Path: Top -> Journal -> Jurnal Internasional -> King Saud University -> 2018 -> Volume 30, Issue 2, April
A Secured Cognitive Agent based Multi-strategic Intelligent Search System
By : Neha Gulati, Atul Garg, King Saud University
Created : 2018-06-02, with 1 files
Keyword : BDI model, Cognitive Agent, Emotion, Information retrieval, Intelligent search,Search Engine
Url : http://www.sciencedirect.com/science/article/pii/S131915781630043X
Document Source : WEB
Search Engine (SE) is the most preferred information retrieval tool ubiquitously used. In spite of vast scale involvement of users in SEs, their limited capabilities to understand the user/searcher context and emotions places high cognitive, perceptual and learning load on the user to maintain the search momentum. In this regard, the present work discusses a Cognitive Agent (CA) based approach to support the user in Web-based search process. The work suggests a framework called Secured Cognitive Agent based Multi-strategic Intelligent Search System (CAbMsISS) to assist the user in search process. It helps to reduce the contextual and emotional mismatch between the SEs and user. After implementation of the proposed framework, performance analysis shows that CAbMsISS framework improves Query Retrieval Time (QRT) and effectiveness for retrieving relevant results as compared to Present Search Engine (PSE). Supplementary to this, it also provides search suggestions when user accesses a resource previously tagged with negative emotions. Overall, the goal of the system is to enhance the search experience for keeping the user motivated. The framework provides suggestions through the search log that tracks the queries searched, resources accessed and emotions experienced during the search. The implemented framework also considers user security.
Property | Value |
---|---|
Publisher ID | gdlhub |
Organization | King Saud University |
Contact Name | Herti Yani, S.Kom |
Address | Jln. Jenderal Sudirman |
City | Jambi |
Region | Jambi |
Country | Indonesia |
Phone | 0741-35095 |
Fax | 0741-35093 |
Administrator E-mail | elibrarystikom@gmail.com |
CKO E-mail | elibrarystikom@gmail.com |
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