Content Discovery, Relevance
and Engagement

ContentWise helps users easily find relevant content, enjoy a personalized experience and discover new content based on their community of interest and friends.

ContentWise 4.0 recommendation engine analyzes user profiles, preferences and activity, ingests content metadata and programming schedules and suggests the best content for each individual viewer. Recommendations help users discover lesser-known content, increase time spent and reduce customer churn.

Content-based recommendations

ContentWise mines catalog metadata from proprietary sources as well as industry-standard metadata providers and maps similarities among items. The engine recommends similar content by genre, category, cast, release date, publisher and other metadata including unstructured information.

Personalization

ContentWise analyzes each user activity stream, their implicit and explicit ratings and their content choices to create a user’s taste profile and deliver a personalized experience, suggest content and target content promotions to clusters of users who are likely to respond positively.

Social network recommendations

ContentWise generates recommendations based on clusters of users with similar profiles and preferences, or social network friends. ContentWise implements collaborative filtering and network mapping techniques, it ingests social network data and supports recommendations from friends and followers.

Cross-media discovery

ContentWise recommendation engine can recommend media in one category, for example games, based on user activity and catalog data in a different category, for example live television. Operators of app stores or multimedia services can manage multiple category sets within a multimedia catalog, including TV content, Video on Demand, Ebooks, Games, Music and Apps.

Multi-screen experience

ContentWise takes into account the “screen taxonomy” of a household, by managing multiple users and devices within an account. ContentWise delivers recommendations to shared and personal devices like TVs, tablets, phones and computers. Such recommendations are specific to each user and to each device.

Smartchannels and bookmarking

ContentWise allows users to save recommendations, searches and items into dynamic personal “channels” that get updated automatically as new content enters the catalog.

Smart Search

ContentWise ships with a personalized search functionality that processes both user profile data (e.g. purchased items, past views, like/dislikes) and her explicit preferences (e.g. user preferred actors, genres, authors…) for taste based results.

Localization-ready

ContentWise supports multiple languages out of the box and is localization-ready.