What is it about?
A novel re-ranking method that incorporates segment-based customer preferences and as a result increases the commercial efficiency of Web shop’s search engine, increases the average rank of product clicks and the add-to-basket rate, and interestingly at the same time decreases the click-through rate.
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Why is it important?
Counter-intuitive to Web search, where the average rank of clicks is used to measure the quality of Web search, we show that this might not be reliable for e-commerce. On the opposite, making recommendations more specific results in an increasing average rank of product clicks.
Read the Original
This page is a summary of: An experimental study on re-ranking web shop search results using semantic segmentation of user profiles, Electronic Commerce Research and Applications, November 2023, Elsevier,
DOI: 10.1016/j.elerap.2023.101310.
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