Conference Proceedings

Empirical Evidence for Search Effectiveness Models

Alfan Farizki Wicaksono, Alistair Moffat, A Cuzzocrea (ed.), J Allan (ed.), N Paton (ed.), D Srivastava (ed.), R Agrawal (ed.), A Broder (ed.), M Zaki (ed.), S Candan (ed.), A Labrinidis (ed.), A Schuster (ed.), H Wang (ed.)

Association for Computing Machinery | Published : 2018


Given a SERP in response to a user-originated query, Moffat et al. (CIKM 2013; TOIS 2017) suggest that C(i), the conditional continuation probability of the user examining the (i + 1) st element presented in the SERP, given that they are known to have examined the i th one, is positively correlated with both i and with the user's initial estimate of the volume of answer pages they are looking for, and negatively correlated with the extent to which suitable answer pages have been identified in the SERP at positions 1 through i. Here we first describe a methodology for specifying how C(i) should be defined in practical (as against ideal) settings, and then evaluate the applicability of the app..

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Awarded by Australian Research Council's Linkage Projects funding scheme

Funding Acknowledgements

This work was funded under the Australian Research Council's Linkage Projects funding scheme (project number LP150100252), with additional support from