Jinyoung (Jin) Kim is a data scientist, data enthusiast and data evangelist. In Microsoft, he has tackled challenging measurement problems in the area of web and conversational search. In his free time, he collects and analyzes various types of data on and around him.
He has published more than a dozen papers in the area of information retrieval and data mining, and recently published a book titled Hello, Data Science, which became a national bestseller (#1 in technology category) in Korea with critical acclaim.
He has taught tutorials in evaluation and measurement of online services in both Microsoft and SIGIR, and consulted various teams in Microsoft on metric and experiment design. He has also served in program committees and organized workshops in SIGIR, WSDM, WWW, ECIR conferences.
Understanding and Modeling Success in Email Search
Jin Young Kim, Nick Craswell, Susan Dumais, Filip Radlinski, Fang Liu. 2017. In Proceedings of the 40th Annual International ACM Conference on Research and Development in Information Retrieval (SIGIR).
Offline Evaluation for Information Retrieval
Jin Young Kim, Emine Yilmaz and Paul Thomas. 2016. Foundations and Trends in Information Retrieval (in preparation).
Explicit In Situ User Feedback for Web Search Results
Jin Young Kim, Jaime Teevan and Nick Craswell. 2016. In Proceedings of the 39th Annual International ACM Conference on Research and Development in Information Retrieval (SIGIR).
Toward Predicting the Outcome of an A/B Experiment for Search Relevance
Lihong Li, Jin Young Kim, and Imed Zitouni. 2015. In Proceedings of the 8th ACM International Conference on Web Search and Data Mining (WSDM).
Contextual and dimensional relevance judgments for reusable SERP-level evaluation
Peter B. Golbus, Imed Zitouni, Jin Young Kim, Ahmed Hassan, and Fernando Diaz. 2014. In Proceedings of the 23rd international conference on World wide web (WWW).
Understanding Web Search Interactions with Dynamic Results Generated using Implicit Feedback
Jin Young Kim, Mark Cramer, Jaime Teevan, Dmitry Lagun. 2013. In Proceedings of the 22nd ACM Conference on Information and Knowledge Management (CIKM).
Relevance Dimensions in Preference-Based IR Evaluation
Jin Young Kim, Gabriella Kazai, Imed Zitouni. 2013. In Proceedings the 35th annual international ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR).
Characterizing web content, user interests, and search behavior by reading level and topic
Jin Young Kim, Kevyn Collins-Thompson, Paul N. Bennett, Susan T. Dumais. 2012. In Proceedings of 5th ACM International Conference on Web Search and Data Mining, Seattle, WA, USA (WSDM).
A Field Relevance Model for Structured Document Retrieval
Jin Young Kim and W. Bruce Croft. 2012. In Proceedings of the 34th European Conference on Information Retrieval (ECIR), Barcelona, Spain.
- SIGIR Tutorial on IR Evaluation: Designing an End-to-End Offline Evaluation Pipeline
Jin Young Kim and Emine Yilmaz