Using lower-bound similarity to enhance the performance of recommender systems.
Mohak SharmaP. Krishna ReddyPublished in: Bangalore Compute Conf. (2011)
Keyphrases
- lower bound
- recommender systems
- upper bound
- collaborative filtering
- similarity measure
- music recommendation
- branch and bound
- objective function
- matrix factorization
- user similarity
- user modeling
- linear programming relaxation
- lower and upper bounds
- distance measure
- worst case
- branch and bound algorithm
- semantic similarity
- user preferences
- np hard
- optimal solution
- similarity measurement
- cold start problem
- user profiling
- lower bounding
- prediction accuracy
- structural similarity
- distance metric
- collaborative filtering recommender systems
- information filtering
- user feedback
- information retrieval
- similarity search
- user profiles
- online learning
- website
- learning algorithm