Sunny Sharma

University of Jammu · Department of Computer Science and Information Technology

span lang="EN-US">The efficient finding of common patterns: a group of items that appear frequently in a dataset is a critical task in data mining, especially in transaction datasets. The goal of this paper is to look into the efficiency of various algorithms for frequent pattern mining in terms of computing time and memory consumption, as well as...

The Internet of Things (IoT) has the potential to revolutionize the livestock farming industry by improving efficiency, reducing costs and increasing productivity. IoT plays an important role in providing innovative solutions to revolutionize the agriculture & farming sectors. Eminent researchers are constantly working to provide novel solutions an...

Information Retrieval (IR) is a process for information processing with the aim of concerned among dealing with documents containing free text in order to acquire them rapidly using keywords process in a user’s search string. Designing effective tools to collect and utilize electronic resources has become a key challenge as the large amount of inte...

Web recommendation systems are ubiquitous in the world used to overcome the product overload on e-commerce websites. Among various filtering algorithms, Collaborative Filtering and Content Based Filtering are the best recommendation approaches. Being popular, these filtering approaches still suffer from various limitations such as Cold Start Proble...

Today, mobile phones have become an essential component of student techno-culture, especially among the medical students. Increasing mobile phone utilization among adolescents in the present scenario has made this useful device an indispensable electronic technique; however, it appears at a price of problematic addiction or nomophobia. The key idea...

Web recommendation is the process of providing personalization recommendations to the requirements of specific users. A lot of research is conducted on recommender systems by a broad range of communities including computer scientists and interdisciplinary researchers. In response, a lot of recommender systems have been developed so far. However, th...

The past decade has seen significant development in the number of personalized recommendation applications on the World Wide Web. It aims to assist users to retrieve relevant items from a large repository of contents by providing items or services of likely interest based on examined evidence of the users’ preferences and desires. However, this vis...

Web usage mining is the use of data mining techniques to analyze user behavior in order to better serve the needs of the user. This process of personalization uses a set of techniques and methods for discovering the linking structure of information on the web. The goal of web personalization is to improve the user experience by mining the meaningfu...

The Existing studies have already revealed that the information on the web is increasing rapidly. Ambiguous queries and user’s ability to express their intention through queries have been one of the key challenges in retrieving the accurate search results from the search engine. This paper in response explored different methodologies proposed durin...

Web search engines assist users to discover useful information on the World Wide Web. However, when the same query is submitted by different users, typical search engines provide the identical results regardless of who submitted the query. The search engines usually provide search results without considering user context or interests. Ecommerce web...

The emergence of the Web technology generated a massive amount of raw data by enabling Internet users to post their opinions, comments, and reviews on the web. To extract useful information from this raw data can be a very challenging task. Search engines play a critical role in these circumstances. User queries are becoming main issues for the sea...