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Abstract-The recommendation is playing an essential part in our lives. Precise reco mmendations facilitate users to swiftly locate desirable items without being inundated by irrelevant informat ion. In the last few years, the amount of customers, products and online informat ion has raised speedily and results out into the huge data analysis problem for reco mmender systems. While handling and evaluating such large-scale data, usual service recommender systems regularly undergo scalability and inefficiency problems. Nowadays, in mu ltimed ia platform such as movie, music, games, the use of Reco mmender System is increased. Co llaborative Filtering is a dominant filtering technique used by many RSs. CF utilizes the rating history of the user to find out "like minded" users and this set of like -minded user is then used to recommend the movies which are liked by these like-minded users but did not watch by the active user. Thus, in CF, to find out the "neighborhood" the rating history of a user is used, but the reason behind the rating is not considered at all. This will lead to inaccuracy in finding a neighborhood set and subsequently in recommendation also. To cope with these scalability and accuracy challenges, this paper proposes an innovative solution, Clustering and Review based Approach for Collaborative Filtering based Recommendation. This innovative approach is enacted with the two stages; in the first stage the clustering of the available movies for recommendation is clustered into the subclasses for further co mputation. In the succeeding stage, the methodology based on reviews is utilized for finding neighborhood set in User Based Collaborative Filtering.

Today's rapidly growing and ever-changing world, the demands of high productivity, security of computer systems and computer networks is very important. In the modern and rapidly growing and changing internet era, network plays a vital role. And for transmitting data over a network or communication network for that various things are used and that things first must know while validating data over the network. And for that purpose, in these paper a detailed study and analysis of some networks key points are presented.

Food safety is top priority for a lot of industries right now, maintaining food security has become difficult when it comes to customer demand. The food put on the market has to be of good quality and safe for use, as well as not be a source of any infection. For this reason, securing food safety and quality is a matter of the responsibility of food producers and governments. During the process of distributing food products it will go through all stages of the supply chain, i. e. all processes from farm to the consumers? tables, is to achieve full supervision of food safety in the modern world, because the journey leading from food production to the consumer is very time-and space consuming. There are many dangers of food during the transport, food storage, or food preparation. In order to enable food quality and sanitary safety of food products, companies have to follow rules and regulation, standards, and norms at every stage of the supply chain. The aim of this paper is to show how food safety is important and the ways in which industry ensures a temperature level that different kinds of food products require.