Method, Device, and System for Analyzing and Ranking Products

• US 20110252031A1
• Filed: 12/17/2010
• Published: 10/13/2011
• Est. Priority Date: 12/31/2009
• Status: Abandoned Application

• Current Assignee: Jemstep, Inc. (Invesco Limited)
• Original Assignee: Jemstep, Inc. (Invesco Limited)
• Inventors: Rennie, Matthew, Blumenthal, Michael
• Application Number:
  US12/971,640
• Publication Number:
  US 20110252031A1
• Time in Patent Office: Days
• US Class Current: 707/733
• CPC Class Codes: G06F 16/24575 using context
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9538 Presentation of query results
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0631 Item recommendations

Abstract

A method, system, and computer program product for locating a relevant product via a computer network includes receiving, at a client terminal, a search topic from a user and one or more attributes associated with the topic and assigning a rating to at least one of the attributes. A server is used to locate, at one or more information locations, at least two separate instances of the topic and at least two information fields, each field related to one of the instances the topic. Content in each of at least two of the information fields is associated with at least one of the attributes and the content in each of the at least two information fields associated with an attribute is compared against each other. A score to the content of each compared instance of content is assigned based on the comparing. The attributes are prioritized and the located instances of the topic are ranked based on the prioritizing and the score of content associated with the topic.

Claims

1. A computer implemented method for ranking a plurality of products, wherein each product is associated with a plurality of product attributes, the method comprising:

specifying a plurality of attribute groups, wherein each attribute group is associated with a plurality of the product attributes;

providing a series of questions associated with each attribute group;

obtaining responses to each series of questions from a user;

applying a set of rules to the responses obtained from the user for each series of questions to generate weightings for the product attributes in the attribute group associated with the respective series of questions;

using a processor to score each of the products for each of the product attributes;

generating a weighted score for each of the product attributes by applying the weighting for the respective product attribute to the score for the respective product attribute for each of the products; and

ranking the products based on the weighted scores.

2. The method according to claim 1, wherein each rule includes a condition based on a respective response from the user and an action to be taken if the condition is met, wherein the actions specified by the rules include adjusting weightings for product attributes in the attribute group associated with the respective question.

3. The method according to claim 2, wherein the actions specified by the rules include adjusting weightings for each of the plurality of attributes in the attribute group associated with a respective question.

4. The method according to claim 2, wherein the actions specified by the rules include generating a filter based on a product attribute in the attribute group associated with the respective question.

5. The method according to claim 1, further comprising providing multiple modes of operation, wherein the series of questions associated with each attribute group and the rules that are applied to the responses to the series of questions vary between the different modes of operation.

6. The method of claim 5, wherein the number of questions associated with an attribute group is smaller in a first mode of operation than in a second mode of operation.

7. The method of claim 5, wherein the rules associated with each question in the attribute group for the first mode of operation result in an adjustment of the weightings for a larger number of product attributes than the rules associated with each question in the attribute group for the second mode of operation.

8. The method according to claim 5, further comprising a mode of operation that permits a user to specify a weighting for each product attribute.

9. The method according to claim 8, wherein the range of adjustments to the weightings for a product attribute or attribute group permitted in a first mode of operation is more limited than the range of adjustments permitted in a second mode of operation.

10. The method according to claim 5, wherein the total weightings for a first attribute group relative to the total weightings for a second attribute group are constrained.

11. The method according to claim 5, wherein the total weightings for a first attribute group relative to the total weightings for a second attribute group are balanced based on defined criteria after initial weightings for product attributes in each attribute group are determined by the rules.

12. The method of claim 11, wherein the balancing comprises adjusting the weightings of the product attributes in the first attribute group on a proportional basis until the total weightings of the first attribute group relative to the second attribute group meet the defined criteria.

13. The method according to claim 10, wherein constraints on the total weightings for an attribute group that are permitted relative to the total weightings for another attribute group vary depending upon the mode of operation.

14. The method according to claim 10, further comprising calculating a total weighting for each attribute group.

15. The method of claim 5, further comprising specifying criteria for the total weighting for each attribute group and, if the total weighting for a respective attribute group does not meet the criteria, adjusting the weightings for the product attributes in the attribute group until the criteria for the attribute group are met.

16. The method of claim 15, wherein the criteria for each attribute group vary depending upon the mode of operation.

17. The method according to claim 5, wherein the mode of operation is selected by the user.

18. The method according to claim 17, wherein the modes of operation include a beginner mode and an advanced mode.

19. The method according to claim 17, wherein the mode of operation may be selected for each attribute group.

20. The method according to claim 5, wherein the level of detail of the questions and correlation of the questions to individual product attributes increases from a first mode of operation to a second mode of operation.