Add paper on seasonal relevance in search

README.md

@@ -208,6 +208,7 @@ P.P.S, Looking for guides and interviews on applying ML? 👉[`applyingML`](http
 3. [Semantic Product Search](https://arxiv.org/abs/1907.00937) ([Paper](https://arxiv.org/pdf/1907.00937.pdf)) `Amazon`
 4. [QUEEN: Neural query rewriting in e-commerce](https://www.amazon.science/publications/queen-neural-query-rewriting-in-e-commerce) ([Paper](https://assets.amazon.science/f9/78/dda8f1e143dba8ca96e43ec487c6/queen-neural-query-rewriting-in-ecommerce.pdf)) `Amazon`
 5. [Using Learning-to-rank to Precisely Locate Where to Deliver Packages](https://www.amazon.science/blog/using-learning-to-rank-to-precisely-locate-where-to-deliver-packages) ([Paper](https://www.amazon.science/publications/getting-your-package-to-the-right-place-supervised-machine-learning-for-geolocation)) `Amazon`
+6. [Seasonal relevance in e-commerce search](https://www.amazon.science/publications/seasonal-relevance-in-e-commerce-search) ([Paper](https://assets.amazon.science/ac/5e/d47612a846d6bec15738d7c8ab40/seasonal-relevance-in-ecommerce-search.pdf)) `Amazon`
 3. [How Lazada Ranks Products to Improve Customer Experience and Conversion](https://www.slideshare.net/eugeneyan/how-lazada-ranks-products-to-improve-customer-experience-and-conversion) `Lazada`
 4. [Using Deep Learning at Scale in Twitter’s Timelines](https://blog.twitter.com/engineering/en_us/topics/insights/2017/using-deep-learning-at-scale-in-twitters-timelines.html) `Twitter`
 5. [Machine Learning-Powered Search Ranking of Airbnb Experiences](https://medium.com/airbnb-engineering/machine-learning-powered-search-ranking-of-airbnb-experiences-110b4b1a0789) `Airbnb`