SYSTEM AND METHOD FOR CAUSING DOWNLOADS OF APPLICATIONS BASED ON USER INTENTS

• US 20170098004A1
• Filed: 12/19/2016
• Published: 04/06/2017
• Est. Priority Date: 06/11/2010
• Status: Active Application

• Current Assignee: DoAT Media Ltd.
• Original Assignee: DoAT Media Ltd.
• Inventors: KARIV, Adam, SIMHON, Joey Joseph, TAICHMAN, Amir
• Granted Patent: US 10,261,973 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/3344 using natural language analysis
• CPC Class Codes: G06F 16/34 Browsing; Visualisation therefor
• 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 16/972 Access to data in other repository systems, e.g. legacy data or dynamic Web page generation
• CPC Class Codes: G06F 3/04817 using icons graphical or visual programming using iconic symbols G06F8/34
• CPC Class Codes: G06F 3/04842 Selection of displayed objects or displayed text elements G06F3/0482 takes precedence
• CPC Class Codes: H04L 67/06 specially adapted for file transfer, e.g. file transfer protocol [FTP]

Abstract

A method and system for causing downloads of applications based on user intents. The method includes determining, based on an input search query, a search intent; selecting, based on the determined search intent, at least one application from at least one applications central repository; causing, via a user device, creation of a dynamic display segment, wherein the dynamic display segment includes at least one icon corresponding to the selected at least one application; receiving, from the user device, at least one input indicating a user-selected application with respect to the at least one displayed icon; causing establishment of a direct communication link between the user device and a source of the user-selected application; and causing initiation of a download of the user-selected application on the user device over the direct communication link.

Claims

1. A method for causing downloads of applications based on user intent, comprising:

determining, based on an input search query, a search intent;

selecting, based on the determined search intent, at least one application from at least one applications central repository;

causing, via a user device, creation of a dynamic display segment, wherein the dynamic display segment includes at least one icon corresponding to the selected at least one application;

receiving, from the user device, at least one input indicating a user-selected application with respect to the at least one displayed icon;

causing establishment of a direct communication link between the user device and a source of the user-selected application;

an

causing initiation of a download of the user-selected application on the user device over the direct communication link.

2. The method of claim 1, wherein determining the search intent further comprises:

tokenizing the input search query into at least one tokenized query;

sending, to a plurality of engines, the at least one tokenized search query; and

receiving, from each engine, at least one topic of interest mapped to the engine and at least one certainty score, wherein each certainty score indicates a probability that a tokenized query of the at least one tokenized query is mapped to the at least one topic of interest mapped to the engine, wherein the search intent is determined based further on the received topics of interest and certainty scores.

3. The method of claim 2, wherein each received certainty score is above a predetermined threshold.

4. The method of claim 2, wherein determining the search intent of the user further comprises:

statistically analyzing the received topics of interest and certainty scores, wherein the statistical analysis includes determining a co-occurrence of the at least one tokenized query within the at least one topic of interest of each engine, wherein the search intent of the user is determined further based on the determined co-occurrences.

5. The method of claim 2, wherein determining the search intent of the user further comprises:

semantically analyzing the at least one tokenized query, wherein the semantic analysis includes determining a combination of the at least one tokenized query that describes a coherent query.

6. The method of claim 2, wherein tokenizing the search query into at least one tokenized query further comprises:

filtering, based on a list of unnecessary tokens, at least one unnecessary token from the search query.

7. The method of claim 1, wherein determining the search intent further comprises:

receiving at least one environmental variable and at least one personal variable;

analyzing each of the at least one personal variable and the at least one environmental variable to determine a context;

correlating each of the received at least one personal variable and at least one environmental variable based on their respective contexts; and

deriving, based on the correlation, at least a category of interest, wherein the search intent is determined based further on the category of interest.

8. The method of claim 1, wherein the determined search intent represents at least one of:

an application category, and an application name.

9. The method of claim 1, further comprising:

receiving, from the user device, the input search query and information related to applications supported by the user device, wherein the at least one application is selected based further on the information related to applications supported by the user device.

10. A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to perform a process, the process comprising:

determining, based on an input search query, a search intent;

selecting, based on the determined search intent, at least one application from at least one applications central repository;

causing, via a user device, creation of a dynamic display segment, wherein the dynamic display segment includes at least one icon corresponding to the selected at least one application;

receiving, from the user device, at least one input indicating a user-selected application with respect to the at least one displayed icon;

causing establishment of a direct communication link between the user device and a source of the user-selected application; and

causing initiation of a download of the user-selected application on the user device over the direct communication link.

11. A system for causing downloads of applications based on user intent, comprising:

a processing circuitry; and

a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to;

determine, based on an input search query, a search intent;

select, based on the determined search intent, at least one application from at least one applications central repository;

cause, via a user device, creation of a dynamic display segment, wherein the dynamic display segment includes at least one icon corresponding to the selected at least one application;

receive, from the user device, at least one input indicating a user-selected application with respect to the at least one displayed icon;

cause establishment of a direct communication link between the user device and a source of the user-selected application; and

cause initiation of a download of the user-selected application on the user device over the direct communication link.

12. The system of claim 11, wherein the system is further configured to:

tokenize the input search query into at least one tokenized query;

send, to a plurality of engines, the at least one tokenized search query; and

receive, from each engine, at least one topic of interest mapped to the engine and at least one certainty score, wherein each certainty score indicates a probability that a tokenized query of the at least one tokenized query is mapped to the at least one topic of interest mapped to the engine, wherein the search intent is determined based further on the received topics of interest and certainty scores.

13. The system of claim 12, wherein each received certainty score is above a predetermined threshold.

14. The system of claim 12, wherein the system is further configured to:

statistically analyze the received topics of interest and certainty scores, wherein the statistical analysis includes determining a co-occurrence of the at least one tokenized query within the at least one topic of interest of each engine, wherein the search intent of the user is determined further based on the determined co-occurrences.

15. The system of claim 12, wherein the system is further configured to:

semantically analyze the at least one tokenized query, wherein the semantic analysis includes determining a combination of the at least one tokenized query that describes a coherent query.

16. The system of claim 12, wherein the system is further configured to:

filter, based on a list of unnecessary tokens, at least one unnecessary token from the search query.

17. The system of claim 11, wherein the system is further configured to:

receive at least one environmental variable and at least one personal variable;

analyze each of the at least one personal variable and the at least one environmental variable to determine a context;

correlate each of the received at least one personal variable and at least one environmental variable based on their respective contexts; and

derive, based on the correlation, at least a category of interest, wherein the search intent is determined based further on the category of interest.

18. The system of claim 11, wherein the determined search intent represents at least one of:

an application category, and an application name.

19. The system of claim 11, wherein the system is further configured to:

receive, from the user device, the input search query and information related to applications supported by the user device, wherein the at least one application is selected based further on the information related to applications supported by the user device.