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Increase conversion with personalized recommendations: Build a recommender that leverages product affinities to suggest additional items

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databricks-industry-solutions/market-basket-analysis

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market-basket-analysis

To run this accelerator, clone this repo into a Databricks workspace. Attach the RUNME notebook to any cluster running a DBR 11.0 or later runtime, and execute the notebook via Run-All. A multi-step-job describing the accelerator pipeline will be created, and the link will be provided. Execute the multi-step-job to see how the pipeline runs.

The job configuration is written in the RUNME notebook in json format. The cost associated with running the accelerator is the user's responsibility.

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Increase conversion with personalized recommendations: Build a recommender that leverages product affinities to suggest additional items

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