Method of and system for processing a user request for a web resource, the web resource being associated with sequentially semantically linked documents

• US 9,681,173 B2
• Filed: 10/02/2015
• Issued: 06/13/2017
• Est. Priority Date: 12/03/2014
• Status: Active Grant

• Current Assignee: Direct Cursus Technology LLC
• Original Assignee: Yandex Europe AG (Yandex N.V.)
• Inventors: Sapunova, Nina Viktorovna, Eroshin, Evgeny Valeryevich, Rubtcova, Ekaterina Vladimirovna, Voznin, Maksim Pavlovich, Matveev, Grigory Aleksandrovich, Smetanin, Nikita Alekseevich
• Primary Examiner(s): Flynn, Nathan
• Assistant Examiner(s): Castro, Alfonso
• Application Number:
  US14/873,750
• Publication Number:
  US 20160165298A1
• Time in Patent Office: 620 Days
• Field of Search: 725 14
• CPC Class Codes: H04N 21/251 Learning process for intelligent management, e.g. learning user preferences for recommending movies details of learning user preferences for the retrieval of video data in a video database G06F16/739; computer systems using learning methods G06N3/08
• CPC Class Codes: H04N 21/4312 involving specific graphical features, e.g. screen layout, special fonts or colors, blinking icons, highlights or animations
• CPC Class Codes: H04N 21/44204 Monitoring of content usage, e.g. the number of times a movie has been viewed, copied or the amount which has been watched monitoring of user activities for profile generation for accessing a video database G06F16/739; protecting generic digital content where the protection is independent of the precise nature of the content G06F21/10; arrangements for monitoring the use made of the broadcast services in broadcast systems H04H60/31
• CPC Class Codes: H04N 21/44224 Monitoring of user activity on external systems, e.g. Internet browsing
• CPC Class Codes: H04N 21/4782 Web browsing , e.g. WebTV
• CPC Class Codes: H04N 21/482 End-user interface for program selection broadcast systems using EPGs H04H60/72
• CPC Class Codes: H04N 21/4826 using recommendation lists, e.g. of programs or channels sorted out according to their score
• CPC Class Codes: H04N 21/6125 involving transmission via Internet transmission by internet of broadcast information H04H60/82
• CPC Class Codes: H04N 21/6582 Data stored in the client, e.g. viewing habits, hardware capabilities, credit card number arrangements where receivers interact with the broadcast H04H20/38
• CPC Class Codes: H04N 21/84 Generation or processing of descriptive data, e.g. content descriptors systems specially adapted for using meta-information in broadcast systems H04H60/73

Abstract

There are discloses a method of and a server for processing a user request for a web resource, the user request received at a server from an electronic device via a communication network. The method can be executed at the server. The method comprises: determining that the web resource comprises a plurality of sequentially semantically linked documents that are potentially responsive to the user request; determining a particular document of the plurality of sequentially semantically linked documents, the particular document being one that the user has completed using, the determination that the user has completed using the particular document being executed by means of: determining that the user has reached an end of the particular document; and if the user has not reached the end of the particular document, determining that the user has reached a pre-determined usage threshold within the particular document; generating a suggest to be displayed to the user on the electronic device, the suggest including a sequentially next document after the particular document.

Claims

1. A method of processing a user request for a web resource by a server, the method being executed at the server, the method comprising:

receiving, at the server, the user request from an electronic device via a communication network;

retrieving the web resource responsive to the user request;

determining that the web resource comprises a plurality of sequentially semantically linked documents that are potentially responsive to the user request;

determining a particular document of the plurality of sequentially semantically linked documents, the particular document being one that a user has completed using, the determination that the user has completed using the particular document being executed by means of;

determining that the user has reached an end of the particular document; and

if the user has not reached the end of the particular document, determining that the user has reached a pre-determined usage threshold within the particular document, the predetermined threshold being determined by;

performing a statistical analysis of user viewing patterns,

using a heart beat algorithm to determine a heart beat based on the statistical analysis, and

using the heart beat algorithm to determine the predetermined threshold, based at least in part on the heart beat;

generating a suggestion to be displayed to the user on the electronic device; and

transmitting, to the electronic device via the communication network, the suggestion and a trigger, the trigger for causing the electronic device to display the suggestion to the user, the suggestion including transmitting a sequentially next document after the particular document,

wherein the determining that the web resource comprises the plurality of sequentially semantically linked documents comprising;

acquiring information describing the web resource and the plurality of sequentially semantically linked documents, the information comprising;

a hash value representing a title,

a number of seasons,

number of episodes in each of the seasons, and

a score associated with each of the documents.

2. The method of claim 1, the suggestion being a first suggestion of a list of suggestions and wherein if the particular document has not been determined to have been completed, the method further comprises generating a second suggestion being representative of the particular document, the second suggestion being ranked above the first suggestion.

3. The method of claim 1, the suggestion being a first suggestion of a list of suggestions, the list of suggestions further including a second suggestion indicative of the particular document that has been determined to have been completed.

4. The method of claim 3, the list of suggestions further including a third suggestion, the third suggestion being a second next consequential document after the sequentially next document after the particular document.

5. The method of claim 1, further comprising acquiring the pre-determined usage threshold specifically selected for a type associated with the document.

6. The method of claim 1, further comprising prior to receiving the user request, determining the heart beat.

7. The method of claim 6, wherein the step of determining the heart beat comprises:

collecting statistical information of the users completing using documents of a type as the plurality of sequentially semantically linked documents;

determining one or more time intervals of the users using the document;

for each time interval, assigning a probability parameter that after the time interval, the user is deemed to have completed the document; and

calculating, for each time interval, an associated heart beat parameter taking into account the associated probability parameter.

8. The method of claim 7, wherein the heart beat is personalized for the user and wherein the step of determining the heart beat is executed on statistical information associated with the user.

9. The method of claim 7, wherein the statistical information is collected off-line.

10. The method of claim 7, wherein each time interval is determined by executing the steps of:

appreciating a user triggering execution of a particular document;

issuing, on a periodic basis, a query to an application executing the particular document, the query requesting the application to confirm is the user is still using the particular document; and

responsive to the application not confirming that the user is still using the particular document, transmitting to the server an indication of the time interval in association with a user ID.

11. The method of claim 1, wherein the score associated with each of the documents is based on a clickability parameter for each of the documents.

12. The method of claim 1, wherein the plurality of sequentially semantically linked documents comprises sequential episodes of a series video content.

13. A server comprising:

a communication interface for communication with an electronic device via a communication network;

a memory storage;

a processor operationally connected with the communication interface and the memory storage, the processor being configured to;

receive, via the communication interface, a user request for a web resource;

determine that the web resource comprises a plurality of sequentially semantically linked documents that are potentially responsive to the user request;

determine a particular document of the plurality of sequentially semantically linked documents, the particular document being one that the user has completed using, the determination that the user has completed using the particular document being executed by means of;

determining that the user has reached an end of the particular document; and

if the user has not reached the end of the particular document, determining that the user has reached a pre-determined usage threshold within the particular document, the predetermined threshold being determined by;

performing a statistical analysis of user viewing patterns,

using a heart beat algorithm to determine a heart beat based on the statistical analysis, and

using the heart beat algorithm to determine the predetermined threshold, based at least in part on the heart beat; and

generate a suggestion to be displayed to the user on the electronic device; and

transmit, to the electronic device via the communication interface, the suggestion and a trigger, the trigger for causing the electronic device to display the suggestion to the user, the suggestion including transmitting a sequentially next document after the particular document,

wherein to determine that the web resource comprises the plurality of sequentially semantically linked documents, the processor is configured to;

acquire information describing the web resource and the plurality of sequentially semantically linked documents, the information comprising;

a hash value representing a title,

a number of seasons,

number of episodes in each of the seasons, and

a score associated with each of the documents.

14. The server of claim 13, the suggestion being a first suggestion of a list of suggestions and wherein if the particular document has not been determined to have been completed, the processor being further configured to generate a second suggestion being representative of the particular document, the second suggestion being ranked above the first suggestion.

15. The server of claim 13, the suggestion being a first suggestion of a list of suggestions, the list of suggestions further including a second suggestion indicative of the particular document that has been determined to have been completed.

16. The server of claim 15, the list of suggestions further including a third suggestion, the third suggestion being a second next consequential document after the sequentially next document after the particular document.

17. The server of claim 13, the processor being further operable to acquire the pre-determined usage threshold specifically selected for a type associated with the document.

18. The server of claim 13, the processor being further operable, prior to receiving the user request, to determine the heart beat.

19. The server of claim 18, wherein to determine the heart beat, the processor is configured to:

collect statistical information of the users completing using documents of a type as the plurality of sequentially semantically linked documents;

determine one or more time intervals of the users using the document;

for each time interval, assign a probability parameter that after the time interval, the user is deemed to have completed the document; and

calculate, for each time interval, an associated heart beat parameter taking into account the associated probability parameter.

20. The server of claim 19, wherein the heart beat is personalized for the user and wherein to determine the heart beat, the processor determines the heart beat based on statistical information associated with the user.

21. The server of claim 19, wherein the statistical information is collected off-line.

22. The server of claim 19, wherein the processor is configured to determine each time interval by executing the steps of:

appreciating a user triggering execution of a particular document;

issuing, on a periodic basis, a query to an application executing the particular document, the query requesting the application to confirm if the user is still using the particular document; and

responsive to the application not confirming that the user is still using the particular document, transmitting to the server an indication of the time interval in association with a user ID.

23. The server of claim 13, wherein the score associated with each of the documents is based on a clickability parameter for each of the documents.

24. The server of claim 13, wherein the plurality of sequentially semantically linked documents comprises sequential episodes of a series video content.