Complementary-Product Recommendation Task

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A Complementary-Product Recommendation Task is a product recommendation task that is a complementary item recommendation task.



References

2020

  • Tong Zhao. (2020). “Improving complementary-product recommendations." Blog post
    • QUOTE: ... One way that e-commerce sites make life easier for customers is by recommending products that complement whatever the customer is looking for: someone buying a tennis racket, for instance, may also want to buy tennis balls; someone buying a camera may want an SD card for extra storage. …

2019a

2019b

  • https://tech.ebayinc.com/engineering/complementary-item-recommendations-at-ebay-scale/
    • QUOTE: ... Generating relevant complementary item recommendations that drive conversion at eBay is no easy task. eBay is an e-commerce marketplace with 1.2 billion items and 179 million buyers, where users can buy and sell virtually anything. In addition to the challenge of the large scale, there is limited structured data attributes, such as ISBN, available for these items, which makes it difficult to use traditional collaborative filtering approaches for generating recommendations.

      The inventory is also volatile; some items on eBay are listed for just a week and never appear again. Given all of these constraints, it is difficult to even generate similar item recommendations given an input seed item (example: seed = iPhone 7 32GB, recommendation = iPhone 7 64GB). Generating items that would complement the seed item, so that the seed and recommended items might be purchased together in a bundle for example, is even more challenging (example: seed = iPhone 7 32GB, recommendation = iPhone 7 case). Here, we describe the complementary items algorithm we developed to solve this task. …

2019c

2015