Insights for web service providers

• US 10,320,633 B1
• Filed: 06/08/2015
• Issued: 06/11/2019
• Est. Priority Date: 11/20/2014
• Status: Active Grant

• Current Assignee: BloomReach, Inc.
• Original Assignee: BloomReach, Inc.
• Inventors: Wong, Wai Hung, Deshpande, Nishant, Muthukrishnan, Pradeep, Chidrewar, Vaibhav Avinash, Luo, Charlie, Bhandari, Rahul, Garg, Ashutosh
• Primary Examiner(s): Hussain, Tauqir
• Assistant Examiner(s): Lin, Jsing Forng
• Application Number:
  US14/733,800
• Time in Patent Office: 1,464 Days
• Field of Search: 709224
• CPC Class Codes: H04L 43/06 Generation of reports
• CPC Class Codes: H04L 43/08 Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
• CPC Class Codes: H04L 43/16 Threshold monitoring
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

Techniques for providing insights for web service providers are disclosed. In some embodiments, a system, process, and/or computer program product for providing insights for web service providers includes monitoring user activities on a web site; generating a dashboard for displaying a summary of the monitored user activities on the web site; and generating a recommendation for improving performance of the web site for display on the dashboard. For example, the recommendation can be for improving performance of search results on the web site and/or for improving content navigation on the web site.

Claims

1. A system for providing insights for web service providers, comprising:

a processor configured to;

monitor user activities on a web site, wherein the user activities include a source entity and a target entity, the source entity relating to user activities before an event, the target entity relating to user activities after the event;

generate a dashboard for displaying a summary of the monitored user activities on the web site, comprising to;

calculate a co-visit association score based on the user activities on the web site, comprising to;

determine the co-visit association score based on a pairwise frequency of the source entity and the target entity, global frequency of the source entity, and global frequency of the target entity;

in response to a determination that the co-visit association score satisfied a co-visit association score threshold, identify a product associated with the user activities on the web site;

generate, based on the identified product, a recommendation for improving performance of the web site for display on the dashboard, wherein the recommendation includes an addition of products to a web page displayed on the web site, a placement of a link on a web page displayed on the web site, a promotion of a product to a web page displayed on the web site, or any combination thereof;

automatically perform at least one of the recommendations for improving performance of the web site; and

display the dashboard via a web site, wherein the dashboard includes a heat map that includes visual indicators based on a plurality of metrics associated with the performance of the web site, and wherein the dashboard further includes data presented in-line with the web site and displayed using visual indicators based on the content on a web page of the web site; and

a memory coupled to the processor and configured to provide the processor with instructions.

2. The system recited in claim 1, wherein the processor is further configured to:

display the dashboard.

3. The system recited in claim 1, wherein the processor is further configured to:

display the dashboard via a web site.

13. The system of claim 1, wherein the recommendation further includes an identification of low performing categories displayed on the web site and an identification of poor performing products displayed on the web site.

4. A method of providing insights for web service providers, comprising:

monitoring user activities on a web site, wherein the user activities include a source entity and a target entity, the source entity relating to user activities before an event, the target entity relating to user activities after the event;

generating a dashboard for displaying a summary of the monitored user activities on the web site, comprising;

calculating a co-visit association score based on the user activities on the web site, comprising;

determining the co-visit association score based on a pairwise frequency of the source entity and the target entity, global frequency of the source entity, and global frequency of the target entity;

in response to a determination that the co-visit association score satisfied a co-visit association score threshold, identify a product associated with the user activities on the web site;

generating, based on the identified product, a recommendation for improving performance of the web site using a processor for display on the dashboard, wherein the recommendation includes an addition of products to a web page displayed on the web site, a placement of a link on a web page displayed on the web site, a promotion of a product to a web page displayed on the web site, or any combination thereof;

automatically performing at least one of the recommendations for improving performance of the web site; and

displaying the dashboard via a web site, wherein the dashboard includes a heat map that includes visual indicators based on a plurality of metrics associated with the performance of the web site, and wherein the dashboard further includes data presented in-line with the web site and displayed using visual indicators based on the content on a web page of the web site.

5. The method of claim 4, further comprising:

displaying the dashboard.

6. The method of claim 4, further comprising:

displaying the dashboard via a web site.

14. The method of claim 4, wherein the recommendation further includes an identification of low performing categories displayed on the web site and an identification of poor performing products displayed on the web site.

7. A computer program product for providing insights for web service providers, the computer program product being embodied in a tangible non-transitory computer readable storage medium and comprising computer instructions for:

monitoring user activities on a web site, wherein the user activities include a source entity and a target entity, the source entity relating to user activities before an event, the target entity relating to user activities after the event;

generating a dashboard for displaying a summary of the monitored user activities on the web site, comprising;

calculating a co-visit association score based on the user activities on the web site, comprising;

determining the co-visit association score based on a pairwise frequency of the source entity and the target entity, global frequency of the source entity, and global frequency of the target entity;

in response to a determination that the co-visit association score satisfied a co-visit association score threshold, identifying a product associated with the user activities on the web site;

generating, based on the identified product, a recommendation for improving performance of the web site for display on the dashboard, wherein the recommendation includes an addition of products to a web page displayed on the web site, a placement of a link on a web page displayed on the web site, a promotion of a product to a web page displayed on the web site, or any combination thereof;

automatically performing at least one of the recommendations for improving performance of the web site; and

displaying the dashboard via a web site, wherein the dashboard includes a heat map that includes visual indicators based on a plurality of metrics associated with the performance of the web site, and wherein the dashboard further includes data presented in-line with the web site and displayed using visual indicators based on the content on a web page of the web site.

8. The computer program product recited in claim 7, further comprising computer instructions for:

displaying the dashboard.

9. The computer program product recited in claim 7, further comprising computer instructions for:

displaying the dashboard via a web site.

15. The computer program product of claim 7, wherein the recommendation further includes an identification of low performing categories displayed on the web site and an identification of poor performing products displayed on the web site.

10. A system for providing insights for web service providers, comprising:

a processor configured to;

monitor user activities on a web site prior to a user event on the web site, wherein the user event includes a search on the web site based on a user query, a view of a category page on the web site, an add to cart of a product on the web site, and/or a view of a product page on the web site;

monitor user activities on the web site before and after the event on the web site, wherein the user activities include a source entity and a target entity, the source entity relating to user activities before the user event, the target entity relating to user activities after the user event;

generate a recommendation for improving performance of the web site based on the monitored user activities prior to the event on the web site and after the event on the web site, comprising to;

calculate a co-visit association score based on the user activities on the web site, comprising to;

determine the co-visit association score based on a pairwise frequency of the source entity and the target entity, global frequency of the source entity, and global frequency of the target entity;

in response to a determination that the co-visit association score satisfied a co-visit association score threshold, generate the recommendation based on a product associated with the user activities on the web site, wherein the recommendation includes an addition of products to a web page displayed on the web site, a placement of a link on a web page displayed on the web site, a promotion of a product to a web page displayed on the web site, or any combination thereof;

automatically perform at least one of the recommendations for improving performance of the web site; and

display a dashboard via a web site, wherein the dashboard includes a heat map that includes visual indicators based on a plurality of metrics associated with the performance of the web site, and wherein the dashboard further includes data presented in-line with the web site and displayed using visual indicators based on the content on a web page of the web site; and

a memory coupled to the processor and configured to provide the processor with instructions.

11. The system recited in claim 10, wherein the processor is further configured to:

determine a user intent based on the monitored user activities prior to the search on the web site and after the search on the web site; and

associate the user intent based on the monitored user activities prior to the search on the web site and after the search on the web site with the user query.

12. The system recited in claim 10, wherein the processor is further configured to:

determine a user intent based on the monitored user activities prior to the search on the web site and after the search on the web site;

associate the user intent based on the monitored user activities prior to the search on the web site and after the search on the web site with the user query; and

determine a search result that is not relevant to the user intent based on the monitored user activities prior to the search on the web site and after the search on the web site.

16. The system of claim 10, wherein the recommendation further includes an identification of low performing categories displayed on the web site and an identification of poor performing products displayed on the web site.