“Result set scoring offers yet another layer of filtering that looks at a number of entities together and returns a subset of these entities that are most interesting as a set (and not necessarily the highest scoring set of results).”Tagged: Understanding Queries, NLU, Ranking, Search
“Here 273819889375819 is the fbid of the category ‘restaurants,’ and 20531316728 is the fbid of Facebook. So the query says ‘intersect places of category restaurants with places liked by employees of Facebook.”Tagged: Understanding Queries, NLU, Ranking, Search
“1. Come up with an idea for a ranking change – ideas come from a mix of creativity on the part of our ranking engineers and feedback from our users 2. Implement the ranking change, test it, and launch it to a very small fraction of our user base 3. Measure the impact of the ranking change”Tagged: Understanding Queries, NLU, Ranking, Search