AI Recommendations

SuggestIQ Powered by Alie Sparkle Icon

ai recommendation engine Alie

Key Capabilities of SuggestIQ

Review Recommendations Review Recommendations

Check recommendations’ accuracy before integrating them on your website/app

 
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Most Viewed Most Viewed

Recommend items to your users that are most viewed by other users

 
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Customized Recommendations Customized Recommendations

Use in-built filters to show Accurate & Customized Recommendations

 
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Other User's Choice Other User's Choice

Recommend your users based on the likes and dislikes of other users

 
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Multiple Algorithms Multiple Algorithms

Choose the machine learning (ML) algorithms suitable for your business needs

 
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Multiple Dataset Training Multiple Dataset Training

Train SuggestIQ on multiple datasets for faster & improved recommendations

 
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End-User Interaction End-User Interaction

Recommend your users based on their past interaction with your platform

 
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Multiple Data Types Multiple Data Types

Generate true domain-agnostic recommendations with multiple data types

 
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Analytics & Insights Analytics & Insights

Track and report, how your recommendations are engaging with end users

 
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See What Matters with SuggestIQ

one touch enablement

One Touch Enablement

Effortlessly integrate Suggest IQ with Muvi One. Simply enable it within the "Manage Content" section of your Muvi One CMS and unlock the potential of artificial intelligence with ease.

activity based recommendation

Activity-Based Recommendation

Maximize content discovery. Suggest IQ - powered by Alie, utilizes machine learning to analyze user behavior such as likes, views, shares, searches, browses, watchtime and more, suggesting only relevant videos, optimizing click through rates and watch time.

no background building

No Background Building

Eliminate manual data ingestion. With collaborative filtering, deep learning, and content-based algorithms, Suggest IQ needs zero manual data input to suggest relevant content to users.

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