Method and process for collaboratively built content filtering
AssigneeInternational Business Machines Corporation
InventorsChelsea C. Beerse, Patrick J. O'Sullivan, Jeffrey B. Sloyer, Carol S. Zimmet
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Abstract
A method and system for collaborative content filtering on a communications network includes monitoring social networking communications of a plurality of users on a communications network using a program. The method and system further include selecting a filter parameter by a user. The content of the social networking communications is filtered based on the filter parameter including parsing input from the users, using the program. The filtered content is identified to at least one user.
Claims15
A computer implemented method for collaborative content filtering on a communications network, comprising:
- monitoring social networking communications of a plurality of users on a communications network using a program, the program being executable by a processor of a computer;
- receiving, using the computer, filter parameters from an initiating user of the plurality of users, the filter parameters include identifying content of communication content of the social networking communications and a target user of the plurality of users to be presented the identified content, the initiating user selecting a content topic from the social networking communications for filtering;
- filtering, using the computer, the identified content in the communication content of the social networking communications based on the filter parameters, the filtering including parsing input from the users, using the program;
- and
- visually identifying, using the computer, the filtered identified content for the target user within the communication content and without excluding any of the communication content, the visual identification of the filtered identified content includes displaying the filtered identified content using a designation;
- the filtering the identified content in the communication content of the social networking communications further includes:
- an active mode wherein the parsing of the input from the users is in real time;
- a passive mode wherein the parsing of the input from the users is from saved inputs from the users;
- and
- the filter parameters include detecting a threshold frequency of a topic, and identifying the topic for a plurality of users when the threshold frequency is reached.
A computer system for collaborative content filtering on a communications network, which comprises:
- one or more computer processors, one or more computer-readable storage media, and program instructions stored on one or more of the computer-readable storage media for execution by at least one of the one or more processors, the program instructions, comprising:
- monitoring social networking communications of a plurality of users on a communications network using a program, the program being executable by a processor of a computer;
- receiving, using the computer, filter parameters from an initiating user of the plurality of users, the filter parameters include identifying content of communication content of the social networking communications and a target user of the plurality of users to be presented the identified content, the initiating user selecting a content topic from the social networking communications for filtering;
- filtering, using the computer, the identified content in the communication content of the social networking communications based on the filter parameters, the filtering including parsing input from the users, using the program;
- and
- visually identifying, using the computer, the filtered identified content for the target user within the communication content and without excluding any of the communication content, the visual identification of the filtered identified content includes displaying the filtered identified content using a designation;
- the filtering the identified content in the communication content of the social networking communications further includes:
- an active mode wherein the parsing of the input from the users is in real time;
- a passive mode wherein the parsing of the input from the users is from saved inputs from the users;
- and
- the filter parameters include detecting a threshold frequency of a topic, and identifying the topic for a plurality of users when the threshold frequency is reached.
A computer program product for collaborative content filtering on a communications network, the computer program product including a program embodied in a non-transitory computer readable storage medium, the program having code being executable by a processor to perform a method, comprising:
- monitoring social networking communications of a plurality of users on a communications network using a program, the program being executable by a processor of a computer;
- receiving filter parameters from an initiating user of the plurality of users, the filter parameters include identifying content of communication content of the social networking communications and a target user of the plurality of users to be presented the identified content, the initiating user selecting a content topic from the social networking communications for filtering;
- filtering the identified content in the communication content of the social networking communications based on the filter parameter, the filtering including parsing input from the users, using the program;
- and
- identifying the filtered identified content for the target user within the communication content and without excluding any of the communication content, the visual identification of the filtered identified content includes displaying the filtered identified content using a designation;
- the filtering the identified content in the communication content of the social networking communications further includes:
- an active mode wherein the parsing of the input from the users is in real time;
- a passive mode wherein the parsing of the input from the users is from saved inputs from the users;
- and
- the filter parameters include detecting a threshold frequency of a topic, and identifying the topic for a plurality of users when the threshold frequency is reached.
Dependencies are inferred from the claim text.