January 21, 2019

#46 – An Introduction to Neural Information Retrieval

38 minutes

ML を使った検索技術 Learning To Rank に森田が入門します。感想などはハッシュタグ #misreading か [email protected] にお寄せください。

https://misreading.chat/wp-content/uploads/2019/01/ep46.mp3

An Introduction to Neural Information Retrieval – Microsoft Research

Manning | Deep Learning for Search

Introduction to Information Retrieval: Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze

Learning to Rank using Gradient Descent – Microsoft Research

RankNet: A ranking retrospective – Microsoft Research

Learning to Rank using Gradient Descent – Microsoft Research

[1812.00073] TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank

tensorflow/ranking: Learning to Rank in TensorFlow

Learning To Rank | Apache Solr Reference Guide 6.6

How Bloomberg Integrated Learning-to-Rank into Apache Solr | Tech At Bloomberg

We’re Bringing Learning to Rank to Elasticsearch

Follow up

Kazuyoshi Kato on Twitter: “”We’re using Rust in production in several places, including high-performance metrics capture and communication protocols like CoAP.” https://t.co/orkA3R4AF5 というわけで、Firecracker に限らず AWS で Rust 使われているらしいですよ。 #misreading”

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