Item-for-Item Recommenders
Surface item-for-item recommendations from ALS, BPR and deep learning-based algorithms on your PDPs. Fusion Recommendations make it easy to post-process item recommendations for specific situations, such as only displaying items within a certain price threshold of the initial item.
Easily experiment with a variety of algorithm parameters and pipeline configurations. Leverage the experiments framework to assess algorithm performance and fine tune recommendations to your use case.
