Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Recurrent Neural Networks in Predicting the Popularity of Online Social Networks Content: A Review Description An account of the resource An online social network is a web platform that individuals use to make social relationships with people who share similar interests, activities, connections, and backgrounds. All online social networks differ in the number of features they provide and their format. In recent years, drastic growth has been seen in the users of online social networks like Flickr, Instagram, Pinterest, Twitter, etc. Among all the features of online social networks, content sharing is the one being widely used by individual users and large organizations. Due to this, content popularity prediction has been extensively studied nowadays, considering various aspects related to it. The study throws light on the use of machine learning techniques in this field. Various algorithms have been used to handle popularity prediction, including classification, regression, and clustering techniques. It is feasible to extract the essential information from such content using machine learning algorithms and utilize the retrieved information in a variety of ways, the majority of which are commercial in nature. The goal of this study is to review and analyze various recurrent neural network (RNN) approaches for predicting the popularity of social media content. The Electrochemical Society Creator An entity primarily responsible for making the resource Anand G.; Srivastava S.; Shandilya A.; Gupta V. Source A related resource from which the described resource is derived ECS Transactions, Vol-107, No. 1, pp. 19991-20003. Publisher An entity responsible for making the resource available Institute of Physics Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1149/10701.19991ecst" target="_blank" rel="noreferrer noopener">https://doi.org/10.1149/10701.19991ecst</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134030031&amp;doi=10.1149%2F10701.19991ecst&amp;partnerID=40&amp;md5=ee7d282a8bedeb573f069fc62248a25d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134030031&amp;doi=10.1149%2f10701.19991ecst&amp;partnerID=40&amp;md5=ee7d282a8bedeb573f069fc62248a25d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 19386737; ISBN: 978-160768539-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Anand G., School of Sciences, CHRIST (Deemed to be University), Uttar Pradesh, Ghaziabad, 201003, India; Srivastava S., School of Sciences, CHRIST (Deemed to be University), Uttar Pradesh, Ghaziabad, 201003, India; Shandilya A., Department of Computer Science, Geeta Engineering College, Haryana, Panipat, 132145, India; Gupta V., School of Sciences, CHRIST (Deemed to be University), Uttar Pradesh, Ghaziabad, 201003, India