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Response Prediction and Ranking Models for Large-Scale Ecommerce Search

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Applied Advanced Analytics

Part of the book series: Springer Proceedings in Business and Economics ((SPBE))

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Abstract

User response prediction is the bread and butter of an ecommerce site. Every ecommerce site which is popular is running a response prediction engine behind the scenes to improve user engagement and to minimize the number of hops or queries that a user must fire in order to reach the destination item page which best matches the user’s query.

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Correspondence to Seinjuti Chatterjee .

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Chatterjee, S., Mishra, R.S., Raichandani, S., Joshi, P. (2021). Response Prediction and Ranking Models for Large-Scale Ecommerce Search. In: Laha, A.K. (eds) Applied Advanced Analytics. Springer Proceedings in Business and Economics. Springer, Singapore. https://doi.org/10.1007/978-981-33-6656-5_17

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