Design and Implementation of User-Centered Adaptive Search Engine

Author(s):  
Shailja Dalmia ◽  
Ashwin T S ◽  
Ram Mohana Reddy Guddeti
2020 ◽  
Vol 6 (2) ◽  
Author(s):  
Jonas Bornmann ◽  
Benjamin Schirrmeister ◽  
Torsten Parth ◽  
Jose Gonzalez-Vargas

AbstractThe article describes the designers’ perspectives for development and implementation of industrial exoskeletons. Findings are based on the research and own development of commercial available exoskeletons. The authors describe and emphasize the importance of a user centered design and implementation process.


Author(s):  
Orlando De Pietro

The paper presents a technique of interrogation, in mobile technology, of a knowledge base contained in an e-Learning platform. The query is done through the integrated use of an adaptive search engine (ASE) and QR codes. The QR-Code are used to label objects in real environments of cultural matter (eg: museums, art galleries, archaeological sites, etc.). These objects can then be analyzed in more detail during a real learning activity (situated learning and authentic learning). The knowledge base of the virtual learning environment (VLE), is interrogated through a mobile device (smartphone or tablet) which, through an appropriate decoder software, interprets the instructions contained in a QR label previously positioned on the object actually observed by the learner (eg, during a visit to a museum). ASE combines to the data contained in the QR-Code those relating to the user who performs the query (previously recognized via the log-in on the e-Learning platform), therefore, extracts information about the observed object, adapting to the profile of the user-learner. With the help of these tools the learner can expand his real learning experience, while interacting with a virtual learning environment. In this way, situated and authentic learning activities can be upgraded and virtualized, maturing a significative educational experience with the use of intuitive and user friendly digital tools.


2013 ◽  
Vol 427-429 ◽  
pp. 2122-2125
Author(s):  
Wen Zhao Liu ◽  
Li Min Niu ◽  
Jun Jie Chen

Under the aims at corpus automatic collection on the process of the large-scale Lexicography corpus collection, the paper described corpus collection Technology which is based on Web. And then, the paper introduces the book information corpus tool, including how to make use of the technique of search engine and information extraction in our system.


2017 ◽  
Vol 67 ◽  
pp. 1-10 ◽  
Author(s):  
David A. Hanauer ◽  
Danny T.Y. Wu ◽  
Lei Yang ◽  
Qiaozhu Mei ◽  
Katherine B. Murkowski-Steffy ◽  
...  

2013 ◽  
Vol 798-799 ◽  
pp. 803-807
Author(s):  
Yong Hua Zhang ◽  
Chao Wang

The relationship between the meta search engine and independent search engine is presented. The news information searched by the independent search engine is not accurate and complete. After researching the technology of summary generation and meta search engine, summary generation algorithm is improved, the news summary based meta search engine system is put forward and the realization of it is expounded. Experiment showed the summary created did well in readability and coverage, and enhanced the precision.


Sign in / Sign up

Export Citation Format

Share Document