Selecting high quality reviews for display

• US 20070078670A1
• Filed: 09/30/2005
• Published: 04/05/2007
• Est. Priority Date: 09/30/2005
• Status: Abandoned Application

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google LLC (Alphabet Inc.)
• Inventors: Dave, Kushal, Hylton, Jeremy
• Application Number:
  US11/241,701
• Publication Number:
  US 20070078670A1
• Time in Patent Office: Days
• US Class Current: 705/7
• CPC Class Codes: G06F 40/253 Grammatical analysis; Style critique
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products
• CPC Class Codes: G06Q 99/00 Subject matter not provided for in other groups of this subclass

Abstract

A method and system of selecting reviews for display are described. Reviews for a subject are identified. A subset of the identified reviews is selected based on predefined quality criteria. The selection may also be based on zero or more other predefined criteria. A response that includes content from the selected reviews is generated. The content may include the full content or snippets of at least some of the selected reviews.

Claims

1. A method of processing reviews, comprising:

identifying a plurality of reviews;

selecting a subset of the plurality of reviews based on at least predefined quality criteria; and

generating a response including content from the selected subset.

2. The method of claim 1, wherein selecting comprises selecting a subset of the plurality of reviews based on at least the predefined quality criteria and predefined age criteria.

3. The method of claim 1, wherein selecting comprises selecting a subset of the plurality of reviews based on at least the predefined quality criteria and predefined content criteria.

4. The method of claim 1, wherein selecting comprises selecting a subset of the plurality of reviews based on at least the predefined quality criteria and predefined rating score criteria.

5. The method of claim 1, wherein selecting comprises:

determining a quality score for each of the plurality of reviews based on at least one of the group consisting of;

a length of the respective review, lengths of sentences in the respective review, values associated with one or more words in the respective review, and grammatical quality of the respective review; and

selecting a subset of the plurality of reviews based on at least the respective quality scores.

6. The method of claim 1, wherein generating a response comprises generating snippets of a plurality of reviews in the selected subset.

7. The method of claim 6, wherein generating a snippet of a review comprises:

partitioning the review into one or more partitions;

selecting a subset of the partitions based on predefined criteria; and

generating the snippet including content from the selected subset of the partitions.

8. A system for processing reviews, comprising:

one or more modules including instructions;

to identify a plurality of reviews;

to select a subset of the plurality of reviews based on at least predefined quality criteria; and

to generate a response including content from the selected subset.

9. The system of claim 8, wherein the one or more modules include instructions to select a subset of the plurality of reviews based on at least the predefined quality criteria and predefined age criteria.

10. The system of claim 8, wherein the one or more modules include instructions to select a subset of the plurality of reviews based on at least the predefined quality criteria and predefined content criteria.

11. The system of claim 8, wherein the one or more modules include instructions to select a subset of the plurality of reviews based on at least the predefined quality criteria and predefined rating score criteria.

12. The system of claim 8, wherein the one or more modules include instructions:

to determine a quality score for each of the plurality of reviews based on at least one of the group consisting of;

a length of the respective review, lengths of sentences in the respective review, values associated with one or more words in the respective review, and grammatical quality of the respective review; and

to select a subset of the plurality of reviews based on at least the respective quality scores.

13. The system of claim 8, wherein the one or more modules include instructions to generate snippets of a plurality of reviews in the selected subset.

14. The system of claim 13, wherein the one or more modules include instructions:

to partition the review into one or more partitions;

to select a subset of the partitions based on predefined criteria; and

to generate the snippet including content from the selected subset of the partitions.

15. A computer program product for use in conjunction with a computer system, the computer program product comprising a computer readable storage medium and a computer program mechanism embedded therein, the computer program mechanism comprising instructions for:

identifying a plurality of reviews;

selecting a subset of the plurality of reviews based on at least predefined quality criteria; and

generating a response including content from the selected subset.

16. The computer program product of claim 15, wherein the instructions for selecting comprise instructions for:

determining a quality score for each of the plurality of reviews based on at least one of the group consisting of;

a length of the respective review, lengths of sentences in the respective review, values associated with one or more words in the respective review, and grammatical quality of the respective review; and

selecting a subset of the plurality of reviews based on at least the respective quality scores.

17. The computer program product of claim 15, wherein the instructions for generating a response comprise instructions for generating snippets of a plurality of reviews in the selected subset.

18. The computer program product of claim 17, wherein the instructions for generating a snippet of a review comprise instructions for:

partitioning the review into one or more partitions;

selecting a subset of the partitions based on predefined criteria; and

generating the snippet including content from the selected subset of the partitions.

19. A system for processing reviews, comprising:

means for identifying a plurality of reviews;

means for selecting a subset of the plurality of reviews based on at least predefined quality criteria; and

means for generating a response including content from the selected subset.