Recommendation Systems help users search large amounts of digital contents and identify more effectively the items�products or services�that are likely to be more attractive or useful. As such, it can be characterized as tools that help people making decisions, i.e., make a choice across a vast set of alternatives. This research work has explored decision-making processes in the wide application domain of online services, specifically, hotel booking. This research work is a combination of collaborative filtering (Item-based) recommendation and knowledge-based recommendation system. In which collaborative filtering recommendation will work for user searching and knowledge-based recommendation will work as default recommendation system. In knowledge-based recommendation system it reads the user profile along with his activity of certain last time period as our main knowledge base where this work define the fact of user�s activity. Then this research work applies sorting and counting algorithm. Contextual data are temporarily stored in the knowledge base as the time user stay logged in. Each login will take an updated contextual database. In searching, using item-based k-nearest neighbor algorithm for prediction by collaborative filtering. This work proposed a new rating system which based on hotels performance. � Springer Nature Singapore Pte Ltd. 2019.

The Holy Quran being the most comprehensive book of reference has discussed on every minute details of human anatomy. One of them is human senses and can be categorized by external parts and internal parts. For example external parts such as ears are used to sense audio, eyes are used to sense visual, and nose is used to sense smell. While for internal parts, emotion is used to sense feelings such as happiness and sadness. Although all of the senses that comes from the external and internal parts are important in human�s well-being, the Holy Quran has placed different emphasizes on all of these senses. This is because some of the senses are quoted more often than others. Using data extraction technology, this study finds that ears and eyes are quoted most often although ears seem to be more superior. Therefore, it is the purpose of this paper to investigate the reason why ears are quoted more often than eyes in the Holy Quran. In addressing this question, this paper applies two methods. Firstly, all verses related to sound and sight senses are gathered. Then the superiority between them are measured based on the book of exegesis (tafsir) and scientific reports. 2017 American Scientific Publishers All rights reserved.