SemRec – An efficient ensemble recommender with sentiment based clustering for social media text corpus-Reference-Cited by-同舟云学术

SemRec – An efficient ensemble recommender with sentiment based clustering for social media text corpus

Published:2021-05-20 Issue:20 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Renjith Shini¹²^ORCID,Sreekumar A.¹,Jathavedan M.¹

Affiliation:

1. Department of Computer Applications Cochin University of Science and Technology Kochi India

2. Department of Computer Science and Engineering Mar Baselios College of Engineering and Technology Thiruvananthapuram India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6359

Reference42 articles.

1. Big data and its technical challenges

2. A recommender system using GA K-means clustering in an online shopping market

3. A personalized travel recommender model based on content‐based prediction and collaborative recommendation;Renjith S;Int J Comput Sci Mob Comput,2013

4. RenjithS AnjaliC.A personalized mobile travel recommender system using hybrid algorithm. Paper presented at: 2014 First International Conference on Computational Systems and Communications (ICCSC). Thiruvananthapuram India: IEEE; 2014.https://doi.org/10.1109/compsc.2014.7032612.

5. RenjithS SreekumarA JathavedanM.SMaRT: a framework for social media based recommender for tourism. Paper presented at: Second International Conference on Networks and Advances in Computational Technologies.Transactions on Computational Science and Computational Intelligence. Thiruvananthapuram India; 2021:297‐307.https://doi.org/10.1007/978‐3‐030‐49500‐8_26.

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Use of artificial intelligence in biblical citation recommendations in the New Testament;Revista Científica Multidisciplinar Núcleo do Conhecimento;2023-07-11

2. Deep Learning Enabled Social Media Recommendation Based on User Comments;Computer Systems Science and Engineering;2023

3. A Clustering Study for the Optimization of Emotional Information Retrieval Systems: DBSCAN vs K-means;2022 First International Conference on Computer Communications and Intelligent Systems (I3CIS);2022-11-22

4. An empirical research and comparative analysis of clustering performance for processing categorical and numerical data extracts from social media;Acta Scientiarum. Technology;2022-03-11

5. Taxonomy grooming algorithm ‐ An autodidactic domain specific dimensionality reduction approach for fast clustering of social media text data;Concurrency and Computation: Practice and Experience;2022-02