Do we trust the crowd or information system? Effects of personalization and bandwagon cues on users' attitudes and behavioral intentions toward a restaurant recommendation website.
Jinyoung KimAndrew GambinoPublished in: Comput. Hum. Behav. (2016)
Keyphrases
- recommender systems
- collaborative filtering
- website
- information systems
- trust aware
- user modeling
- trust propagation
- personalized services
- user profiles
- individual user
- personalized information
- navigational behavior
- recommendation systems
- user model
- product recommendation
- personal preferences
- web personalization
- user preferences
- user feedback
- user profiling
- information overload
- website design
- recommendation algorithms
- personalized recommendation
- navigational patterns
- user interface
- online dating
- user specific
- user similarity
- browsing behavior
- social networking websites
- social context
- user satisfaction
- web users
- web content
- user context
- context aware
- individual differences
- news recommendation
- user interaction
- log files
- user behavior
- web mining
- cognitive effort
- rating prediction
- context aware mobile
- tag recommendation
- virtual communities
- potential customers
- crowd sourcing
- web logs
- internet users
- user acceptance
- search engine