Patent Document ID: 8615524
Application ID: 13359288

Base Claim:
1. A computer implemented method of recommending products and services executed by one or more computer processors, comprising the digital processing steps of: providing an item recommendation for a subject user profile, where each item has a respective set of associated keywords, the item recommendation being provided by: processing the subject user profile to extract an initial set of keywords; comparing the initial set of extracted user profile keywords with co-occurring keywords identified in a stored data expansion model that is configured to provide the measured degree to which at least two keywords tend to occur together in a multitude of user profiles; expanding the initial set of extracted user profile keywords with additional related keywords, where the additional related keywords are determined using one or more of the identified co-occurring keywords from the expansion model that frequently appear together with the extracted user profile keywords in at least a portion of the multitude of user profiles, the expansion model being a vector space model; and determining an item recommendation by relating respective sets of item keywords with the expanded set of keywords and the initial set of extracted user profile keywords.

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Claim 9:
9. The computer implemented method as in claim 1 wherein the search for recommendations for the subject user profile is configured to eliminate null results by comparing the set of extracted user profile with co-occurring keywords identified in a stored data expansion model that is configured to provide the measured degree to which at least two keywords tend to occur together in a multitude of user profiles.