How Long to Stay Where? On the Amount of Item Consumption in Travel Recommendation.
Linus W. DietzWolfgang WörndlPublished in: RecSys (Late-Breaking Results) (2019)
Keyphrases
- personalized recommendation
- user preferences
- travel information
- item recommendation
- collaborative filtering
- cold start problem
- recommendation systems
- recommender systems
- recommendation algorithms
- collaborative filtering recommendation algorithm
- latent factor models
- cold start
- long tail
- user ratings
- matrix factorization
- personal preferences
- user feedback
- making recommendations
- user interests
- data sets
- implicit feedback
- website
- rating prediction
- user interaction
- neural network
- web search
- music retrieval
- product recommendation
- prediction accuracy
- tag recommendation
- mental models