TIM-7241 v1

Gong, J., Wang, L., & Oard, D. W. (2009, November). Matching person names through name transformation. In Proceedings of the 18th ACM conference on Information and knowledge management, 1875-1878.
This paper presents a methodology for handling variant forms of the same-named entity through a person name-matching model.

Matt Cutts on How Google Tests Its Algorithms—Search Engine Watch. (n.d.). Retrieved May 17, 2020, from https://www.searchenginewatch.com/2014/04/03/matt-cutts-on-how-google-tests-its-algorithms/
This website presents how Google decides on its search engine algorithm design and the metrics they use to measure its efficiency.

Wu, J., Sheng, V. S., Zhang, J., Li, H., Dadakova, T., Swisher, C. L., ... & Zhao, P. (2020). Multi-label active learning algorithms for image classification: Overview and future promise. ACM Computing Surveys (CSUR), 53(2), 1-35.
This paper is a review of existing multi-label active learning algorithms for image classification. It also makes a deep investigation on existing challenging issues and future promises in multi-label active learning with a focus on four core aspects: example dimension, label dimension, annotation, and application extension.