An expert recommendation algorithm based on Pearson correlation coefficient and FP-growth
- 3 January 2018
- journal article
- research article
- Published by Springer Science and Business Media LLC in Cluster Computing
- Vol. 22 (S3), 7401-7412
- https://doi.org/10.1007/s10586-017-1576-y
Abstract
No abstract availableKeywords
Funding Information
- Jiangsu Province the Fifth "333 Project" (HAC2015008)
- Huai’an City Production and Research Projects (HAS201621)
This publication has 21 references indexed in Scilit:
- User-Specific Feature-Based Similarity Models for Top- n Recommendation of New ItemsACM Transactions on Intelligent Systems and Technology, 2015
- Experience in item based recommender systemPublished by Association for Computing Machinery (ACM) ,2015
- Anything You Can Do, I Can Do BetterPublished by Association for Computing Machinery (ACM) ,2014
- Using Dynamically Promoted Experts for Music RecommendationIEEE Transactions on Multimedia, 2014
- Dynamic generation of personalized hybrid recommender systemsPublished by Association for Computing Machinery (ACM) ,2013
- Heterogeneous data fusion via matrix factorization for augmenting item, group and friend recommendationsPublished by Association for Computing Machinery (ACM) ,2013
- On using category experts for improving the performance and accuracy in recommender systemsPublished by Association for Computing Machinery (ACM) ,2012
- Exploring personal impact for group recommendationPublished by Association for Computing Machinery (ACM) ,2012
- Determining user expertise for improving recommendation performancePublished by Association for Computing Machinery (ACM) ,2012
- A probabilistic definition of item similarityPublished by Association for Computing Machinery (ACM) ,2011