Rapid Frequent Pattern Growth and Possibilistic Fuzzy C-means Algorithms for Improving the User Profiling Personalized Web Page Recommendation System

Sahoo, Sudarsan; Ratha, Bikram Kesari

doi:10.22266/ijies2018.0430.26

Cited by 4 publications

(2 citation statements)

References 17 publications

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“…As a result, modern art culture lacks humanistic value, and often does not follow the principle of "people-oriented". However, no matter from the perspective of time or from the perspective of space, folk art is closely linked with human life and has a high humanistic connotation [23]. Today's art culture is more about the combination of national characteristics and world trends, traditional culture and modern thinking, material basis and spiritual pursuit.…”

Section: Differences and Integration Of Folk Art And Modern Artmentioning

confidence: 99%

Innovative Development of Cross-cultural Communication of Folk Art and Resource Personalized Recommendation Algorithm in the Context of Intangible Cultural Heritage

2023

FAR

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With the rapid development of Internet technology, many people have acquired a lot of knowledge through online learning. However, the huge amount of information on the Internet makes it difficult for learners to find the learning resources they need in a timely and efficient manner. Therefore, in teaching technology, personalized recommendation technology has been paid more and more attention by people. The rapid development of today's society and the country's high emphasis on folk art have created rich conditions for the contemporary inheritance of folk art in the context of intangible cultural heritage, and opened up new development ideas. Starting from new ideas, new cultural environment, new media, new technologies and new achievements, this paper points out that folk art in the context of intangible cultural heritage should break the traditional concept and reform the way of inheritance; the power of network, market and government is fully utilized; new technologies are applied rationally, the superb skills of the ancestors are inherited, exchanges and cooperation are continued to be strengthened, advanced experience at abroad is used for reference, and new development models are created. At present, in the process of inheritance, folk art is in a passive state, that is, the demise and variation of cultural subjects. Therefore, both sides would like to see the goal of economic stability, social harmony and cultural prosperity through the exchange of ideas of "harmony but difference", to explore cultural innovations between cultures of various countries, to cultivate the ability of dialogue and consultation, and to achieve economic stability, social harmony and cultural prosperity. The survey shows that the sharing of traditional folk art is only up to 78% due to the limitation of dissemination or geographical restrictions, and the dissemination ability is relatively low, while the shareability of modern art is as high as 90% in recent years. At the same time, traditional folk art is rarely innovated and cannot meet the needs of social development. The emergence of modern art has provided support for the inheritance of folk art, and now the innovation ability has reached 80%. Incorporating folk art into modern art while retaining its characteristics and making it popular will be a more suitable inheritance path.

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Section: Differences and Integration Of Folk Art And Modern Artmentioning

confidence: 99%

Innovative Development of Cross-cultural Communication of Folk Art and Resource Personalized Recommendation Algorithm in the Context of Intangible Cultural Heritage

2023

FAR

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“…Sahoo, and B.K. Ratha [16] implemented a personalized web recommendation system to overcome the issues such as content overspecialization and sparsity. The number of sequences were converted into web pages in the approach.…”

Section: Literature Reviewmentioning

confidence: 99%

A Proficient Web Recommender System using Hybrid Possiblistic Fuzzy Clustering and Bayesian Model Approach

Venugopal¹,

Nagraj²

2018

IJIES

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In day to day life, the process of projecting the correct information to the authorized person is more difficult, which makes complexity to the decision making process. Web Page Recommendation Systems (WPRS) used in various fields to identify the customer needs and to help the users to take appropriate decisions over the service or product according to his/her preference. The group of users with similar preference will be identified by using Possibilistic Fuzzy C-Means (PFCM) algorithm with an S3I Similarity Measure (SM). The proposed method will determine the gain and loss of the web users based on the web directories which can be modified by using Relevance Feedback Bayesian Network (RFBN) technique. The experimental results are conducted on the MNSBC dataset and the outcomes are compared with the existing methods like Singular Value Decomposition (SVD) methods. The method predicts the accuracy up to 85% when compared with the existing methods and the outcome results proved the effectiveness of the PFCM -RFBN method.

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Sentimental Analysis of Amazon Customers using Deep Learning Techniques

Kumar

Sahoo

Mahapatro

et al. 2022

2022 International Conference on Machine Learning, Computer Systems and Security (MLCSS)

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Rapid Frequent Pattern Growth and Possibilistic Fuzzy C-means Algorithms for Improving the User Profiling Personalized Web Page Recommendation System

Cited by 4 publications

References 17 publications

Innovative Development of Cross-cultural Communication of Folk Art and Resource Personalized Recommendation Algorithm in the Context of Intangible Cultural Heritage

Innovative Development of Cross-cultural Communication of Folk Art and Resource Personalized Recommendation Algorithm in the Context of Intangible Cultural Heritage

A Proficient Web Recommender System using Hybrid Possiblistic Fuzzy Clustering and Bayesian Model Approach

Sentimental Analysis of Amazon Customers using Deep Learning Techniques

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