METHOD AND SYSTEM OF SCORING DOCUMENTS BASED ON ATTRIBUTES OBTAINED FROM A DIGITAL DOCUMENT BY EYE-TRACKING DATA ANALYSIS
First 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
sorting the search query results according to the attribute score of each web page document.
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Abstract
In one exemplary embodiment, a set of attributes derived from an element of a first digital document is obtained. The element is identified from eye-tracking data of a user viewing the digital document. A search query of a database comprising at least one query term is received. A set of documents in the database is identified according to the search query. An attribute score is determined for each document. The set of documents are sorted according to the attribute score. Optionally, a commonality between the query term and at least one member of the set of attributes ma be determined. The search query may be generated by the user. The database may be a hypermedia database.
10 Citations
20 Claims
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1. A computer-implemented method for scoring documents comprising:
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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 sorting the search query results according to the attribute score of each web page document. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A non-transitory computer-readable storage medium comprising computer-executable instructions for scoring a set of documents, the computer-executable instructions comprising instructions for:
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obtaining at least one attribute derived from an element of an augmented reality view, wherein the element is identified from eye-tracking data of a user viewing the an augmented reality view, wherein the element of the an augmented reality view comprises an image of a physical object obtained by a digital camera, and wherein an attribute comprises an identity of the an augmented reality view; weighting each attribute of the set of attributes based on the eye-tracking data with respect to each attribute; receiving a search query of a database, wherein the search query comprises at least one query term, and wherein the database comprises an index of documents; identifying a set of documents in the database according to the search query; determining an attribute score for each document based on a relevancy of each document to the set of weighted attributes; and ranking the set of documents according to the attribute score of each document. - View Dependent Claims (16, 17, 18, 19)
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20. A computer system for scoring a set of documents identified by a search query result, the system comprising:
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memory configured to store the score of each document identified by a search query result; and one or more processors configured to; obtain at least one attribute 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 a text portion or an image portion of the web page, and wherein an attribute comprises an identity of the image portion of the web page; weight each attribute of the set of attributes based on the eye-tracking data with respect to each attribute; receive a search query of a database, wherein the search query comprises at least one query term, and wherein the database comprises an index of documents; identify a set of documents in the database according to the search query; determine an attribute score for each document based on a relevancy of each document to the set of weighted attributes; and rank the set of documents according to the attribute score of each document.
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Specification