# Graph recommender engine

**URL:** <https://community.neo4j.com/t/graph-recommender-engine/8045>\
**Category:** Neo4j Graph Platform\
**Created:** [June 13, 2019, 2:55pm UTC](https://community.neo4j.com/t/graph-recommender-engine/8045 "2019-06-13T14:55:02Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![werner](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/werner/32/6571_2.png) [@werner](https://community.neo4j.com/u/werner)\
**Post date:** [June 13, 2019, 2:55pm UTC](https://community.neo4j.com/t/graph-recommender-engine/8045/1 "2019-06-13T14:55:02Z")

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Anybody have resources on how to build a recommend-er engine based on shows watched by a user, running on neo4j ( or any graph database ).

Using some APOC graph algorithms or any ML models

I would really appreciate this.

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**Author:** ![mike\_r\_black](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/mike_r_black/32/30089_2.png) [@mike\_r\_black](https://community.neo4j.com/u/mike_r_black)\
**Post date:** [June 13, 2019, 3:05pm UTC](https://community.neo4j.com/t/graph-recommender-engine/8045/2 "2019-06-13T15:05:04Z")

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The welcome tutorial when you first launch Neo4j Desktop has a sample movie database with sample queries that recommend actors to work with other actors. Should be easy enough to adapt that tutorial to your desires.