Merge pull request eugeneyan#106 from eugeneyan/dev

dev

README.md

@@ -70,6 +70,7 @@ P.S., Want a summary of ML advancements? 👉[`ml-surveys`](https://github.com/e
 5. [Turning Metadata Into Insights with Databook](https://eng.uber.com/metadata-insights-databook/) `Uber`
 5. [Metacat: Making Big Data Discoverable and Meaningful at Netflix](https://netflixtechblog.com/metacat-making-big-data-discoverable-and-meaningful-at-netflix-56fb36a53520) ([Code](https://github.com/Netflix/metacat)) `Netflix`
 6. [DataHub: A Generalized Metadata Search & Discovery Tool](https://engineering.linkedin.com/blog/2019/data-hub) ([Code](https://github.com/linkedin/datahub)) `LinkedIn`
+7. [DataHub: Popular Metadata Architectures Explained](https://engineering.linkedin.com/blog/2020/datahub-popular-metadata-architectures-explained) `LinkedIn`
 7. [How We Improved Data Discovery for Data Scientists at Spotify](https://engineering.atspotify.com/2020/02/27/how-we-improved-data-discovery-for-data-scientists-at-spotify/) `Spotify`
 8. [How We’re Solving Data Discovery Challenges at Shopify](https://engineering.shopify.com/blogs/engineering/solving-data-discovery-challenges-shopify) `Shopify`
 9. [Nemo: Data discovery at Facebook](https://engineering.fb.com/data-infrastructure/nemo/) `Facebook`
@@ -162,6 +163,7 @@ P.S., Want a summary of ML advancements? 👉[`ml-surveys`](https://github.com/e
 35. [Using AI to Help Health Experts Address the COVID-19 Pandemic](https://ai.facebook.com/blog/using-ai-to-help-health-experts-address-the-covid-19-pandemic/) `Facebook`
 36. [A Case Study of Session-based Recommendations in the Home-improvement Domain](https://dl.acm.org/doi/10.1145/3383313.3412235) ([Paper](https://dl.acm.org/doi/pdf/10.1145/3383313.3412235)) `Home Depot`
 37. [Balancing Relevance and Discovery to Inspire Customers in the IKEA App](https://dl.acm.org/doi/10.1145/3383313.3411550) ([Paper](https://dl.acm.org/doi/pdf/10.1145/3383313.3411550)) `Ikea`
+38. [How we use AutoML, Multi-task learning and Multi-tower models for Pinterest Ads](https://medium.com/pinterest-engineering/how-we-use-automl-multi-task-learning-and-multi-tower-models-for-pinterest-ads-db966c3dc99e) `Pinterest`
 
 ## Search & Ranking
 1. [Amazon Search: The Joy of Ranking Products](https://www.amazon.science/publications/amazon-search-the-joy-of-ranking-products) ([Paper](https://assets.amazon.science/89/cd/34289f1f4d25b5857d776bdf04d5/amazon-search-the-joy-of-ranking-products.pdf), [Video](https://www.youtube.com/watch?v=NLrhmn-EZ88), [Code](https://github.com/dariasor/TreeExtra)) `Amazon`
@@ -192,6 +194,7 @@ P.S., Want a summary of ML advancements? 👉[`ml-surveys`](https://github.com/e
 20. [Shop The Look: Building a Large Scale Visual Shopping System at Pinterest](https://dl.acm.org/doi/abs/10.1145/3394486.3403372) ([Paper](https://dl.acm.org/doi/pdf/10.1145/3394486.3403372), [Video](https://crossminds.ai/video/5f3369790576dd25aef288d7/)) `Pinterest`
 21. [GDMix: A Deep Ranking Personalization Framework](https://engineering.linkedin.com/blog/2020/gdmix--a-deep-ranking-personalization-framework) ([Code](https://github.com/linkedin/gdmix)) `LinkedIn`
 22. [Bringing Personalized Search to Etsy](https://codeascraft.com/2020/10/29/bringing-personalized-search-to-etsy/) `Etsy`
+23. [Building a Better Search Engine for Semantic Scholar](https://medium.com/ai2-blog/building-a-better-search-engine-for-semantic-scholar-ea23a0b661e7) `Allen Institute for AI`
 
 ## Embeddings
 1. [Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba](https://arxiv.org/abs/1803.02349) ([Paper](https://arxiv.org/pdf/1803.02349.pdf)) `Alibaba`