Khoros has been granted a patent for techniques that enable gamification in online social communities. The patent describes a method for receiving input data from a client, analyzing it using a community analytic module to determine metrics associated with the interaction, and generating awards based on the metrics. The method also includes providing visual feedback to users through user interfaces and sending notifications to clients when the interaction falls below a threshold rate. The patent aims to enhance user engagement and interaction within online communities. GlobalData’s report on Khoros gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Khoros, Personalized content delivery was a key innovation area identified from patents. Khoros's grant share as of September 2023 was 52%. Grant share is based on the ratio of number of grants to total number of patents.
Gamification techniques for online social communities
A recently granted patent (Publication Number: US11741551B2) describes a method for analyzing user interactions on a website and providing visual feedback to users based on community metrics. The method involves receiving input data from a client associated with an interaction on a website served by multiple servers. The input data is analyzed using a community analytic module to determine various levels of metrics associated with the interaction.
The first level of metrics quantifies the interaction between the client and the online community, while the second level is associated with feedback data provided by other clients in response to the interaction. The third level involves generating awards based on a combination of the first and second level metrics. The method includes displaying different types of visual feedback in user interface portions associated with the online community. This includes a first user interface portion that presents visual feedback quantifying the interaction privately to the client and a second user interface portion that presents visual feedback quantifying the feedback data semi-privately to a subset of clients.
If the quantification of the interaction falls below a threshold rate, a notification is generated and sent to the client. The notification alerts the client to engage interactively with the online community within a resource constraint, such as a time limit. The second level metrics, which quantify community metric data, are used to generate visual feedback in the form of a leaderboard displaying information about contributors to the online community.
The method also includes presenting a dynamic indicator at the client that automatically updates based on the performance of the action. The method further involves using first, second, and third level feedback modules to generate the respective levels of metrics. The first level metrics are quantitatively computed and accumulated over time, while the second level metrics can be filtered based on demographic characteristics or determined based on different types or topic categories.
Overall, this patented method provides a comprehensive approach to analyzing user interactions on a website and providing visual feedback to users based on community metrics. It aims to incentivize user engagement and recognize contributions within an online community.
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