Shopper intent prediction from clickstream e-commerce data with minimal browsing information
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-73622-y
Abstract: We address the problem of user intent prediction from clickstream data of an e-commerce website via two conceptually different approaches: a hand-crafted feature-based classification and a deep learning-based classification. In both approaches, we deliberately coarse-grain… read more here.
Keywords: commerce; clickstream; prediction clickstream; prediction ... See more keywords
Lévy State-Space Models for Tracking and Intent Prediction of Highly Maneuverable Objects
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2021.3088430
Abstract: In this article, we present a Bayesian framework for maneuvering object tracking and intent prediction using novel $\alpha$-stable Lévy state-space models, expressed in continuous time as Lévy processes. In contrast to conventional (fully) Gaussian formulations,… read more here.
Keywords: intent prediction; state space; tracking intent; intent ... See more keywords
Intent Prediction of Multi-axial Ankle Motion Using Limited EMG Signals
Sign Up to like & getrecommendations! Published in 2019 at "Frontiers in Bioengineering and Biotechnology"
DOI: 10.3389/fbioe.2019.00335
Abstract: Background: In this study, different intent prediction strategies were explored with the objective of determining the best approach to predicting continuous multi-axial user motion based solely on surface EMG (electromyography) data. These strategies were explored… read more here.
Keywords: motion; using limited; limited emg; multi axial ... See more keywords