BEHAVIORAL DATA DRIVEN RECOMMENDATION

摘要

A method and computer readable medium for a fully integrated IT recommendation system, comprising receiving contextual data comprising information regarding what a user is currently viewing; receiving relational data information regarding the user's previous interaction with an online community related to IT administrators; receiving market view data comprising industry trend information related to IT, the industry particular to the user's industry. The contextual data, the relational data, and the marketing data make up the workflow context. The workflow context is passed to a recommendation engine which evaluates the workflow context and selects one or more of a set of outcomes, the outcome(s) are directly related to the workflow context; and presenting said one or more selected outcomes to said user.

主权项

1. A method for a fully integrated information technology (“IT”) recommendation system, the method comprising the following steps:
receiving contextual data, said contextual data comprising information regarding what a user is currently viewing; receiving relational data, said relational data comprising information regarding said user's previous interaction with an online community, said online community related to IT administrators; receiving market view data, said market view data comprising industry trend information related to IT, said industry particular to said user's industry, wherein said contextual data, said relational data, and said marketing data is a workflow context; providing said workflow context to a recommendation engine, wherein said recommendation engine evaluates said workflow context and selects one or more of a set of outcomes, said outcome(s) directly related to said workflow context; and presenting said one or more selected outcomes to said user.