TY - GEN
T1 - Assessing the quality of search process models
AU - Lux, Marian
AU - Rinderle-Ma, Stefanie
AU - Preda, Andrei
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2018.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85053615765&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-98648-7_26
DO - 10.1007/978-3-319-98648-7_26
M3 - Conference contribution
AN - SCOPUS:85053615765
SN - 9783319986470
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 445
EP - 461
BT - Business Process Management - 16th International Conference, BPM 2018, Proceedings
A2 - Montali, Marco
A2 - Weber, Ingo
A2 - Weske, Mathias
A2 - vom Brocke, Jan
PB - Springer Verlag
T2 - 16th International Conference on Business Process Management, BPM 2018
Y2 - 9 September 2018 through 14 September 2018
ER -