Dynamically determining customer intent and related recommendations using deep learning techniques

摘要

Methods, apparatus, and processor-readable storage media for dynamically determining customer intent and related recommendations using deep learning techniques are provided herein. An example computer-implemented method includes generating a prediction as to whether a user will order a particular offering during a user browsing session by applying one or more deep learning techniques to browsing session data derived from the user browsing session; mapping the user browsing session to one or more pre-established procurement user types by comparing the browser session data to data pertaining to multiple pre-established procurement user types; determining a recommendation of one or more offerings distinct from the particular offering, wherein determining the recommendation is based at least in part on the generated prediction and the mapping of the user browsing session to one or more of the multiple pre-established procurement user types; and outputting, within the user browsing session, the recommendation to the user.