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Response Prediction and Ranking Models for Large-Scale Ecommerce Search

In: Applied Advanced Analytics

Author

Listed:
  • Seinjuti Chatterjee

    (Unbxd)

  • Ravi Shankar Mishra

    (Unbxd)

  • Sagar Raichandani

    (Unbxd)

  • Prasad Joshi

    (Unbxd)

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.

Suggested Citation

  • Seinjuti Chatterjee & Ravi Shankar Mishra & Sagar Raichandani & Prasad Joshi, 2021. "Response Prediction and Ranking Models for Large-Scale Ecommerce Search," Springer Proceedings in Business and Economics, in: Arnab Kumar Laha (ed.), Applied Advanced Analytics, pages 199-218, Springer.
    • Handle: RePEc:spr:prbchp:978-981-33-6656-5_17
    DOI: 10.1007/978-981-33-6656-5_17
    as

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