Leveraging Collaborative-Filtering for Personalized Behavior Modeling: A Case Study of Depression Detection among College Students.
Xuhai XuPrerna ChikersalJanine M. DutcherYasaman S. SefidgarWoosuk SeoMichael J. TumminiaDaniella K. VillalbaSheldon CohenKasey G. CreswellJ. David CreswellAfsaneh DoryabPaula S. NuriusEve A. RiskinAnind K. DeyJennifer MankoffPublished in: Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. (2021)
Keyphrases
- college students
- collaborative filtering
- high school
- user profiles
- status quo
- personalized recommendation
- attitudes toward
- recommender systems
- learning strategies
- computer assisted language learning
- information filtering
- statistically significant
- matrix factorization
- data sparsity
- product recommendation
- data sets
- intrinsic motivation
- computer networking
- thinking skills
- interpersonal communication
- learning community
- united states
- online learning
- e learning
- social networks