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    Article

    Enhancing the accuracy of collaborative filtering based recommender system with novel similarity measure

    One of the most effective and extensively used recommendation technique is collaborative filtering. Based on related users or items, collaborative filtering creates recommendations for the users. Similarity me...

    Pratibha Yadav, Jaya Gera, Harmeet Kaur in Multimedia Tools and Applications (2024)

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    Chapter and Conference Paper

    Resource Management Through Workload Prediction Using Deep Learning in Fog-Cloud Architecture

    Workload prediction involves forecasting the future resource demands and patterns for a computing system, such as cloud or fog infrastructure. It applies historical information and analytical methods to foreca...

    Pratibha Yadav, Deo Prakash Vidyarthi in Soft Computing and Its Engineering Applications (2024)

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    Chapter and Conference Paper

    Analyzing the Behavior of Real-Time Tasks in Fog-Cloud Architecture

    The growing number of IoT devices generates a huge amount of data that are generally processed by the Cloud datacenter. However, it results in inordinate delay for time-critical applications due to network int...

    Pratibha Yadav, Deo Prakash Vidyarthi in Advanced Network Technologies and Intellig… (2022)

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    Chapter

    Predicting Users’ Interest Through ELM-Based Collaborative Filtering

    Making accurate recommendations with the plethora of information has become a challenging task for researchers indulge in the area of recommender system. The most widely adopted collaborative filtering recomme...

    Shweta Tyagi, Pratibha Yadav, Moni Arora in Data, Engineering and Applications (2019)