Behavior-based item review system

Patent metadata

Field	Value
Publication number	US-9607325-B1
Application number	US-201213550406-A
Country	US
Kind code	B1
Filing date	Jul 16, 2012
Priority date	Jul 16, 2012
Publication date	Mar 28, 2017
Grant date	Mar 28, 2017

Abstract

Systems and associated processes for generating user attribute interest data and using that data to present and/or develop reviews of items are described herein. These systems and processes can dynamically collect data on a user's interest in specific item attributes from the user's interaction with an electronic catalog and can store this data in association with the user. This data may be used to provide users with a personalized set of reviews which will provide the user with information relevant to interesting item attributes. Further, this data may be used to display a set of dynamically generated statements and/or questions that prompt users to write an item review on specific item attributes. Accordingly, user attribute interest data can potentially both present and elicit more thorough and useful feedback than existing review systems in some embodiments.

First claim

What is claimed is:

1. A method of obtaining behavior-based review feedback, the method comprising:
programmatically identifying an interest of a first user in an attribute associated with a plurality of items represented in an electronic catalog by analyzing behavior of the first user with respect to the electronic catalog;
outputting a review creation user interface that provides functionality for the first user to create a review of a selected one of the items, wherein the review creation user interface prompts the first user to provide feedback about the attribute;
storing a response input by the user as a review in association with the selected item in physical computer storage;
receiving a request from a second user to view information about the selected item;
determining whether the second user is interested in the attribute based at least partly on:
identifying explicit attribute interest cues from behavioral data associated with the second user, the behavioral data representing behavior of the second user with respect to the electronic catalog and the explicit attribute interest cues comprising detected user behavior with respect to the review created by the first user, the detected user behavior indicative of the second user manifesting interest in the attribute,
building a map of the attribute interests of the second user based at least partly on analyzing the explicit attribute interest cues and based at least partly on adjusting data representing the attribute interests based on one or more of item category, time, and ranking of the attribute interests, and
determining whether the map of the attribute interests includes the attribute;

in response to determining that the second user is interested in the attribute, selecting a set of reviews including the review of the first user for output to the second user in a review presentation user interface, wherein the set of reviews is sorted based at least partly on the attribute so that the review of the first user that mentions the attribute is presented before other reviews that do not mention the attribute;
determining that at least two reviews of the set of reviews indicate a quality of performance of the selected item with respect to the attribute; and
outputting an indication to the user that at least two users agree regarding the quality of the performance of the selected item with respect to the attribute;
wherein at least said selecting the set of reviews to output for presentation to the second user is implemented by a computer system comprising computer hardware.

2. The method of claim 1 , wherein said programmatically identifying the interest of the first user in the attribute further comprises identifying an action of the first user that explicitly indicates an interest in the attribute.

3. The method of claim 1 , wherein said programmatically identifying the interest of the first user in the attribute further comprises identifying an action of the first user that implicitly indicates an interest in the attribute.

4. The method of claim 1 , wherein outputting an indication to the user that the at least two users agree regarding the quality of the performance of the selected item with respect to the attribute comprises:
selecting a quote from one of the at least two reviews relating to the performance of the selected item with respect to the attribute; and
outputting the quote with a number indicating that the at least two users agree.

5. The method of claim 1 , wherein determining that at least two reviews of the set of reviews indicate a quality of performance of that the selected item performs well with respect to the attribute comprises:
identifying that the at least two reviews mention the attribute; and
identifying that the at least two reviews specify the same quality of performance with respect to the attribute.

6. Non-transitory physical computer storage comprising instructions stored thereon that, when executed by one or more processors, are configured to implement a system for providing behavior-based review feedback, the system comprising:
an attribute identifier configured to at least:
track interactions of a user with respect to an electronic catalog of items,
identify explicit attribute interest cues from the tracked interactions by at least analyzing a selection by the user of a subset of the items, the explicit attribute interest cues comprising detected user behavior with respect to a first review created by another user, the first review mentioning an attribute, the detected user behavior indicative of the user manifesting interest in the attribute, and
identify, based on the explicit attribute interest cues, the interest of the user in the attribute, the attribute associated with the subset of the items in the electronic catalog; and

a review presentation component configured to at least:
receive a request from the user to view information about a selected one of the items in the electronic catalog,
identify whether the selected item is associated with the attribute identified as being an interest of the user,
in response to an identification that the selected item is associated with the attribute, identify a second review that is associated with the selected item and that relates to the attribute;
output a representation of the second review, in a set of reviews relating to the item, for presentation to the user, the set of reviews sorted based at least partly on the attribute so that the second review is presented before other reviews that do not mention the attribute;
determine that at least two reviews of the set of reviews indicate a quality of performance of the selected item with respect to the attribute; and
output an indication to the user that at least two users agree regarding the quality of the performance of the selected item with respect to the attribute.

7. The non-transitory physical computer storage of claim 6 , wherein the review presentation component is further configured to output the second review for presentation to the user together with an indication that the review is about the attribute.

8. The non-transitory physical computer storage of claim 6 , wherein the review presentation component is further configured to determine whether the item to be reviewed by the user is one of the subset of items that possesses the attribute by at least accessing metadata associated with the item to be reviewed.

9. The non-transitory physical computer storage of claim 8 , wherein the metadata indicates a degree to which the item to be reviewed possesses the attribute.

10. The non-transitory physical computer storage of claim 6 , wherein the review presentation component is further configured to output the representation of the set of reviews for presentation to the user by outputting the set of reviews for presentation to the user.

11. The non-transitory physical computer storage of claim 10 , wherein the review presentation component is further configured to perform one or more of the following: highlight a portion of the set of reviews that relates to the attribute, or output text together with the set of reviews that indicates that the set of reviews address the attribute.

12. The non-transitory physical computer storage of claim 6 , wherein the review presentation component is further configured to output the representation of the set of reviews for presentation to the user by outputting a summary of the set of reviews for presentation to the user.

13. The non-transitory physical computer storage of claim 12 , wherein the summary of the set of reviews comprises an indication of a number of reviewers who reviewed the attribute.

Assignees

• Sriram Siddharth
• Amazon Tech Inc

Inventors

• Sriram Siddharth

Classifications

• G06F16/9535

  Search customisation based on user profiles and personalisation · CPC title

• G06Q30/0282 Primary

  Rating or review of business operators or products · CPC title

• G06Q30/0641

  utilising user interfaces specially adapted for shopping · CPC title

• G06Q30/0631

  Recommending goods or services · CPC title

• G06Q30/0601

  Electronic shopping [e-shopping] · CPC title