Working with a Recommendation Agent: How Recommendation Presentation Influences Users' Perceptions and Behaviors.
Emilie BigrasMarc-Antoine JutrasSylvain SénécalPierre-Majorique LégerMarc FredetteChrystel BlackNicolas RobitailleKarine GrandeChristian HudonPublished in: CHI Extended Abstracts (2018)
Keyphrases
- recommender systems
- collaborative filtering
- recommendation systems
- online dating
- cold start problem
- cold start
- information overload
- recommendation algorithms
- user feedback
- data sparsity
- product recommendation
- user preferences
- tag recommendation
- item recommendation
- user interaction
- travel information
- helping users
- amazon mechanical turk
- personalized recommendation
- personalized services
- multi agent systems
- query recommendation
- active user
- user experience
- intelligent agents
- personal interests
- personal preferences
- social networking services
- behavioral targeting
- browsing behavior
- long tail
- user ratings
- multiagent systems
- social media
- content based filtering
- agent technology
- information seeking
- autonomous agents
- web search
- end users
- user interface
- user perceptions
- multi agent