Negative implicit feedback in e-commerce recommender systems

WIMS, 2013.

Cited by: 14|Bibtex|Views12|DOI:https://doi.org/10.1145/2479787.2479800
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Other Links: dblp.uni-trier.de|dl.acm.org|academic.microsoft.com

Abstract:

In this paper, we imagine the situation of a typical e-commerce portal employing personalized recommendation. Such website typically receives user feedback from their implicit behavior such as time on page, scrolling etc. The implicit feedback is generally understood as positive only, however we present several methods how to identify som...More

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