Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
Nowadays, Demands of web scale are in increasing and growing rapidly. Mobile applications, web technologies, social media always generates unstructured data that had lead to the advent of various NoSQL databases. Therefore, Big data applications are necessary to have an efficient technology to collect these data. However, a relational database is the traditional database that always uses in many applications...
Public Transportation is a crucial factor for a journey not only the traveler but also people who live in Bangkok. From the variety of routes and many types of transport services that make a trip to Bangkok from one place to another would probably be shown by different ways. Pathly is our proposed algorithm which aims to develop the mobile applications that can suggest the diverse methods for a journey...
Network technology is being developed as a next-generation network (NGN) which is a software-defined networking. The network management can be done directly from the control unit that separated from the transmission unit, called as a forwarder and decoupling controller, which makes efficient network management. In the near future, the next generation network will be used to replace a traditional network...
Nowadays, a recommendation system is an important technique in the development of electronic-commerce systems and the most popular approaches that use in many recommendation systems are a collaborative filtering algorithm. However, it still has problems such as scalability and sparse data. There are several previous methods used to deal with the weakness of collaborative filtering techniques such...
Service Oriented Architecture (SOA) which contains a lot of consumers faces with reliability and availability problem. If one service fails, the user expects another alternative service to take the place of. In order to, increase service instance, service replication is adopted. To control the selection and replication of service, this paper proposes a service selection and replication based on Quality...
Mostly, many students did not get the proper academic path at first place. Therefore, they did not get a job as they like. This problem affects to decrease the talented workers in many nations. To solve this problem, we create the personality test online platform for providing guidance to students. It can provide many personality test forms, display result and career recommendation to whom taking...
Item-based collaborative filtering is a preferred technique on recommender system. It uses a value of item rating similarity to predict user's preference. In this paper, we include values of item attribute similarity to adjust the predicted rating equation for target item. The results of Item-based collaborative filtering that hybrid item rating similarity and item attribute similarity techniques...
Recommender System is tool for recommending products or services to customers which helps increase circulation products in electronic commerce systems. This paper proposes Naive Bayes Classifier Weighing Technique that applies to use with Singular Value Decomposition Technique for solving sparsity problem. The comparison Mean Absolute Error (MAE) between Hybrid Naive Bayes Classifier Weighing and...
A recommendation system enables us to take information from huge datasets about tastes effectively. Many cryptographical protocols for computing privacy-preserving recommendation without leaking the privacy of users are proposed. However, the current issue is the large computational overhead depending the number of users. Hence, the application of the protocol is limited within small communities....
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.