Abstract
Online visitors often do not find the content they were expecting on specific pages of a large enterprise website, and subsequently search for it in site’s search box. In this paper, we propose methods to leverage website search logs to identify missing or expected content on webpages on the enterprise website, while showing how several scenarios make this a non-trivial problem. We further discuss how our methods can be easily extended to address concerns arising from the identified missing content.
Cite
CITATION STYLE
Jhamtani, H., Roy, R. S., Chhaya, N., & Nyberg, E. (2017). Leveraging site search logs to identify missing content on enterprise webpages. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10193 LNCS, pp. 506–512). Springer Verlag. https://doi.org/10.1007/978-3-319-56608-5_41
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
