Recumend systems

RECSYS: RAJEEV RASTOGI about three recommendation system challenges

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RECSYS: RAJEEV RASTOGI about three recommendation system challenges

Rayev Rastogi, Vice President of Applied Science in Amazon’s International Emerging Stores Division. In a Keynote address of this year’s ACM Conference on Recommendation Systems (Recsys), which starts next week, Rajeev Rastogi, Vice President of Applied Science in Amazon’s International Emerging Stores Division, will discuss three problems that have been in its recommendation algorithms: Recommendations … Read more

To ensure that customers do not miss trending products

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To ensure that customers do not miss trending products

Obviously, recommendation systems tend to recommend products that have proven to be popular over time – where generally or among customers with certain taste profiles. But popularity -based recommendations can miss Trending Products or product that, although they have yet reached high amounts of purchase, are rapidly increasing in popularity. Customers who make an inquiry … Read more

Building CommonsSence Knowledge Graphs to help with product recommendation

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Building CommonsSence Knowledge Graphs to help with product recommendation

In the Amazon store, we strive to deliver the product recommendations that are mostly to customers’ queries. Often it can require Commonsse -Reasoning. For example, if a customer. Submitted to request for “Shoes for Pregnant Women”, the recommendation engine can be able to be able to infer that pregnant women may want sliding resistant shoes. … Read more