Abstract:
The present invention relates to a system and method for ranking recommendations. The system comprises of a search module (110), a review manager (120), a review analyser (130), a ranking module (140), a search engine (150), a review repository (160) and a service ranking rules repository (170). The system uses a set of rules to determine a sentiment-trust index value for ranking recommendations.
Abstract:
The present invention relates to a system and method for providing an enriched and personalized content based on an original content, which can aid to improve a learner's experience. The system includes an element extraction engine 100, a classification engine 200; a personalization and annotation engine 300, a content and transformation engine 400 and a feedback analysis engine 500. A method thereof is also provided.