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Search Engine in Startups : What to Optimize /
Presented by Liang Wu, Machine Learning Data Scientist at Airbnb Choosing the correct optimization metric is key to success of a search engine. Unlike in traditional web searches, where clicks are clearly the main objective to optimize, many emerging vertical search engines like E-Commerce search ma...
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| Format: | Vidéo |
| Langue: | Inglés |
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[Erscheinungsort nicht ermittelbar] :
Data Science Salon,
2019
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| Édition: | 1st edition. |
| Accès en ligne: | Texto completo (Requiere registro previo con correo institucional) |
| Résumé: | Presented by Liang Wu, Machine Learning Data Scientist at Airbnb Choosing the correct optimization metric is key to success of a search engine. Unlike in traditional web searches, where clicks are clearly the main objective to optimize, many emerging vertical search engines like E-Commerce search may require a different optimization metric, such as conversions, revenue, and quality. Selection of a good metric may depend on the query type (transactional vs. navigational vs. informational) and also on the goal of a business (profitability vs. growth). For example, a typical product search engine may focus on maximizing the number of transactions and total revenue, while navigational search may aim at minimizing the total number of clicks. In this talk, we will investigate factors needed to be considered when we are in search for a good metric, and we will also walk through an example of designing an optimization metric for a particular business, including how it is selected, mathematically defined, and optimized with a machine learning framework. |
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| Description: | Online resource; Title from title screen (viewed September 10, 2019). |
| Description matérielle: | 1 online resource (1 video file, circa 28 min.) |