Recommenders are built on user breadcrumbs: what a user visited, clicked, added to a basket, bought …
Could we use #ChatGPT generative power to recommend the next user action based on user’s past actions, in a prompt-based sequence?
— 2 examples after a search on strawberries–
“Given that someone likes strawberries, what would be 5 other domains of interest for this person?”
1. Gardening 2. Cooking 3. Food Preservation 4. Nutrition 5. Farming
“Given that someone likes strawberries, can you build a recipe and produce here a list of 10 other items from the recipe?”
Strawberry Shortcake Recipe Ingredients: 1. 2 cups all-purpose flour 2. 1/4 cup sugar 3. 4 teaspoons baking powder 4. 1/2 teaspoon salt 5. 1/2 cup cold butter, cut into small pieces 6. 2/3 cup milk 7. 2 egg whites 8. 2 cups fresh strawberries, sliced 9. 1/2 cup sugar 10. 1/4 cup all-purpose flour 11. 1/4 teaspoon ground cinnamon 12. 1/4 teaspoon ground nutmeg 13. 2 tablespoons butter, melted 14. 2 cups heavy cream 15. 2 tablespoons confectioners’ sugar 16. 1 teaspoon vanilla extract 17. 2 tablespoons sliced almonds
WPSOLR + Weaviate: https://wpsolr.com