Search Ratings
You’re given a table that represents search results from searches on Facebook. The query column is the search term, the position column represents each position the search result came in, and the rating column represents the human rating of the search result from 1 to 5 where 5 is high relevance and 1 is low relevance.
Example:
Input:
search_results table
| Column | Type |
|---|---|
query |
VARCHAR |
result_id |
INTEGER |
position |
INTEGER |
rating |
INTEGER |
Write a query to compute a metric to measure the quality of the search results for each query.
You want to be able to compute a metric that measures the precision of the ranking system based on position. For example, if the results for dog and cat are…
| query | result_id | position | rating | notes |
|---|---|---|---|---|
| dog | 1000 | 1 | 2 | picture of hotdog |
| dog | 998 | 2 | 4 | dog walking |
| dog | 342 | 3 | 1 | zebra |
| cat | 123 | 1 | 4 | picture of cat |
| cat | 435 | 2 | 2 | cat memes |
| cat | 545 | 3 | 1 | pizza shops |
…we would rank ‘cat’ as having a better search result ranking precision than ‘dog’ based on the correct sorting by rating.
Write a query to create a metric that can validate and rank the queries by their search result precision. Round the metric (avg_rating column) to 2 decimal places.
Output:
| Column | Type |
|---|---|
| query | VARCHAR |
| avg_rating | FLOAT |