A user similarity-based Top-N recommendation approach for mobile in-application advertising

This publication has 13 references indexed in Scilit:

• Mobile Information Recommendation Using Multi-Criteria Decision Making with Bayesian Network
  International Journal of Information Technology & Decision Making, 2015
• A new user similarity model to improve the accuracy of collaborative filtering
  Knowledge-Based Systems, 2014
• Comparison of collaborative filtering algorithms
  ACM Transactions on the Web, 2011
• Collaborative filtering with temporal dynamics
  Communications of the ACM, 2010
• Improving memory-based collaborative filtering via similarity updating and prediction modulation
  Information Sciences, 2010
• Factor in the neighbors
  ACM Transactions on Knowledge Discovery From Data, 2010
• A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem
  Information Sciences, 2008
• A recommendation mechanism for contextualized mobile advertising
  Expert Systems with Applications, 2003
• Amazon.com recommendations: item-to-item collaborative filtering
  IEEE Internet Computing, 2003
• Cumulated gain-based evaluation of IR techniques
  ACM Transactions on Information Systems, 2002