This plugin delivers a channel suggestions for the users using collaborative filtering.
Collaborative filtering is based on user activities. Basically if user U1 and U2 happen to be active in channels C1, C2 and C3, and user U3 is active in C1 and C2 we can suggest to the user U3 that they will probably be active in channel C3 as well.
- Implementation uses simple KNN method. Later on model could be changed and could be as complicated as it needs to be.
- Number of posts is used as the user activity score per channel. This also could be changed for a more complicated model.
- Suggestions are precalculated. A job is spawned in OnActivate() method which calculates suggestions daily and saves them in KVStore.
- One can change precalculation period in the configuration.
git clone https://github.com/mattermost/mattermost-plugin-suggestions.git
cd mattermost-plugin-suggestions
make
suggestions-0.1.0.tar.gz will be generated in the mattermost-plugin-suggestions/dist folder. This file should be uploaded in the Mattermost System Console. See details here
Trigger the suggestion via the slash command /suggest channels. Other triggers may be added later.
- Change user activity score and add more features.
- Implement other machine learning models
- Collect user data, perform tests and validation, optimize parameters, improve Root Mean Square Error