Results 271 to 280 of about 31,193 (295)

Inverse Document Frequency-Weighted Word2Vec Model to Recommend Apparels

2019 6th International Conference on Signal Processing and Integrated Networks (SPIN), 2019
With the rapid growth of e-commerce markets the need for recommendation engine and efficient algorithms are becoming the need of the hour for business models of the companies to generate a huge amount of profit. This paper proposes a hybrid algorithm to benefit apparel retailing market which gives the benefits of both, semantics based search and ...
Priyanka Meel, Agniva Goswami
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Classification of Bangla Text Documents based on Inverse Class Frequency

2018 3rd International Conference On Internet of Things: Smart Innovation and Usages (IoT-SIU), 2018
With the increasing availability of the textual content on the internet, automatic text classification or text categorization analogously becomes a prime key in solving the problem of information organization and knowledge management. This paper aims to provide an automatic text classification system that classifies the Bangla text document into its ...
Ankita Dhar, Niladri Sekhar Dash, Kaushik Roy   +2 more
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Inverse Document Frequency and Web Search Engines

2001
Full text searching over a database of moderate size often uses the inverse document frequency, idf = log(N/df), as a component in term weighting functions used for document indexing and retrieval. However, in very large databases (e.g. internet search engines), there is the potential that the collection size (N) could dominate the idf value,
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Using recursive ART network to construction domain ontology based on term frequency and inverse document frequency

Expert Systems with Applications, 2008
Ontology describes data about data and offers a group of glossaries with a definition that encompasses them in their entire. It not only transfers syntax of words but also accurately transfers semantic data between human users and the network.
Rung Ching Chen, Jui-Yuan Liang, Ren-Hao Pan   +2 more
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Automated document classification for news article in Bahasa Indonesia based on term frequency inverse document frequency (TF-IDF) approach

2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE), 2014
The exponential growth of the data may lead us to the information explosion era, an era where most of the data cannot be managed easily. Text mining study is believed to prevent the world from entering that era. One of the text mining studies that may prevent the explosion era is text classification.
Ari Aulia Hakim, Alva Erwin, Kho I Eng, Maulahikmah Galinium, Wahyu Muliady   +4 more
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Image Based Password Composition Using Inverse Document Frequency

2017
Password remains one of the main authentication methods in today’s time. The challenge with password as authentication system is due to its dependency on humans. Its strength and weakness is decided by the alphanumeric string set by users. A number of the websites demand users to use strong passwords even though they do not safeguard any critical ...
K. P. Arun, Arun Mishra
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An Enhanced Hybrid Feature Selection Technique Using Term Frequency-Inverse Document Frequency and Support Vector Machine-Recursive Feature Elimination for Sentiment Classification

IEEE Access, 2021
Nur Syafiqah Mohd Nafis, Suryanti Awang
exaly  

Predicting stock trend using an integrated term frequency–inverse document frequency-based feature weight matrix with neural networks

Applied Soft Computing Journal, 2020
Ankit Thakkar, Kinjal Chaudhari
exaly  

A simple probabilistic explanation of term frequency-inverse document frequency (tf-idf) heuristic (and variations motivated by this explanation)

International Journal of General Systems, 2017
Vladik Kreinovich
exaly  

Inverse Document Frequency

2009
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