Web 検索とデータマイニングのトップカンファレンス WSDM2023 で気になった研究

去年¹に引き続き WSDM2023 の論文が公開されたので、ざっと眺めて気になったものを書き留めておく。

Keynote

Maarten de Rijke University of Amsterdam, Date: Wednesday, March 1, 2023 Title: Beyond-Accuracy Goals, Again

Active Ensemble Learning for Knowledge Graph Error Detection Junnan Dong (The Hong Kong Polytechnic University); Qinggang Zhang (The Hong Kong Polytechnic University); Xiao Huang (The Hong Kong Polytechnic University)*; Qiaoyu Tan (Texas A&M University); Daochen Zha (Rice University); ZHAO ZIHAO (Hong Kong Polytechnic University)
Revisiting Code Search in a Two-Stage Paradigm Fan Hu (Renmin University of China)*; Yanlin Wang (Sun Yat-sen University); Lun Du (Microsoft Research); Xirong Li (Renmin University of China); Hongyu Zhang (University of Newcastle); Shi Han (Microsoft Research); Dongmei Zhang (Microsoft Research Asia)
Visual Matching Is Enough for Scene Text Retrieval Lilong Wen (zhejiang university)*; Yingrong Wang (Zhejiang University); Dongxiang Zhang (Zhejiang University); Gang Chen (Zhejiang University)
Beyond Hard Negatives in Product Search: Semantic Matching using One-Class Classification (SMOCC) Arindam Bhattacharya (Amazon)*; Ankit Gandhi (Amazon); Vijay Huddar (Amazon); Ankith M S (Amazon); Aayush Moroney (Amazon); Atul Saroop (Amazon); Rahul Bhagat ()

Simulating Humans at Scale to Evaluate Voice Interfaces for TVs: the Round-Trip System at Comcast
Learning to Infer Product Attribute Values From Descriptive Texts and Images, Pablo Montalvo and Aghiles Salah (Rakuten Group, Inc.)

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