Web crawling based context aware recommender system using optimized deep recurrent neural network

Recommendation systems are obtaining more attention in various application fields especially e-commerce, social networks and tourism etc. The top items are recommended based on the ability of recommender system which predict the future preference out of the available items. Because of the internet,...

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Vydané v:	Journal of big data Ročník 8; číslo 1; s. 1 - 24
Hlavní autori:	Boppana, Venugopal, Sandhya, P.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 20.11.2021 Springer Nature B.V SpringerOpen
Predmet:	Accuracy Algorithms Big Data Clustering Communications Engineering Computation Computational Science and Engineering Computer Science Context Context aware recommendation Contextual information Crawling Data Mining and Knowledge Discovery Database Management Datasets Deep learning Deep recurrent neural network Electronic commerce Feature extraction Information Storage and Retrieval Internet Machine learning Mathematical Applications in Computer Science Mathematical models Natural language Natural language processing Networks Neural networks Parameters Programming languages Recommender systems Recurrent Recurrent neural networks Restaurants Similarity measure Social networks Tourism User preference vector Web crawling Web crawling Context aware recommendation Deep recurrent neural network Similarity measure User preference vector
ISSN:	2196-1115, 2196-1115
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