Content preference with ratings and suggestions system and methods

摘要

A system for determining preference, including a client device with feedback controls, a server and addressable URIs; the device and server in communication over an electronic network and the URIs' content retrievable over the network; the server automatically receiving and storing ratings, tracking URIs, using ratings to create a preference model for URIs, and using the preference model to suggest URIs; the stored ratings include a record having a rated item URI, a rater having a unique identification, a rating value provided by the rater, and at least one metadatum for creating subsets of ratings. Also, a method for automatically creating a chimeric preference vector, the method steps including identifying a multiplicity of datasets of rated items; automatically combining the datasets to form a combined dataset; automatically identifying ratings collisions; treating ratings collisions to form a data subset; and generating a chimeric preference vector based on the data subset.

主权项

1. A system for determining preference, the system comprising:
a client device, a server and addressable uniform resource indicators (URIs), the client device and server in communication over an electronic network and a URI content retrievable over the network; the client device having selectable feedback controls for obtaining feedback ratings and moods from a user while viewing content in order to provide context specific suggestions; wherein the feedback controls are dynamically assigned and adjusted by the server based on criteria available to the server; wherein the ratings are user-specified and dependent upon the URI content; wherein the moods are user-specified rater states independent of the URI content; and wherein the moods denote a context-specific preference; the server automatically receiving and storing the moods and the ratings, tracking the URIs, using the ratings to create a preference model for suggesting additional URIs; wherein the stored ratings include at least one record with a rated item URI, a rater having a unique identification, at least one rating value provided by the rater, and at least one metadatum including the moods for creating subsets of the ratings based on the moods; and wherein all ratings are available to the preference model.