Sentiment Extraction from Consumer Reviews for Providing Product Recommendations

• US 20090282019A1
• Filed: 05/12/2008
• Published: 11/12/2009
• Est. Priority Date: 05/12/2008
• Status: Active Grant

• Current Assignee: UpTake Networks, Inc. (Groupon Incorporated)
• Original Assignee: Threeall Inc.
• Inventors: Galitsky, Boris, McKenna, Eugene William
• Granted Patent: US 9,646,078 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/33 Querying
• CPC Class Codes: G06F 16/334 Query execution G06F16/335 takes precedence
• CPC Class Codes: G06F 40/279 Recognition of textual entities
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G06Q 30/0631 Item recommendations

Abstract

A system and method for recommending a product to a user in response to a query for a product with a feature wherein the recommendation is accompanied by a quotation expressing a sentiment about the feature or the product.

Claims

1. A method for recommending a product to a user comprising:

receiving a search query;

determining a feature of the query, wherein a feature comprises a characteristic of the product;

determining the product corresponding to the feature wherein determining the product corresponding to the feature comprises;

building a syntactic template from the query, and;

searching a recommendation database with the syntactic template;

retrieving the product and a quotation relevant to the product and the feature wherein the quotation comprises expression of a sentiment about the feature or the product, and;

outputting the product and the quotation to the user.

2. The method of claim 1 wherein determining a feature of the query comprises applying a semantic template to the query.

3. The method of claim 2 wherein the semantic template is applied to the query by a span query.

4. The method of claim 1 wherein searching a recommendation database with the syntactic template comprises building a span query from the syntactic template.

5. A method for recommending a product to a user comprising:

receiving a search query;

determining a feature of the query wherein a feature comprises a characteristic of a product;

determining a product corresponding to the feature;

retrieving the product and a quotation relevant to the product and the feature wherein the quotation comprises expression of a sentiment about the feature or the product, and;

outputting the product and the quotation to the user.

6. A method for extracting quotations from a document, the quotations comprising a topic and a sentiment about the topic, comprising:

receiving a document;

building a span query relevant to the topic and sentiment;

applying the span query to the document; and

storing the result of the span query wherein the result comprises a quotation comprising a topic and a sentiment about the topic.

7. The method of claim 6 wherein building a span query comprises:

building syntactic template from a lexicography relevant to the topic and sentiment; and

determining a first semantic template relevant to the syntactic template.

8. The method of claim 6 further comprising apply a heuristic model in addition to the span query to the document.

9. The method of claim 7 wherein determining a first semantic template comprises resolving a conflict between a second and a third semantic template.

10. The method of claim 7 wherein resolving a conflict comprises applying defeasible logic programming.

11. The method of claim 6 wherein the document is web page.

12. A computer program product, comprising:

a computer usable medium having computer readable program code embodied therein to recommend a product to a user, the computer readable program code in the computer program product comprising;

computer readable program code to receive a search query;

computer readable program code to determine a feature of the query, wherein a feature comprises a characteristic of the product;

computer readable program code to determine the product corresponding to the feature wherein the computer readable program code to determine the product corresponding to the feature comprises;

computer readable program code to build a syntactic template from the query, and;

computer readable program code to search a recommendation database with the syntactic template;

computer readable program code to retrieve the product and a quotation relevant to the product and the feature wherein the quotation comprises expression of a sentiment about the feature or the product, and;

computer readable program code to output the product and the quotation to the user.

13. The computer program product of claim 12 wherein the computer readable program code to determine a feature of the query comprises computer readable program code to apply a semantic template to the query.

14. The computer program product of claim 13 wherein the computer readable program code to apply a semantic template comprises computer readable program code to apply the semantic template to the query with a span query.

15. The computer program product of claim 12 wherein the computer readable program code to search a recommendation database with the syntactic template comprises computer readable program code to build a span query from the syntactic template.

16. A computer program product comprising:

a computer usable medium having computer readable program code embodied therein to recommend a product to a user, the computer readable program code in the computer program product comprising;

computer readable program code to receive a search query;

computer readable program code to determine a feature of the query wherein a feature comprises a characteristic of a product;

computer readable program code to determine a product corresponding to the feature;

computer readable program code to retrieve the product and a quotation relevant to the product and the feature wherein the quotation comprises expression of a sentiment about the feature or the product, and;

computer readable program code to output the product and the quotation to the user.

17. A computer program product comprising:

a computer usable medium having computer readable program code embodied therein to extract quotations from a document, the quotations comprising a topic and a sentiment about the topic, the computer readable program code in the computer program product including;

computer readable program code to receive a document;

computer readable program code to build a span query relevant to the topic and sentiment;

computer readable program code to apply the span query to the document; and

computer readable program code to store the result of the span query wherein the result comprises a quotation comprising a topic and a sentiment about the topic.

18. The computer program product of claim 17 wherein the computer readable program code to build a span query comprises:

computer readable program code to build syntactic template from a lexicography relevant to the topic and sentiment; and

computer readable program code to determine a first semantic template relevant to the syntactic template.

19. The computer program product of claim 17 wherein the computer readable program code further comprises computer readable program code to apply a heuristic model to the document.

20. The computer program product of claim 18 wherein the computer readable program code to determine a first semantic template comprises computer readable program code to resolve a conflict between a second and a third semantic template.

21. The computer program product of claim 18 wherein the computer readable program code to resolve a conflict comprises computer readable program code to apply defeasible logic programming.