From post

Utilizing various sparsity measures for enhancing accuracy of collaborative recommender systems based on local and global similarities.

, и . Expert Syst. Appl., 38 (5): 5101-5109 (2011)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

Benchmarking Self-Supervised Representation Learning from a million Cardiac Ultrasound images., , и . EMBC, стр. 529-532. IEEE, (2022)Semi-supervised Aspect Based Sentiment Analysis for Movies Using Review Filtering., и . IHCI, том 84 из Procedia Computer Science, стр. 86-93. Elsevier, (2015)Assessing the Performance of CMOS Amplifiers Using High-k Dielectric with Metal Gate on High Mobility Substrate., , , и . ICACDS (1), том 905 из Communications in Computer and Information Science, стр. 279-289. Springer, (2018)Legal document similarity: a multi-criteria decision-making perspective., и . PeerJ Comput. Sci., (2020)Pruning trust-distrust network via reliability and risk estimates for quality recommendations., и . Soc. Netw. Anal. Min., 3 (1): 65-84 (2013)User Profiling Based on Keyword Clusters for Improved Recommendations., и . ICDCIT, том 8337 из Lecture Notes in Computer Science, стр. 176-187. Springer, (2014)Exploring graph-based global similarity estimates for quality recommendations., и . Int. J. Comput. Sci. Eng., 9 (3): 188-197 (2014)A novel evolutionary approach for learning syntactic features for cross domain opinion target extraction., и . Appl. Soft Comput., (2021)Utilizing various sparsity measures for enhancing accuracy of collaborative recommender systems based on local and global similarities., и . Expert Syst. Appl., 38 (5): 5101-5109 (2011)Folksonomy-based fuzzy user profiling for improved recommendations., и . Expert Syst. Appl., 41 (5): 2424-2436 (2014)