Online Job and Candidate Recommendation System

2019 ◽  
Vol 1 (2) ◽  
pp. 84-89
Author(s):  
Punitavathi D ◽  
Shinu V ◽  
Siva Kumar S ◽  
Vidhya Priya S P

To develop an enhanced web application, using web services for both online job and candidate recommendation system. By using Professional Social Recommender (PSR) and Text field filtering the recommendation of jobs and candidates will be classified. Three tier architecture designs have been implemented for efficient data retrieval and data transfer. They are Job seeker interface, Candidate recruitment interface and Recommendation database will be the architecture taken for developing this application. The primary architecture will be the job seeker interface, in followed with candidate recruitment interface and Recommendation database will be interconnected. The professional social recommender will works as a third party agent and the agent will retrieves all the recommended job and candidate profiles. A panel will be designed for displaying the recommended job and candidate details. All the displayed jobs will be more relevant to the user’s profile. The generated user and candidate profile will be encrypted in order to overcome the privacy breaches.

2011 ◽  
Vol 7 (2) ◽  
pp. 71
Author(s):  
Ivan Magdalenić ◽  
Danijel Radošević ◽  
Dragutin Kermek

The on demand generation of source code and its execution is essential if computers are expected to play an active role in information discovery and retrieval. This paper presents a model of implementation of a source code generator, whose purpose is to generate source code on demand. Theimplementation of the source code generator is fully configurable and its adoption to a new application is done by changing the generator configuration and not the generator itself. The advantage of using the source code generator is rapid and automatic development of a family of application once necessary program templates and generator configuration are made. The model of implementation of the source code generator is general and implemented source code generator can be used in differentareas. We use a source code generator for dynamic generation of ontology supported Web services for data retrieval and for building of different kind of web application.


Author(s):  
P. Lorkowski ◽  
T. Brinkhoff

Since the emergence of sensor data streams, increasing amounts of observations have to be transmitted, stored and retrieved. Performing these tasks at the granularity of single points would mean an inappropriate waste of resources. Thus, we propose a concept that performs a partitioning of observations by spatial, temporal or other criteria (or a combination of them) into data segments. We exploit the resulting proximity (according to the partitioning dimension(s)) within each data segment for compression and efficient data retrieval. While in principle allowing lossless compression, it can also be used for progressive transmission with increasing accuracy wherever incremental data transfer is reasonable. In a first feasibility study, we apply the proposed method to a dataset of ARGO drifting buoys covering large spatio-temporal regions of the world´s oceans and compare the achieved compression ratio to other formats.


Author(s):  
Steffen Heinzl ◽  
Markus Mathes ◽  
Thilo Stadelmann ◽  
Dominik Seiler ◽  
Marcel Diegelmann ◽  
...  

Author(s):  
P. Lorkowski ◽  
T. Brinkhoff

Since the emergence of sensor data streams, increasing amounts of observations have to be transmitted, stored and retrieved. Performing these tasks at the granularity of single points would mean an inappropriate waste of resources. Thus, we propose a concept that performs a partitioning of observations by spatial, temporal or other criteria (or a combination of them) into data segments. We exploit the resulting proximity (according to the partitioning dimension(s)) within each data segment for compression and efficient data retrieval. While in principle allowing lossless compression, it can also be used for progressive transmission with increasing accuracy wherever incremental data transfer is reasonable. In a first feasibility study, we apply the proposed method to a dataset of ARGO drifting buoys covering large spatio-temporal regions of the world´s oceans and compare the achieved compression ratio to other formats.


2014 ◽  
Vol 1 (1) ◽  
pp. 9-34
Author(s):  
Bobby Suryajaya

SKK Migas plans to apply end-to-end security based on Web Services Security (WS-Security) for Sistem Operasi Terpadu (SOT). However, there are no prototype or simulation results that can support the plan that has already been communicated to many parties. This paper proposes an experiment that performs PRODML data transfer using WS-Security by altering the WSDL to include encryption and digital signature. The experiment utilizes SoapUI, and successfully loaded PRODML WSDL that had been altered with WSP-Policy based on X.509 to transfer a SOAP message.


2012 ◽  
Vol E95.D (12) ◽  
pp. 2852-2859
Author(s):  
Yutaka KAWAI ◽  
Adil HASAN ◽  
Go IWAI ◽  
Takashi SASAKI ◽  
Yoshiyuki WATASE
Keyword(s):  

Author(s):  
Khyrina Airin Fariza Abu Samah ◽  
Nursalsabiela Affendy Azam ◽  
Raseeda Hamzah ◽  
Chiou Sheng Chew ◽  
Lala Septem Riza

Transport ◽  
2015 ◽  
Vol 30 (3) ◽  
pp. 320-329 ◽  
Author(s):  
Erik Wilhelm ◽  
Joshua Siegel ◽  
Simon Mayer ◽  
Leyna Sadamori ◽  
Sohan Dsouza ◽  
...  

We present a novel approach to developing a vehicle communication platform consisting of a low-cost, open-source hardware for moving vehicle data to a secure server, a Web Application Programming Interface (API) for the provision of third-party services, and an intuitive user dashboard for access control and service distribution. The CloudThink infrastructure promotes the commoditization of vehicle telematics data by facilitating easier, flexible, and more secure access. It enables drivers to confidently share their vehicle information across multiple applications to improve the transportation experience for all stakeholders, as well as to potentially monetize their data. The foundations for an application ecosystem have been developed which, taken together with the fair value for driving data and low barriers to entry, will drive adoption of CloudThink as the standard method for projecting physical vehicles into the cloud. The application space initially consists of a few fundamental and important applications (vehicle tethering and remote diagnostics, road-safety monitoring, and fuel economy analysis) but as CloudThink begins to gain widespread adoption, the multiplexing of applications on the same data structure and set will accelerate its adoption.


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