2020
DOI: 10.48550/arxiv.2012.04681
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

A Real-Time Whole Page Personalization Framework for E-Commerce

Abstract: E-commerce platforms consistently aim to provide personalized recommendations to drive user engagement, enhance overall user experience, and improve business metrics. Most e-commerce platforms contain multiple carousels on their homepage, each attempting to capture different facets of the shopping experience. Given varied user preferences, optimizing the placement of these carousels is critical for improved user satisfaction. Furthermore, items within a carousel may change dynamically based on sequential user … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
1
0

Year Published

2021
2021
2021
2021

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 15 publications
0
1
0
Order By: Relevance
“…Earlier studies [10,27] demonstrate that user engagement increases when users are presented with a diverse selection of content. In general, page-level optimization needs to satisfy multiple important goals [13,17,21,26]. First, we must recommend relevant modules to users based on their previous shopping history.…”
mentioning
confidence: 99%
“…Earlier studies [10,27] demonstrate that user engagement increases when users are presented with a diverse selection of content. In general, page-level optimization needs to satisfy multiple important goals [13,17,21,26]. First, we must recommend relevant modules to users based on their previous shopping history.…”
mentioning
confidence: 99%