Introduction
Alie’s “Customized Recommendation” feature allows you to add a layer of filters to generate customized recommendations. You can configure multiple filters to fine-tune recommendations and provide customized recommendations.
All you need to do is, just login into the Alie dashboard, select the option to upload your own dataset and generate the recommendations. Once the recommendations are generated you can apply the filters of your choice to calibrate the final recommendations.
Highlights
Highlights
- Customize your recommendations
- Use Logical Filters
- Industry-Specific Recommendations
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Elevate User Experience with Personalized Recommendations
Customize your recommendations
Customize your recommendations
Alie’s filters give businesses the flexibility to alter recommendations for every user so that specific business needs are met. For example, An eCommerce store might consider recommending only highly rated products to some of its highest-paying customers. This can be easily achieved by using one of Alie’s pre-built filters. Filters give businesses more control by customizing every recommendation.
Use Logical Filters
Use Logical Filters
Alie offers multiple logical conditions to filter the recommendations based on your requirements. For Ex. If you are a multibrand e-commerce store and have a contractual obligation, you can’t display recommendations of competing brands together. In this case, you may use the ‘not equal to brand X’ condition to remove the recommendations of the competing brand. More such conditions & Filters include - Equal to, Greater Than, Less Than, Contains, AND, OR, and XOR
Industry-Specific Recommendations
Industry-Specific Recommendations
Alie’s AI-based algorithms and accompanying filters ensure the most accurate recommendations for all the industries, whether it is Ecommerce, Streaming media, or EdTech. Alie filters allow these businesses to customize every recommendation to improve the end-user experience.
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