by Tarandeep Singh
Last Updated July 12, 2019 09:19 AM - source

In an e-commerce site, there are N categories (shirts, trousers, jackets, coats...). From user's browsing history (most recent products viewed), how can I:

- infer the category user is most interested in?
- compute probability for above or associate some score with my inference
- how to account for cases when user doesn't have enough history. How much history is enough to arrive at some reasonable conclusion?

Any help is greatly appreciated.

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