Google search: three bugs to fix with better data science by Vincent Granville.
Vincent outlines three issues with Google search results:
- Outdated search results
- Wrongly attributed articles
- Favoring irrelevant pages
See Vincent’s post for advice on how Google can address these issues. (Might help with a Google interview to tell them how to fix such long standing problems.)
More practically, how does your TM application rate on the outdated search results?
Do you just dump content on the user to sort out (the Google dump model (GDM)) or are your results a bit more user friendly?