Commit 1e99747b2be0d8cf300e57de1badc1ab59a86c35

Authored by Andrew Kane
1 parent 3a3ddbb2

Updated readme [skip ci]

Showing 1 changed file with 2 additions and 7 deletions   Show diff stats
README.md
... ... @@ -656,12 +656,9 @@ Product.search("apple", track: {user_id: current_user.id})
656 656  
657 657 [See the docs](https://github.com/ankane/searchjoy) for how to install and use.
658 658  
659   -Focus on:
  659 +Focus on top searches with a low conversion rate.
660 660  
661   -- top searches with a low conversion rate
662   -- top searches with no results
663   -
664   -Searchkick can then use the conversion data to learn what users are looking for. If a user searches for “ice cream” and adds Ben & Jerry’s Chunky Monkey to the cart (our conversion metric at Instacart), that item gets a little more weight for similar searches.
  661 +Searchkick can then use the conversion data to learn what users are looking for. If a user searches for “ice cream” and adds Ben & Jerry’s Chunky Monkey to the cart (our conversion metric at Instacart), that item gets a little more weight for similar searches. This can make a huge difference on the quality of your search.
665 662  
666 663 Add conversion data with:
667 664  
... ... @@ -690,8 +687,6 @@ rake searchkick:reindex CLASS=Product
690 687  
691 688 **Note:** For zero downtime deployment, temporarily set `conversions: false` in your search calls until the data is reindexed.
692 689  
693   -This can make a huge difference on the quality of your search.
694   -
695 690 For a more performant way to reindex conversion data, check out [performant conversions](#performant-conversions).
696 691  
697 692 ## Personalized Results
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