Integration Challenges for a Web-based Personalized Query Suggestions System in Information Retrieval

Author(s):  
Ioan Badarinza ◽  
Adrian Sterca ◽  
Darius Bufnea ◽  
Virginia Niculescu
Author(s):  
Stephen Marsh

Information retrieval finds itself at an interesting juncture, where the amount of information that is available to people increases every day from its already bewildering limit. The problem is how to get the information we need in a timely and efficient fashion, without delivering useless or unwanted information. Current Web-Based IR systems do their best, but they will find it increasingly. . .


2012 ◽  
Author(s):  
Kamlesh Padaliya ◽  
Ashutosh Kumar Bhatt ◽  
Amarjeet Singh

1997 ◽  
Author(s):  
L. Rodney Long ◽  
Stanley R. Pillemer ◽  
Reva C. Lawrence ◽  
Gin-Hua Goh ◽  
Leif Neve ◽  
...  

foresight ◽  
2013 ◽  
Vol 15 (3) ◽  
pp. 159-176 ◽  
Author(s):  
Marco A. Palomino ◽  
Alexandra Vincenti ◽  
Richard Owen

Author(s):  
Sathiyamoorthi V.

It is generally observed throughout the world that in the last two decades, while the average speed of computers has almost doubled in a span of around eighteen months, the average speed of the network has doubled merely in a span of just eight months! In order to improve the performance, more and more researchers are focusing their research in the field of computers and its related technologies. Internet is one such technology that plays a major role in simplifying the information sharing and retrieval. World Wide Web (WWW) is one such service provided by the Internet. It acts as a medium for sharing of information. As a result, millions of applications run on the Internet and cause increased network traffic and put a great demand on the available network infrastructure.


Author(s):  
Anne-Marie Croteau ◽  
Marc Dfouni

This chapter presents the results obtained after reaching a consensus among 100 knowledge leaders on their critical issues. These issues include the perceived knowledge management benefits and obstacles, the knowledge leaders’ roles and skills, as well as the technologies they used for implementing knowledge management initiatives. Using a Web-based Delphi method, the results indicate that an increase in internal knowledge sharing is judged to be the most significant of all perceived knowledge management benefits. Their most important role is to foster a knowledge sharing culture in their organization in order to overcome the most important obstacle: organizational culture. They also suggest that the key abilities they should possess are those of strong interpersonal and leadership skills. Finally, portals and information retrieval engines are found to be the most widely used technologies to develop and/or implement knowledge management initiatives.


2011 ◽  
pp. 118-146 ◽  
Author(s):  
Syed Sibte Raza Abidi

This chapter introduces intelligent information personalization as an approach to personalize the webbased information retrieval experiences based on an individual’s interests, needs and goals. We present intelligent techniques to dynamically compose new personalized information by adapting existing web-based information in line with a dynamic user-model, whilst simultaneously addressing linguistic, factual and functional requirements. This chapter will highlight the different facets, tasks and issues concerning intelligent information personalization to guide researchers in designing intelligent information personalization applications. The chapter presents intelligent methods that address information personalization at the content level as opposed to the traditional approaches that focus on interface level information personalization. To assist researchers in designing intelligent information personalization applications we present our information personalization framework, named AdWISE (Adaptive Webmediated Information and Services Environment), to demonstrate how to systematically integrate various intelligent methods to achieve information personalization. We will conclude with a commentary on the future outlook for intelligent information personalization.


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