Patent ID: 9727645
Date: 2017-08-08
CPC Classifications: G06F

Claim:
1. A computer-implemented method for scoring documents comprising: obtaining a set of attributes derived from an element of a web page, wherein the element is identified from eye-tracking data of a user viewing the web page, wherein the element of the web page comprises an image portion of the web page, and wherein an attribute comprises an identity of the image portion of the web page; weighting each attribute of the set of attributes based on the eye-tracking data with respect to each attribute and a time-stamp value of the eye-tracking data; receiving a search query of a database, wherein the search query comprises at least one query term, wherein the database comprises an index of web pages; identifying a set of web page documents in the database according to the search query; determining an attribute score for each document based on a relevancy of each web page document to the set of weighted attributes, and wherein determining the attribute score for each document comprises: sorting the search query results according to the attribute score of each web page document; and determining a commonality between the query term and at least one member of the set of attributes.