On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Searching distributed collections with inference networks
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Experiences with selecting search engines using metasearch
ACM Transactions on Information Systems (TOIS)
Inquirus, the NECI meta search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Finding information on the World Wide Web: the retrieval effectiveness of search engines
Information Processing and Management: an International Journal
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
A Statistical Method for Estimating the Usefulness of Text Databases
IEEE Transactions on Knowledge and Data Engineering
Merging Ranks from Heterogeneous Internet Sources
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Determining Text Databases to Search in the Internet
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Generalizing GlOSS to Vector-Space Databases and Broker Hierarchies
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
The Use of Implicit Evidence for Relevance Feedback in Web Retrieval
Proceedings of the 24th BCS-IRSG European Colloquium on IR Research: Advances in Information Retrieval
Server Ranking for Distributed Text Retrieval Systems on the Internet
Proceedings of the Fifth International Conference on Database Systems for Advanced Applications (DASFAA)
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Query Based Site Selection for Distributed Search Engines
ICDCSW '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Estimating the Usefulness of Search Engines
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Towards comprehensive web search
Towards comprehensive web search
QueryFind: Search Ranking Based on Users' Feedback and Expert's Agreement
EEE '04 Proceedings of the 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'04)
Optimizing web search using web click-through data
Proceedings of the thirteenth ACM international conference on Information and knowledge management
The indexable web is more than 11.5 billion pages
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
MP-OWA: The most preferred OWA operator
Knowledge-Based Systems
Context-aware system for proactive personalized service based on context history
Expert Systems with Applications: An International Journal
Improving minimax disparity model to determine the OWA operator weights
Information Sciences: an International Journal
A3CRank: An adaptive ranking method based on connectivity, content and click-through data
Information Processing and Management: an International Journal
Determining more realistic OWA weights
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
Document similarity: a new measure using OWA
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
Aggregating preference ranking with fuzzy Data Envelopment Analysis
Knowledge-Based Systems
Research on computer-aided creative design platform based on creativity model
Expert Systems with Applications: An International Journal
Optimizing search engines results using linear programming
Expert Systems with Applications: An International Journal
On the axiomatization of some classes of discrete universal integrals
Knowledge-Based Systems
An agent based intelligent meta search engine
WISM'12 Proceedings of the 2012 international conference on Web Information Systems and Mining
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The required information of users is distributed in the databases of various search engines. It is inconvenient and inefficient for an ordinary user to invoke multiple search engines and identify useful documents from the returned results. Meta-search engines could provide a unified access for their users. In this paper, a novel meta-search engine, named as WebFusion, is introduced. WebFusion learns the expertness of the underlying search engines in a certain category based on the users' preferences. It also uses the ''click-through data concept'' to give a content-oriented ranking score to each result page. Click-through data concept is the implicit feedback of the users' preferences, which is also used as a reinforcement signal in the learning process, to predict the users' preferences and reduces the seeking time in the returned results list. The decision lists of underling search engines have been fused using ordered weighted averaging (OWA) approach and the application of optimistic operator as weightening function has been investigated. Moreover, the results of this approach have been compared with those achieve by some popular meta-search engines such as ProFusion and MetaCrawler. Experimental results demonstrate a significant improvement on average click rate, and the variance of clicks as well as average relevancy criterion.