Time to Shop for Valentine's Day - Shopping Occasions and Sequential Recommendation in E-commerce

Raphael Louca
Raphael Louca
Diane Hu
Diane Hu
Caitlin Cellier
Caitlin Cellier
James Caverlee
James Caverlee

WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining Houston TX USA February, 2020, pp. 645-653, 2020.

Cited by: 0|Bibtex|Views75|DOI:https://doi.org/10.1145/3336191.3371836
EI
Other Links: dblp.uni-trier.de|academic.microsoft.com|dl.acm.org

Abstract:

Currently, most sequence-based recommendation models aim to predict a user's next actions (e.g. next purchase) based on their past actions. These models either capture users' intrinsic preference (e.g. a comedy lover, or a fan of fantasy) from their long-term behavior patterns or infer their current needs by emphasizing recent actions. Ho...More

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