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. Thus, SlideWiki will follow a hybrid model for User Profiling.
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)