KDD2022 論文読み会の発表資料です。
https://line.connpass.com/event/258930/
Workshop URL
https://sites.google.com/view/kdd22onlinemarketplaces/home
Workshop Proceeding
https://dl.acm.org/doi/10.1145/3534678.3542895
【紹介文献】
Qi He, Bee-Chung Chen, Deepak Agarwal. "Building The LinkedIn Knowledge Graph." LinkedIn Engineering Blog. 2016.
Duan, Weitao, Shan Ba, and Chunzhe Zhang. "Online Experimentation with Surrogate Metrics: Guidelines and a Case Study." Proceedings of the 14th ACM International Conference on Web Search and Data Mining. 2021.
Benjamin Le, Benjamin Le, Daniel Gmach, Aman Grover, Roshan Lal, Jerry Lin, Austin Lu, Qingyun Wan, and Leighton Zhang. "Pensieve: An embedding feature platform." LinkedIn Engineering Blog. 2020.
Rupesh Gupta, Sasha Ovsankin, Qing Li, Seunghyun Lee, Benjamin Le, and Sunil Khanal. "Near real-time features for near real-time personalization." LinkedIn Engineering Blog. 2022.
Alex Tsun, Bo Ling, Nikita Zhiltsov, Declan Boyd, Benjamin Le, Aman Grover, and Daniel Hewlett. "Improving job matching with machine-learned activity features." LinkedIn Engineering Blog. 2022.
Huang, Po-Sen, et al. "Learning deep structured semantic models for web search using clickthrough data." Proceedings of the 22nd ACM international conference on Information & Knowledge Management. 2013.