Assessing the Quality of Search Process Models

Author(s)
Marian Lux, Stefanie Rinderle-Ma, Andrei Preda
Abstract

Search processes are highly individual business processes reflecting the search behavior of users in search systems. The analysis of search processes is a promising instrument in order to improve customer journeys and experience. The quality of the analysis results depends on the underlying data, i.e., logs and the search process models. However, it is unclear what quality means with respect to search process logs and models. This paper defines search process models and revisits existing process model and log quality metrics. A metric for search process models is proposed that assesses their complexity and degree of common behavior. In order to compare metrics for search process models different logs and search processes are generated by using ontologies for user guidance during search process execution and for post processing of the logs. Based on an experiment with users in the tourism setting different logs and models are created and compared.

Organisation(s)
Research Platform Data Science @ Uni Vienna, Research Group Workflow Systems and Technology
Pages
445-461
No. of pages
17
DOI
https://doi.org/10.1007/978-3-319-98648-7_26
Publication date
09-2018
Publication status
Published
Peer reviewed
Yes
Austrian Fields of Science 2012
102015 Information systems
Portal url
https://ucris.univie.ac.at/portal/en/publications/assessing-the-quality-of-search-process-models(21c51237-ca0d-404d-a7ec-4617483c0769).html