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Methods implemented in delivering data based on "Sieve" theorem Disclosure Number: IPCOM000249545D
Publication Date: 2017-Mar-03
Document File: 2 page(s) / 63K

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The Prior Art Database


Methods implemented in delivering data based on "Sieve" theorem

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Methods implemented in delivering data based on "Sieve" theorem

Problem Statement: In a social media messaging services there are many redundant messages floating around which user might not be interested to re-read. Some messages might annoy the recipient if message is received multiple times from various groups.

Business Value: Social messaging services is playing vital role, by having these type of sieve methods would, i. enrich the user experience and greatly differentiate the messaging service providers among the competitors ii. reduce network traffic and leads to saving storage space

Provisions: Deriving intelligence from context specific redundant messages floating in social  messaging services while a message delivery action is performed on a specific Chat Group Detection of message status for a user based on which the delivery would be  attempted to the group. Provision of detecting members automatically who haven't read that message from  any social collaboration mode.

Solution: The proposed is a method to filter context specific redundant messages in social messaging services.

If a message is triggered to a group of a people, our proposed system will identify to which users that message has to be delivered and which users it has to be restricted (based on redundant check).

Redundancy check would be made as, If a particular Puzzle or video or image has been already delivered to a person in one group and if the same message is sent again from another group, system identifies that user has already read it, it is considered as redundancy in that context. System is smart enough to filter such identified messages and responses given to that message by other users.

Eg. If a Santa-Banta joke has been posted to User A in one Group G1, and in Group G2 of User A the same message is posted. Then the system will filter that "Santa-Banta" joke and responses given by different users to that message. This way in the entire conversation, only redundant message and its corresponding replies will be filtered and will not be delivered to the user A

Filtering theorem analyses user response in other chat groups and will identify what sort of redundant messages are not interested for the user.

2)We should convey responses for those bored messages will also be filtered by the system....