The main function of recommendation systems is to help users select satisfactory services from many services. Existing usually need conduct a questionnaire survey the user or obtain user's third-party information in case cold start users; this operation often infringes on privacy. This article aimed at providing accurate recommendations for without infringement Therefore, response problem, manu...

Due to various breakthroughs and advancements in machine learning computer architectures, models are beginning proliferate through embedded platforms. Some of these cover a range applications including vision, speech recognition, healthcare efficiency, industrial IoT, robotics many more. However, there is critical limitation implementing ML algorithms efficiently on platforms: the computational...

Lightweight Mashup service become very prevalent now since there are lots of advantages for them, such as easy use, short development time, and strong scalability. It is a challenge problem how to recommend user-interested, high-quality Mashup services to user with the rapid development of more and more Mashup service. In this paper, we propose CSCF (a Mashup service recommendation approach bas...

One of the markets which is largest wholesaler clothing in Central Java Klewer market area and its surroundings. The Simple Inc Store one stores area. a large kiosk that sells products form various types t-shirts, shirts, jackets, sweaters pants. Sales these are still done conventionally, namely customers come directly to store choose buy products. number sold makes experience difficulties proc...

We propose a dynamic wavelength and bandwidth allocation algorithm with QoS (quality-ofservice) for a TWDM PON (time and wavelength division multiplexing passive optical network) system of NG-PON2 (next generation PON stage 2). Unlike other existing methods, the proposed method supports multiple service classes and is compliant to the NG-PON2 recommendation. To increase the wavelength allocatio...

nowadays, a great portion of researches research and industrial innovation is about the electric vehicles (ev) and also ev supply equipment (evse) that play an important role in this context. evse requires standardization via effective communication protocols. in this paper, we propose to customize the existing internet standard routing protocol for low power and lossy networks (rpl) to facilit...

Conversational recommender systems have attracted immense attention recently. The most recent approaches rely on neural models trained recorded dialogs between humans, implementing an end-to-end learning process. These are commonly designed to generate responses given the user's utterances in natural language. One main challenge is that these generated both be appropriate for dialog context and...