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EP-4740114-A1 - METHOD AND SYSTEM FOR PROVIDING ONE OR MORE RECOMMENDATIONS TO A USER ON A PLATFORM

EP4740114A1EP 4740114 A1EP4740114 A1EP 4740114A1EP-4740114-A1

Abstract

The present disclosure relates to a method and a system for providing one or more recommendations to a user on a platform The method comprises receiving, by a transceiver unit [202], an activity data related to the platform; creating, by a log creator [204], a set of logs based on the activity data; identifying, by a processing unit [206], a pattern of usage of a set of users based on the set of logs; receiving, by the transceiver unit from a set of user devices, a user feedback based on the pattern of usage; generating, by the processing unit [206], one or more notifications and one or more recommendations based on the pattern of usage and the user feedback; and providing, by a delivering unit [208] on the set of user devices and the platform, the one or more notifications and the one or more recommendations.

Inventors

  • Jha, Shailesh
  • BHATNAGAR, AAYUSH
  • ANAVKAR, Kedar

Assignees

  • Jio Platforms Limited

Dates

Publication Date
20260513
Application Date
20240611

Claims (20)

  1. 1. A method [300] for providing one or more recommendations to a user on a platform, the method [300] comprising: receiving, by a transceiver unit [202], an activity data related to the platform; creating, by a log creator [204], a set of logs based on the activity data; identifying, by a processing unit [206], a pattern of usage of a set of users based on the set of logs; receiving, by the transceiver unit [202] from a set of user devices, a user feedback based on the pattern of usage; generating, by the processing unit [206], at least one of one or more notifications and one or more recommendations based on at least one of the pattern of usage and the user feedback; and providing, by a delivering unit [208] on at least one of the set of user devices and the platform, at least one of the one or more notifications and the one or more recommendations.
  2. 2. The method [300] as claimed in claim 1, wherein the identified pattern of usage of the set of users is one of a daily data consumption pattern parameter associated with a target user in comparison to one or more users from the set of users, a recharge patterns parameter associated with the set of users, a call drop pattern parameter associated with the set of users, a network parameter associated with the set of users, a recharge patterns parameter associated with the set of users, a voice call service usage parameter associated with the set of users.
  3. 3. The method [300] as claimed in claim 1, wherein the one or more recommendations is one of a predefined recommendation associated with the identified pattern of usage of the set of users.
  4. 4. The method [300] as claimed in claim 1, wherein the pattern of usage indicates at least one of: a pattern of one or more activities of the set of users on the platform, and a comparison of the pattern of the one or more activities of the set of users on the platform with a pattern of one or more activities of one or more target users on the platform.
  5. 5. The method [300] as claimed in claim 1, wherein the activity data comprises a data related to the one or more activities of the set of users on the platform for a predefined period of time.
  6. 6. The method [300] as claimed in claim 5, wherein the data related to the one or more activities of the set of users on the platform comprises at least an information related to at least one of a type of the one or more activities and a timestamp of the one or more activities.
  7. 7. The method [300] as claimed in claim 5, wherein the set of logs comprises one or more logs associated with the one or more activities of the set of users on the platform.
  8. 8. The method [300] as claimed in claim 1 , wherein the platform is one of a wireless communication platform and a digital platform.
  9. 9. The method [300] as claimed in claim 1, wherein at least one of the one or more notifications and the one or more recommendations are generated by the processing unit [206] using a first artificial intelligence engine and the pattern of usage is identified by the processing unit [206] using a second artificial intelligence engine.
  10. 10. The method [300] as claimed in claim 9, wherein the one or more notifications and the one or more recommendations are generated using the first artificial intelligence engine based on: receiving, by the first artificial intelligence engine, the pattern of usage of the set of users based on the set of logs; fetching, by the first artificial intelligence engine from a set of user devices, a user feedback based on the pattern of usage; and analyzing, by the first artificial intelligence engine, at least one of the pattern of usage and the user feedback.
  11. 11. The method [300] as claimed in claim 10, wherein the pattern of usage are identified using the second artificial intelligence engine based on: identifying, by the second artificial intelligence, the activity data related to the platform; fetching, by the second artificial intelligence from the log creator [204], the set of logs based on the activity data; and analyzing, by the second artificial intelligence, the set of logs.
  12. 12. A system [200] for providing one or more recommendations to a user on a platform, the system [200] comprises: a transceiver unit [202] configured to receive an activity data related to the platform; a log creator unit [204] connected with the transceiver unit [202], the log creator unit [204] configured to create, a set of logs based on the activity data; a processing unit [206] connected to the log creator unit [204], the processing unit [206] configured to identify, a pattern of usage of a set of users based on the set of logs; wherein, the transceiver unit [202] is further configured to receive, from a set of user devices, a user feedback based on the pattern of usage; wherein the processing unit [206] is further configured to generate, at least one of one or more notifications and one or more recommendations based on at least one of the pattern of usage and the user feedback; and a delivering unit [208] connected to the processing unit [206], the delivering unit [208] configured to provide, on at least one of the set of user devices and the platform, at least one of the one or more notifications and the one or more recommendations to provide retention and chum management on the platform.
  13. 13. The system [200] as claimed in claim 12, wherein the identified pattern of usage of the set of users is one of a daily data consumption pattern parameter associated with a target user in comparison to one or more users from the set of users, a recharge patterns parameter associated with the set of users, a call drop pattern parameter associated with the set of users, a network parameter associated with the set of users, a recharge patterns parameter associated with the set of users, a voice call service usage parameter associated with the set of users.
  14. 14. The system [200] as claimed in claim 12, wherein the one or more recommendations is one of a predefined recommendation associated with the identified pattern of usage of the set of users.
  15. 15. The system [200] as claimed in claim 12, wherein the pattern of usage indicates at least one of: a pattern of one or more activities of the set of users on the platform; and a comparison of the pattern of the one or more activities of the set of users on the platform with a pattern of one or more activities of one or more target users on the platform.
  16. 16. The system [200] as claimed in claim 12, wherein the activity data comprises a data related to the one or more activities of the set of users on the platform for a predefined period of time.
  17. 17. The system [200] as claimed in claim 16, wherein the data related to the one or more activities of the set of users on the platform comprises at least an information related to at least one of a type of the one or more activities and a timestamp of the one or more activities.
  18. 18. The system [200] as claimed in claim 16, wherein the set of logs comprises one or more logs associated with the one or more activities of the set of users on the platform.
  19. 19. The system [200] as claimed in claim 12, wherein the platform is one of a wireless communication platform and a digital platform.
  20. 20. The system [200] as claimed in claim 12, wherein at least one of the one or more notifications and the one or more recommendations are generated by the processing unit [206] using a first artificial intelligence engine and the pattern of usage is identified by the processing unit [206] using a second artificial intelligence engine.

Description

METHOD AND SYSTEM FOR PROVIDING ONE OR MORE RECOMMENDATIONS TO A USER ON A PLATFORM TECHNICAL FIELD [001] Embodiments of the present disclosure generally relate to system for providing one or more recommendations. More particularly, embodiments of the present disclosure relate to methods and systems for providing one or more recommendations to a user on a platform in order to enhance a user experience on the platform. BACKGROUND [002] The following description of the related art is intended to provide background information pertaining to the field of the disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated that this section is used only to enhance the understanding of the reader with respect to the present disclosure, and not as admissions of the prior art. [003] Over the past few years digital technology and wireless technology have been enhanced to a great extent. Also, as the digital technology and the wireless technology are enhancing, the number of customers associated with different digital platforms and the wireless communication platforms are also increasing with a rapid rate. It is important for these digital and wireless communication platforms to retain their customers and control a chum rate of their customers. Further, the customer retention rate is the rate at which a business/ digital platform/ wireless communication platform keeps its customers within a given period of time. The detection of the retention rate i.e., the customer retention rate helps businesses/ companies understand the connection between what services they offer and the outcomes they achieve. A high retention rate indicates customers return with some degree of regularity. Moreover, such data points help in making important decisions, like investment in ads to attract new customers etc. Also, where the retention rate indicates repeat customers or purchases, a chum rate or user chum rate reflects how often customers stop doing business with a company/ digital platform/ wireless communication platform. The chum rate is measured to identify the percentage of customers that transact with a company only once within a designated period. These customers may have cancelled their subscription service or given their business to any competitor. [004] Further, over the period of time various solutions have been developed to manage the retention and chum of the customers. However, there are certain challenges with existing solutions. Mainly, the existing solutions are inefficient and fail to provide an efficient and effective solution of retention and chum management. Also, the existing solutions fail to consider the data points that may be collected at different stages of an entire customer journey of customers with an organisation, for providing a better retention and chum management solution. Moreover, in the existing solutions there is a lack of business intelligence (BI) and hence these solutions are not efficient and have many limitations. [005] Thus, there exists an imperative need in the art to provide an improved solution for retention and churn management that can overcome the limitations of the existing solutions and can provide better output, which the present disclosure aims to address. SUMMARY [006] This section is provided to introduce certain aspects of the present disclosure in a simplified form that are further described below in the detailed description. This summary is not intended to identify the key features or the scope of the claimed subject matter. [007] An aspect of the present disclosure may relate to a method for providing one or more recommendations to a user on a platform. The method comprises receiving, by a transceiver unit, an activity data related to the platform. The method further comprises creating, by a log creator, a set of logs based on the activity data. The method further comprises identifying, by a processing unit, a pattern of usage of a set of users based on the set of logs. The method further comprises receiving, by the transceiver unit from a set of user devices, a user feedback based on the pattern of usage. The method further comprises generating, by the processing unit, at least one of one or more notifications and one or more recommendations based on at least one of the pattern of usage and the user feedback. The method further comprises providing, by a delivering unit on at least one of the set of user devices and the platform, at least one of the one or more notifications and the one or more recommendations. [008] In an exemplary aspect of the present disclosure, the identified pattern of usage of the set of users is one of a daily data consumption pattern parameter associated with a target user in comparison to one or more users from the set of users, a recharge patterns parameter associated with the set of users, a call drop pattern parameter associated with the set of us