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.

Abstract: A requirements matching broker is provided for use in a requirements matching system. The broker receives messages from users or from other brokers, conveying a statement of requirements, via a communications network interface. The broker includes a store and means to store predetermined rules for routing received messages. A rule includes a statement of requirements and the identity of a corresponding destination. On receipt of a message, the broker performs a comparison of a statement of requirements conveyed by the message with a statement of requirements contained within a stored routing rule. On finding a match, the broker identifies, from the matching routing rule, the identity of a destination for routing the received message and transmits the message to the identified destination via the network interface.