D. Zein, and C. da Costa Pereira. Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, page 170-178. ACM, (July 2022)
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..
C. da Costa Pereira, M. Dragoni, and G. Pasi. Advances in Information Retrieval, volume 5478 of Lecture Notes in Computer Science, chapter 25, Springer Berlin Heidelberg, Berlin, Heidelberg, (2009)
J. Peltonen, K. Belorustceva, and T. Ruotsalo. Proceedings of the 22Nd International Conference on Intelligent User Interfaces, page 611--622. New York, NY, USA, ACM, (2017)
J. Teevan, D. Ramage, and M. Morris. Proceedings of the Fourth ACM International Conference on Web Search and Data Mining, page 35--44. New York, NY, USA, ACM, (2011)
P. Heymann, G. Koutrika, and H. Garcia-Molina. Proceedings of the 2008 International Conference on Web Search and Data Mining, page 195--206. New York, NY, USA, ACM, (2008)
R. White, M. Bilenko, and S. Cucerzan. Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, page 159--166. New York, NY, USA, ACM, (2007)
E. Agichtein, E. Brill, S. Dumais, and R. Ragno. Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, page 3--10. New York, NY, USA, ACM, (2006)
X. Shen, B. Tan, and C. Zhai. Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, page 43--50. New York, NY, USA, ACM, (2005)
Y. Zhang, H. Fu, Z. Liang, Z. Chi, and D. Feng. Proceedings of the 2010 Symposium on Eye-Tracking Research &\#38; Applications, page 37--40. New York, NY, USA, ACM, (2010)
T. Joachims, L. Granka, B. Pan, H. Hembrooke, and G. Gay. Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, page 154--161. New York, NY, USA, ACM, (2005)