D. Ramage, P. Heymann, C. Manning, and H. Molina. WSDM '09: Proceedings of the Second ACM International Conference on Web Search and Data Mining, page 54--63. New York, NY, USA, ACM, (2009)
R. Hosseini, P. Brusilovsky, M. Yudelson, and A. Hellas. Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, page 76--84. New York, NY, USA, ACM, (2017)
S. Sahebi, F. Oroumchian, and R. Khosravi. WI-IAT '08: Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, page 82--85. Washington, DC, USA, IEEE Computer Society, (2008)
H. Yang, and J. Callan. Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, page 421--428. New York, NY, USA, ACM, (2006)
A. Zhang, J. Chen, W. Chai, J. Xu, L. Hong, and E. CHI. ACM Trans. Interact. Intell. Syst., 8 (2):
14:1--14:28(June 2018)Interesting attempt to engineer a multi-step process for app search cluster evaluation using crowdsourcing. In some cases crowd performed better than experts..
P. Sanchez, and L. Dietz. Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, page 132-142. ACM, (July 2022)Assessing the value of RecSys you need to distinguish user types - and it can be done by clustering.