[PDF][PDF] Deep Learning Enabled Social Media Recommendation Based on User Comments.
K Saraswathi, V Mohanraj, Y Suresh… - … Systems Science & …, 2023 - cdn.techscience.cn
Nowadays, review systems have been developed with social media Recommendation
systems (RS). Although research on RS social media is increasing year by year, the …
systems (RS). Although research on RS social media is increasing year by year, the …
[PDF][PDF] An empirical research and comparative analysis of clustering performance for processing categorical and numerical data extracts from social media
S Renjith, A Sreekumar, M Jathavedan - Acta Scientiarum …, 2022 - academia.edu
Social media has significantly influenced modern lifestyle and the way in which most of the
industries operate their business. Social media data refers to the contents created by users …
industries operate their business. Social media data refers to the contents created by users …
Taxonomy grooming algorithm‐An autodidactic domain specific dimensionality reduction approach for fast clustering of social media text data
S Renjith, A Sreekumar… - … : Practice and Experience, 2022 - Wiley Online Library
Social media being the most eminent source toward the growth of big data is important for
information retrieval‐based applications to improve the efficiency in proportional to the …
information retrieval‐based applications to improve the efficiency in proportional to the …
A clustering study for the optimization of emotional information retrieval systems: Dbscan vs k-means
I Sadat, S Keshid - 2022 First International Conference on …, 2022 - ieeexplore.ieee.org
Information retrieval systems enable the organization, storage, retrieval and distribution of
information. Their main purpose is to retrieve information and return results that match the …
information. Their main purpose is to retrieve information and return results that match the …