani, Xunfan Cai, Ajit Puthenputhussery, Sachin Yadav, Tony Lee, ChengXiang Zhai, Ciya Liao

Comments 10 pages, 1 figure, 11 tables - SIGIR 2024, LLM4Eval

详情

展开后加载摘要…

URL PDF HTML 收藏
2407.10351 2024-07-16 cs.CL

Comparing Complex Concepts with Transformers: Matching Patent Claims Against Natural Language Text

Matthias Blume, Ghobad Heidari, Christoph Hewel

Comments 5th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech 2024) at ACM SIGIR

详情

展开后加载摘要…

URL PDF HTML 收藏
2405.20994 2024-07-16 cs.IR cs.CL

CWRCzech: 100M Query-Document Czech Click Dataset and Its Application to Web Relevance Ranking

Josef Vonášek, Milan Straka, Rostislav Krč, Lenka Lasoňová, Ekaterina Egorova, Jana Straková, Jakub Náplava

Comments Accepted to SIGIR 2024

详情

展开后加载摘要…

URL PDF HTML 收藏
2403.18684 2024-07-16 cs.IR cs.CL

Scaling Laws For Dense Retrieval

Yan Fang, Jingtao Zhan, Qingyao Ai, Jiaxin Mao, Weihang Su, Jia Chen, Yiqun Liu

Comments Accepted at SIGIR 2024. V2 fixes a bug in the experiments

详情

展开后加载摘要…

URL PDF HTML 收藏
2406.08229 2024-07-12 cs.IR cs.LG

GPT4Rec: Graph Prompt Tuning for Streaming Recommendation

Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim

Comments Accepted by SIGIR 2024

详情

展开后加载摘要…

URL PDF HTML 收藏
2406.01702 2024-07-12 cs.IR

Session Context Embedding for Intent Understanding in Product Search

Navid Mehrdad, Vishal Rathi, Sravanthi Rajanala

Comments 5 pages, 1 Figure, 5 Tables, SIGIR 2024, LLM for Individuals, Groups, and Society

详情

展开后加载摘要…

URL PDF HTML 收藏
2407.07790 2024-07-11 cs.IR

Systematic Evaluation of Neural Retrieval Models on the Touché 2020 Argument Retrieval Subset of BEIR

Nandan Thakur, Luiz Bonifacio, Maik Fröbe, Alexander Bondarenko, Ehsan Kamalloo, Martin Potthast, Matthias Hagen, Jimmy Lin

Comments SIGIR 2024 (Resource & Reproducibility Track)

详情

展开后加载摘要…

URL PDF HTML 收藏
2407.02867 2024-07-04 cs.MM cs.CL

Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive Multimodal Knowledge Graph Completion

Yu Zhao, Ying Zhang, Baohang Zhou, Xinying Qian, Kehui Song, Xiangrui Cai

Comments Accepted by SIGIR 2024

详情

展开后加载摘要…

URL PDF HTML 收藏
2407.01972 2024-07-03 cs.IR cs.AI cs.HC cs.LG

MeMemo: On-device Retrieval Augmentation for Private and Personalized Text Generation

Zijie J. Wang, Duen Horng Chau

Comments Accepted to SIGIR 2024. 6 pages, 2 figures. For a live demo, visit https://poloclub.github.io/mememo/. Code is open-source at https://github.com/poloclub/mememo

详情

展开后加载摘要…

URL PDF HTML 收藏
2407.01373 2024-07-02 cs.IR

Evaluation of Temporal Change in IR Test Collections

Jüri Keller, Timo Breuer, Philipp Schaer

Journal ref Proceedings of the 2024 ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR '24), July 13, 2024, Washington, DC, USA

详情

展开后加载摘要…

URL PDF HTML 收藏
2406.19647 2024-07-01 cs.IR

Doc2Token: Bridging Vocabulary Gap by Predicting Missing Tokens for E-commerce Search

Kaihao Li, Juexin Lin, Tony Lee

Comments 9 pages, 1 figure, SIGIR 2024 Workshop on eCommerce

详情

展开后加载摘要…

URL PDF HTML 收藏
2406.19018 2024-06-28 cs.IR

Efficient course recommendations with T5-based ranking and summarization

Thijmen Bijl, Niels van Weeren, Suzan Verberne

Comments ReNeuIR 2024 (at SIGIR 2024) - 3rd Workshop on Reaching Efficiency in Neural Information Retrieval, 18 July, 2024, Washington D.C, USA

详情

展开后加载摘要…

URL PDF HTML 收藏
2406.19007 2024-06-28 cs.IR

Towards a Formal Characterization of User Simulation Objectives in Conversational Information Access

Nolwenn Bernard, Krisztian Balog

Comments Proceedings of the 2024 ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR '24), July 13, 2024, Washington DC, DC, USA

详情

展开后加载摘要…

URL PDF HTML 收藏
2406.18960 2024-06-28 cs.IR

A Surprisingly Simple yet Effective Multi-Query Rewriting Method for Conversational Passage Retrieval

Ivica Kostric, Krisztian Balog

Comments Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval

详情

展开后加载摘要…

URL PDF HTML 收藏
2406.15241 2024-06-28 cs.IR

Retrieval Augmented Zero-Shot Text Classification

Tassallah Abdullahi, Ritambhara Singh, Carsten Eickhoff

Comments Proceedings of the 2024 ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR '24), July 13, 2024, Washington DC, DC, USA

详情

展开后加载摘要…

URL PDF HTML 收藏
2406.17605 2024-06-26 cs.MM cs.AI cs.CL cs.CV cs.IR

NativE: Multi-modal Knowledge Graph Completion in the Wild

Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen

Comments Accepted by SIGIR 2024 as a full paper

详情

展开后加载摘要…

URL PDF HTML 收藏
2406.17163 2024-06-26 cs.CL cs.AI cs.LG

Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors

Vikas Yadav, Zheng Tang, Vijay Srinivasan

Comments Accepted at SIGIR 2024

详情

展开后加载摘要…

URL PDF HTML 收藏
2406.05898 2024-06-25 cs.IR cs.AI cs.LG

Async Learned User Embeddings for Ads Delivery Optimization

Mingwei Tang, Meng Liu, Hong Li, Junjie Yang, Chenglin Wei, Boyang Li, Dai Li, Rengan Xu, Yifan Xu, Zehua Zhang, Xiangyu Wang, Linfeng Liu, Yuelei Xie, Chengye Liu, Labib Fawaz, Li Li, Hongnan Wang, Bill Zhu, Sri Reddy

Comments Accepted by workshop on Multimodal Representation and Retrieval at SIGIR 2024, Washington DC

详情

展开后加载摘要…

URL PDF HTML 收藏
2403.00863 2024-06-21 cs.IR cs.AI cs.CL

LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction

Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Korpeoglu, Sushant Kumar, Kannan Achan

Comments SIGIR 2024 industry track

详情

展开后加载摘要…

URL PDF HTML 收藏
2406.11745 2024-06-18 cs.IR cs.CL

Multi-Layer Ranking with Large Language Models for News Source Recommendation

Wenjia Zhang, Lin Gui, Rob Procter, Yulan He

Comments Accepted by the SIGIR 2024. arXiv admin note: text overlap with arXiv:2305.04825

详情

展开后加载摘要…

URL PDF HTML 收藏
2403.17286 2024-06-18 cs.IR cs.HC

Cognitively Biased Users Interacting with Algorithmically Biased Results in Whole-Session Search on Debated Topics

Ben Wang, Jiqun Liu

Journal ref Proceedings of the 2024 ACM SIGIR International Conference on the Theory of Information Retrieval

详情

展开后加载摘要…

URL PDF HTML 收藏
2401.06982 2024-06-18 cs.IR

Denoising Diffusion Recommender Model

Jujia Zhao, Wenjie Wang, Yiyan Xu, Teng Sun, Fuli Feng, Tat-Seng Chua

Comments Accepted by SIGIR 2024

详情

展开后加载摘要…

URL PDF HTML 收藏
2204.00815 2024-06-14 cs.IR

Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition

Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen

Comments Accepted by SIGIR-AP 2023

详情

展开后加载摘要…

URL PDF HTML 收藏
2405.10835 2024-06-13 cs.IR

A Unified Search and Recommendation Framework Based on Multi-Scenario Learning for Ranking in E-commerce

Jinhan Liu, Qiyu Chen, Junjie Xu, Junjie Li, Baoli Li, Sulong Xu

Comments Accepted by SIGIR 2024

详情

展开后加载摘要…

URL PDF HTML 收藏