Filtering Results
Explore how to design machine learning classifiers that filter out inappropriate or harmful search results. Understand data collection methods like human raters and user feedback, feature selection, and model choices such as logistic regression and boosted trees to maintain safe and relevant search experiences.
We'll cover the following...
We'll cover the following...
The layered model approach
Until now, you have selected relevant results for the searcher’s query and placed them in order of relevance. The job seems to be pretty much completed. However, you may still have to filter out results that might seem relevant for the query but are inappropriate to show.
Result set after ranking
The result set might contain results that:
- are offensive
- cause misinformation
- are trying to spread hatred
- are not appropriate for children
- are inconsiderate towards a particular group
These results are ...