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This post is part of a series covering Yelp's real-time streaming data infrastructure. Our series explores in-depth how we stream MySQL and Cassandra data at real-time, how we automatically track & migrate schemas, how we process and transform streams, and finally how we connect all of this into data stores like Redshift, Salesforce, and Elasticsearch. Read the posts in the series: Billions of Mes
So much data on Yelp is locked away in millions of uploaded photos of restaurants, stores, and everywhere else. It's trying to give its computers the key. Frances Haugen was part of the first wave of people to use Google back in 1996. Her mother, a faculty member at the University of Iowa1, showed her the search engine, which was still a research project at Stanford University. Haugen was blown aw
Yelp hosts tens of millions of photos uploaded by Yelpers from all around the world. The wide variety of these photos provides a rich window into local businesses, a window we’re only just peeking through today. One way we’re trying to open that window is by developing a photo understanding system which allows us to create semantic data about individual photographs. The data generated by the syste
http://www.youtube.com/watch?v=qAN6iyYPbEE#t=15m54s Yelpの検索チームのJohn Bilingsが、リアルタイムサーチに近いかたちにElasticsearchをうまくスケールさせるための取組みを紹介しています。 金曜日の夜にchicken tikka masalaを食べたいと思い、Yelpで店を検索して、はじめての店だったので、レビュー検索ボックスに "chicken tikka masala" を入力してみる。幸いいくつかの "chicken tikka masala" に関するレビューが表示される。 このデータはMySQLに保存されているが、 select * from reviews where content like '%chicken tikka masala%' and id = 123456 で簡単に問題解決か?いや、そ
"Speaker: Soups Ranjan This talk would give you an in-depth overview of Real-Time Bidded (RTB) advertising systems, and why with increasing sophistication in ad-tech, in the future we will wonder why we ever hated ads. In particular, this talk will discuss technical challenges in ad systems and how we use Computational Advertising and Data Science to solve problems around Click Through Rate (CTR)
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