A review on clustering techniques: Creating better user experience for online roadshow
Online roadshow is a relatively new concept that has higher flexibility and scalability
compared to the physical roadshow. This is because online roadshow is accessible through …
compared to the physical roadshow. This is because online roadshow is accessible through …
A Brief Analysis of Collaborative and Content Based Filtering Algorithms used in Recommender Systems
In the modern age and many prestigious applications use the recommendation method to
play an important role. The system of recommendations collected apps, built a global village …
play an important role. The system of recommendations collected apps, built a global village …
Session-based recommendation with graph neural networks for repeat consumption
Session-based recommendation aims to predict user actions only based on anonymous
session sequence. The repeat consumption is a common phenomenon in the …
session sequence. The repeat consumption is a common phenomenon in the …
Affinity Propagation‐Based Hybrid Personalized Recommender System
A personalized recommender system is broadly accepted as a helpful tool to handle the
information overload issue while recommending a related piece of information. This work …
information overload issue while recommending a related piece of information. This work …
K-means and K-medoids for Indonesian text summarization
The purpose of this study is to build automated summation tools, especially in grou**
methods such as K-Means and K-Medoids. Finding the best method between the two …
methods such as K-Means and K-Medoids. Finding the best method between the two …
Hybrid algorithm for item collaborative filtering based on matrix factorization
Y Zhang, X Lu, Y Shi, D Zhang - 2023 4th Information …, 2023 - ieeexplore.ieee.org
The traditional collaborative filtering algorithm obtains K nearest-neighbor items, which may
have the problem of too little similarity among nearest-neighbor items, making the accuracy …
have the problem of too little similarity among nearest-neighbor items, making the accuracy …
Deep learning for knowledge graph completion with XLNET
M Su, H Su, H Zheng, B Yan - Proceedings of the 2021 5th International …, 2021 - dl.acm.org
Knowledge Graph is a graph knowledge base composed of fact entities and relations.
Recently, the adoption of Knowledge Graph in Natural Language Processing tasks has …
Recently, the adoption of Knowledge Graph in Natural Language Processing tasks has …
Cross-lingual text clustering in a large system
The multilingual world needs systems that can cluster text written in multiple languages into
the same thread or topic. Clustering multilingual text can be accomplished by translating and …
the same thread or topic. Clustering multilingual text can be accomplished by translating and …
ECORS: An Ensembled Clustering Approach to Eradicate The Local And Global Outlier In Collaborative Filtering Recommender System
M Hasan - ar**
users navigate the vast amount of information available on the internet. Given the …
users navigate the vast amount of information available on the internet. Given the …
Machine learning algorithms for recommendation of learning CS courses in e-learning systems
Intelligent Recommender Systems (RS) on conceptual learning of Computer Science (CS)
have been widely applied in the teaching of universities, in order to provide a personalized …
have been widely applied in the teaching of universities, in order to provide a personalized …