Summary
- To provide a model and implementation for the User Profiling Module of SlideWiki
Background and goals
User Profiling is applied on two levels, static and dynamic.
Static data for user profiling include the user-related data that the user has provided through the creation and updating of his/her profile. These include:
- Demographic data
- Name
- Age
- Education
- Educational and Research Interests
- Affiliation
- Participation in Groups
Dynamic data for user profiling include extracted and inferred data from user activity. These include:
- Deck consumption statistics
- Average time spent on reading/consuming decks
- Number of presentations given
- Usage of external sources, multimedia etc.
- Themes and Domains of created decks (e.g. through semantic annotation and/or tagging)
- Content creation
- Average time spent on creating/editing content
- Number of decks the user is participating as an owner/editor
- Statistics on usage of the user's created decks from other users (i.e., reachability/popularity of created content)
- Themes and Domains of created decks (e.g. through semantic annotation and/or tagging)
Assumptions
The user profiling module should interact with the activity tracking components in order to ensure that the needed data is produced (e.g. tracking of time spent on decks)