Individualization Technique

Customized Contents Recommendation and Personalization

As the production of user-created contents including videos is greatly increasing and their distribution structure is getting diversified, it is increasingly difficult to easily find and consume content. Saltlux’s user-customized contents recommendation and personalization solutions analyze user preference semantically and intelligently recommend content suitable for each user.

  • Customer Problems

Though productivity, storage, and management expenses of content are increasing, users’ consumption is only part of them. Hidden content has little chance to be exposed and consumed, and users’ satisfaction with contents consumption is not high.

  • Introduction Effects

Through a recommendation for the optimized contents to each user and realization of personalization services, it increases consumption of contents, improves user satisfaction, and increases service sales.

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  • Main Functions

Through analysis of semantic preference based on demography and user behavior pattern, it enables intelligent search and personalized recommendation of various media such as video, news, broadcasting, blogs, social contents, and others.

  • Built-in Products

DISCOVERY, STORM

  • Major Customers

Recommendation by KBS, KT Olleh TV, The Genius, ziny.news, Brie Pie, etc.