An Agent-Based Personalized Search on a Multi-Search Engine Based on Internet Search Service

Authors:
Min-Huang Ho;Yue-Shang Chang;Shyan-Ming Yuan;Winston Lo
Affiliations:
-;-;-;-
Venue:
IDEAL '00 Proceedings of the Second International Conference on Intelligent Data Engineering and Automated Learning, Data Mining, Financial Engineering, and Intelligent Agents
Year:
2000

Citing 6
Cited 0

Experiences with selecting search engines using metasearch

ACM Transactions on Information Systems (TOIS)
An agent architecture for personalized Web stores

Proceedings of the third annual conference on Autonomous Agents
A new multi-search engine for querying data through an Internet search service on CORBA

Computer Networks: The International Journal of Computer and Telecommunications Networking
Modern Information Retrieval

Modern Information Retrieval
Amalthaea: An Evolving Multi-Agent Information Filtering and Discovery System for the WWW

Autonomous Agents and Multi-Agent Systems
Enabling Concept-Based Relevance Feedback for Information Retrieval on the WWW

IEEE Transactions on Knowledge and Data Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

The Internet Search Service (ISS) was proposed to support an uniform interface for searching on the World Wide Web. Based on this service, a multi-search engine named Octopus had been built. In order to provide more services, such as personal functionality, we provide personalized search for users. In this paper, the policies of personalized search are described. In addition, in order to keep the advantages of the ISS, a personal information-filtering agent is added into the Octopus instead of modifying the architecture or interface of ISS. The feedback mechanism is in coopcratiori with the filfering nrechanism to achieve the functionally of personalized search in a search engine.