Learning "Learning to Rank"
Presentation name: Learning "Learning to Rank"
Speaker: Sophie Watson
Description: Excellent recall is insufficient for useful search; search engines also need to identify the most relevant results in a sea of matches. Learning to Rank algorithms aim to capture the relative utility of search results so as to return useful suggestions quickly and efficiently.
In this introductory talk Sophie will explain some Learning to Rank methods, from standard linear regression, to gradient-boosted decision trees, and apply them to a real search engine. She will compare the methods and discuss the pitfalls she ran into when training a Learning to Rank model.
You will walk away from this talk with an understanding of the problems involved in relevant search, an overview of key techniques, and the knowledge needed to implement Learning to Rank algorithms on your own data set.
[ https://sched.co/JckY]
Видео Learning "Learning to Rank" канала DevConf
Speaker: Sophie Watson
Description: Excellent recall is insufficient for useful search; search engines also need to identify the most relevant results in a sea of matches. Learning to Rank algorithms aim to capture the relative utility of search results so as to return useful suggestions quickly and efficiently.
In this introductory talk Sophie will explain some Learning to Rank methods, from standard linear regression, to gradient-boosted decision trees, and apply them to a real search engine. She will compare the methods and discuss the pitfalls she ran into when training a Learning to Rank model.
You will walk away from this talk with an understanding of the problems involved in relevant search, an overview of key techniques, and the knowledge needed to implement Learning to Rank algorithms on your own data set.
[ https://sched.co/JckY]
Видео Learning "Learning to Rank" канала DevConf
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
![Applied Machine Learning for Ranking Products in an Ecommerce Setting Arnoud de Munnik Wehkamp Jerry](https://i.ytimg.com/vi/6BGCn3h59nA/default.jpg)
![Serving a Billion Personalized News Feeds](https://i.ytimg.com/vi/Xpx5RYNTQvg/default.jpg)
![How to Kill Two Birds with One Stone: Learning to Rank with Multiple Objectives by Alexey Kurennoy](https://i.ytimg.com/vi/nCtM4Xg7e4k/default.jpg)
![Text Classification 5: Learning to Rank](https://i.ytimg.com/vi/2UpLin5T_E4/default.jpg)
![Better Medicine Through Machine Learning | Suchi Saria | TEDxBoston](https://i.ytimg.com/vi/Nj2YSLPn6OY/default.jpg)
![Learning “Learning to Rank” by Sophie Watson](https://i.ytimg.com/vi/VLbKkUwquCQ/default.jpg)
![Pi - Numberphile](https://i.ytimg.com/vi/yJ-HwrOpIps/default.jpg)
![A Multi-Armed Bandit Framework for Recommendations at Netflix | Netflix](https://i.ytimg.com/vi/kY-BCNHd_dM/default.jpg)
![Simple techniques for dealing with missing data](https://i.ytimg.com/vi/RhEuyHr2mWw/default.jpg)
![Embeddings for Everything: Search in the Neural Network Era](https://i.ytimg.com/vi/JGHVJXP9NHw/default.jpg)
![SHAP - What Is Your Model Telling You? Interpret CatBoost Regression and Classification Outputs](https://i.ytimg.com/vi/ZkIxZ5xlMuI/default.jpg)
![Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis](https://i.ytimg.com/vi/xtxxLWZznBI/default.jpg)
![PyData Tel Aviv Meetup: Learning To Rank - Uriel Vinetz](https://i.ytimg.com/vi/_GDuUwhvCK0/default.jpg)
![Crash Course IR - Evaluation](https://i.ytimg.com/vi/EiDltQZ713I/default.jpg)
![Unbiased Learning to Rank: Counterfactual and Online Approaches - The Web Conference 2020 Tutorial](https://i.ytimg.com/vi/BEEfMrn9T9c/default.jpg)
![Learning to Rank: From Theory to Production - Malvina Josephidou & Diego Ceccarelli, Bloomberg](https://i.ytimg.com/vi/eMuepJpjUjI/default.jpg)
![Improving Search with Natural Language Processing and Deep Learning | Scout24](https://i.ytimg.com/vi/fK7-mDFIkcg/default.jpg)
![Improving precision of e-commerce search results by Jens Kürsten and Arne Vogt](https://i.ytimg.com/vi/DTS0TIYx5fc/default.jpg)
![Recommender Systems](https://i.ytimg.com/vi/Eeg1DEeWUjA/default.jpg)
![Chess Ratings: A Deep Dive](https://i.ytimg.com/vi/B-TCYO3SLDI/default.jpg)