
AI Product Recommendation Widget-Personalise Suggestion for Site
Delivery in
5 days
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What you get with this Offer
I will build an AI-powered product or content recommendation widget for your website — covering visitor behaviour tracking, embedding-based content similarity for "you might also like" suggestions, and a responsive widget displaying personalised recommendations on product pages, content pages, or your homepage. Generic "related products" sections based purely on category matching miss the more sophisticated relevance that embedding-based similarity provides — a recommendation system that understands semantic similarity between products or content surfaces genuinely relevant suggestions that increase engagement and cross-sell more effectively than category-based defaults.
The build covers content or product embedding generation, a recommendation API computing similarity-based suggestions, a responsive widget component for displaying recommendations, basic visitor interaction tracking for recommendation relevance improvement, and integration into your specified page templates.
Designed for e-commerce sites, content publishers, and any website with a catalogue of products or content that wants to surface genuinely relevant recommendations to increase engagement and conversion.
The build covers content or product embedding generation, a recommendation API computing similarity-based suggestions, a responsive widget component for displaying recommendations, basic visitor interaction tracking for recommendation relevance improvement, and integration into your specified page templates.
Designed for e-commerce sites, content publishers, and any website with a catalogue of products or content that wants to surface genuinely relevant recommendations to increase engagement and conversion.
What the Freelancer needs to start the work
Please share your website platform and product/content catalogue, the pages where recommendations should appear, your current recommendation approach if any, and your website access for integration.
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