Pandemics are a severe threat to lives in the universe and our universe encounters several
pandemics till now. COVID-19 is one of them, which is a viral infectious disease that …

This paper presents a binary classification of entrepreneurs in British historical data based
on the recent availability of big data from the I-CeM dataset. The main task of the paper is to …

Dynamic programming (DP) and Markov Decision Process (MDP) offer powerful tools for
formulating, modeling, and solving decision making problems under uncertainty. In real …

Recent research in the human computer interaction and information retrieval areas has
revealed that search response latency exhibits a clear impact on the user behavior in web …

One way of improving the performance of a search engine is increasing the hit ratio of the
search engine cache. A common and widely used approach for increasing the hit ratio is a …

Caching search results is employed in information retrieval systems to expedite query
processing and reduce back-end server workload. Motivated by the observation that queries …

The increasing amount of pressure to digitalize what we are used to consider a conventional
data has created a need to analyze, search and process unique data structures in a timely …

Machine learning models and recommender systems play a crucial role in web applications,
providing personalized experiences to each customer. Recurring visits of the same customer …

A commonly used technique for improving query response time in retrieval systems is
storing query-relevant information in a fast access memory storage such as a result cache …

This research article presents the development of a distributed search algorithm aimed at
enhancing the efficiency of web search engines. Through a qualitative methodology …