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AI Recommendations Playground

Welcome to the AI Recommendations Playground: Here's how to use the playground

Start by selecting a predefined customer inquiry to test the recommendations. For example, "I'm looking for women's jeans for a summer party":

Filters
Vectorized data
Data Type
Number of jeans
Pick a customer inquiry

AI product recommendations

How to Use the Playground

We've walked through various techniques including data examination, vectorization, hybrid search, and reranking. Each step has demonstrated how AI and LLMs can significantly improve product recommendations.

Here, you can experiment with various techniques we discussed to see how they affect product recommendations. Start by selecting a predefined customer inquiry to test the recommendations. For example, "I'm looking for women's jeans for a summer party":

All images/dataset used throughout this guide are from: Aggarwal, P. (2022). Fashion Product Images (Small). Available online: https://www.kaggle.com/datasets/paramaggarwal/fashion-product-images-dataset

Filters Section

  • Vectorized Data: Select between vectorizing product texts, product images, or both.
  • Data Type: Choose between using the original product descriptions or optimized (enriched) descriptions.
  • Hybrid Search: Enable hybrid search to combine keyword and semantic search. Use the slider to adjust the balance between the two.
  • Reranker: Use an additional LLM (GPT-4) to rerank the results after querying the vector database.
  • Number of Jeans: Choose how many top jeans recommendations to display (5, 10, or 15).

Customer Inquiry Section

  • Customer Inquiry: Select a predefined customer inquiry to test the recommendations. For example, "I'm looking for women's jeans for a summer party."

AI Product Recommendations Section

  • Results: The recommended products will be displayed based on your selected filters and customer inquiry.

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Using a dynamic, interactive approach, I can show you the impact of AI on your products in real-time, tailored to your specific e-commerce needs.

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