SYSTEM AND METHOD FOR GENERATING MULTIMEDIA RECOMMENDATIONS BY USING ARTIFICIAL INTELLIGENCE CONCEPT MATCHING AND LATENT SEMANTIC ANALYSIS

摘要

The embodiments provide methods and systems for content recommendation. In some embodiments, the content is parsed into components and the components are semantically analyzed to determine the concept or themes of the content. The concepts or themes of the content are then compared to the concepts and themes of previously analyzed content. Recommendations are thus determined based on a comparison at the component-level of the content without the need for editorial input. Recommendations may also be based on other factors, such as user history, collaborative filtering, third party reviews, and the like.