Selecting High Quality Reviews for Display

• US 20110125736A1
• Filed: 01/26/2011
• Published: 05/26/2011
• Est. Priority Date: 09/30/2005
• Status: Abandoned Application

• Current Assignee: Jeremy A. Hylton, Kushal B. Dave
• Original Assignee: Jeremy A. Hylton, Kushal B. Dave
• Inventors: Hylton, Jeremy A., Dave, Kushal B.
• Application Number:
  US13/014,671
• Publication Number:
  US 20110125736A1
• Time in Patent Office: Days
• US Class Current: 707/723
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products

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:

on a server system, including one or more processors, memory storing one or more programs, executed by the one or more processors to perform the method, the server system responding to a search request from a client by;

identifying, in accordance with the search request from the client, a set of reviews from one or more review sources, the set of reviews comprising a plurality of reviews of one or more entities matching the search request;

generating quality scores for respective reviews of the plurality of reviews, the quality score of a respective review based on at least one of the group consisting of;

a length of the respective review, lengths of sentences in the respective review, and grammatical quality of the respective review;

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

generating and sending to the client a response to the search request for display at the client, the 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 at least on the respective quality scores, 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 at least on the respective quality scores, 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 at least on the respective quality scores, the predefined quality criteria, and predefined rating score criteria.

5. The method of claim 1, wherein generating quality scores comprises:

generating quality scores for respective reviews of the plurality of reviews, the quality score of a respective review based on values associated with one or more words in the respective review, and at least one of the group consisting of;

a length of the respective review, lengths of sentences in the respective review, and grammatical quality of the respective review.

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 processors;

memory storing one or more programs, executed by the one or more processors, to respond to a search request from a client;

one or more modules including instructions;

to identify, in accordance with the search request from the client, a set of reviews from one or more review sources, the set of reviews comprising a plurality of reviews of one or more entities matching the search request;

to generate quality scores for respective reviews of the plurality of reviews, the quality score of a respective review based on at least one of the group consisting of;

a length of the respective review, lengths of sentences in the respective review, and grammatical quality of the respective review;

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

to generate and send to the client a response to the search request for display at the client, the 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 at least on the respective quality scores, 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 at least on the respective quality scores, 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 at least on the respective quality scores, the predefined quality criteria, and predefined rating score criteria.

12. The system of claim 8, wherein the instructions to generate quality scores include instructions:

to generate quality scores for respective reviews of the plurality of reviews, the quality score of a respective review based on values associated with one or more words in the respective review, and at least one of the group consisting of;

a length of the respective review, lengths of sentences in the respective review, and grammatical quality of the respective review.

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 non-transitory computer readable storage medium storing one or more computer programs for execution by a server system to respond to a search request from a client, the one or more computer programs comprising instructions for:

identifying, in accordance with the search request from the client, a set of reviews from one or more review sources, the set of reviews comprising a plurality of reviews of one or more entities matching the search request;

generating quality scores for respective reviews of the plurality of reviews, the quality score of a respective review based on at least one of the group consisting of;

a length of the respective review, lengths of sentences in the respective review, and grammatical quality of the respective review;

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

generating and sending to the client a response to the search request for display at the client, the response including content from the selected subset.

16. The computer readable storage medium of claim 15, wherein the instructions for generating quality scores comprise instructions for:

generating quality scores for respective reviews of the plurality of reviews, the quality score of a respective review based on values associated with one or more words in the respective review, and at least one of the group consisting of;

a length of the respective review, lengths of sentences in the respective review, and grammatical quality of the respective review.

17. The computer readable storage medium 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 readable storage medium 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 method of processing reviews, comprising:

on a server system, including one or more processors, memory storing one or more programs, executed by the one or more processors to perform the method, the server system responding to a search request from a client by;

identifying, in accordance with the search request from the client, a set of reviews from one or more review sources, the set of reviews comprising a plurality of reviews of one or more entities matching the search request;

generating quality scores for respective reviews of the plurality of reviews;

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

generating and sending to the client a response to the search request for display at the client, the response including content from the selected subset.