Abstract: A hybrid approach for personalized recommendation of subject matter description is described, comprising: inputting the description into an analyzing engine, the analyzing engine performing the steps of: extracting at least one of metadata, ID and Title from the description; tokenizing the description to generate tokenized data; normalizing the tokenized data to produce Cast information; stemming the tokenized data to generate stemmed data; pattern matching the stemmed data to produce Genre information; word sense disambiguating the stemmed data to produce Feature information; tagging the word sense disambiguated data to produce Topic information; arriving a concise descriptor of the description.