List organizing strategies using stochastic move-to-front and stochastic move-to-rear operations
SIAM Journal on Computing
Learning automata: an introduction
Learning automata: an introduction
OHSUMED: an interactive retrieval evaluation and new large test collection for research
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Journal of the American Society for Information Science
Crossover improvement for the genetic algorithm in information retrieval
Information Processing and Management: an International Journal
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Associative Document Retrieval Techniques Using Bibliographic Information
Journal of the ACM (JACM)
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
IR evaluation methods for retrieving highly relevant documents
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Applying genetic algorithms to query optimization in document retrieval
Information Processing and Management: an International Journal
A study of smoothing methods for language models applied to Ad Hoc information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Modern Information Retrieval
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Learning automata and its application to priority assignment in a queueing system with unknown characteristics
Combining link-based and content-based methods for web document classification
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
IEEE Transactions on Knowledge and Data Engineering
A generic ranking function discovery framework by genetic programming for information retrieval
Information Processing and Management: an International Journal
Journal of the American Society for Information Science and Technology
Exploiting the hierarchical structure for link analysis
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
A study of relevance propagation for web search
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Relevance weighting for query independent evidence
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Topical link analysis for web search
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Adaptive Web Search: Evolving a Program That Finds Information
IEEE Intelligent Systems
An integrated two-stage model for intelligent information routing
Decision Support Systems
On linear mixture of expert approaches to information retrieval
Decision Support Systems
Genetic Programming-Based Discovery of Ranking Functions for Effective Web Search
Journal of Management Information Systems
Modeling the web as a hypergraph to compute page reputation
Information Systems
An immune programming-based ranking function discovery approach for effective information retrieval
Expert Systems with Applications: An International Journal
Journal of Network and Computer Applications
A cellular learning automata-based algorithm for solving the vertex coloring problem
Expert Systems with Applications: An International Journal
Learning automata-based algorithms for solving stochastic minimum spanning tree problem
Applied Soft Computing
A link stability-based multicast routing protocol for wireless mobile ad hoc networks
Journal of Network and Computer Applications
LLACA: An adaptive localized clustering algorithm for wireless ad hoc networks
Computers and Electrical Engineering
Learning in multilevel games with incomplete information. I
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Multiple stochastic learning automata for vehicle path control in an automated highway system
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A new approach to the job scheduling problem in computational grids
Cluster Computing
An adaptive backbone formation algorithm for wireless sensor networks
Computer Communications
Mobility prediction in mobile wireless networks
Journal of Network and Computer Applications
A distributed resource discovery algorithm for P2P grids
Journal of Network and Computer Applications
An adaptive learning to rank algorithm: Learning automata approach
Decision Support Systems
LAAP: A Learning Automata-based Adaptive Polling Scheme for Clustered Wireless Ad-Hoc Networks
Wireless Personal Communications: An International Journal
Degree constrained minimum spanning tree problem: a learning automata approach
The Journal of Supercomputing
An energy-efficient topology construction algorithm for wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Mobility-Based Backbone Formation in Wireless Mobile Ad-hoc Networks
Wireless Personal Communications: An International Journal
Energy-efficient backbone formation in wireless sensor networks
Computers and Electrical Engineering
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Due to the massive amount of heterogeneous information on the web, insufficient and vague user queries, and use of the same query by different users for different aims, the information retrieval process deals with a huge amount of uncertainty and doubt. Under such circumstances, designing an efficient retrieval function and ranking algorithm by which the most relevant results are provided is of the greatest importance. In this paper, a learning automata-based ranking function discovery algorithm in which different sources of information are combined is proposed. In this method, the learning automaton is used to adjust the portion of the final ranking that is assigned to each source of evidence based on the user feedback. All sources of information are first given the same importance. The proportion of a given source increases, if the documents provided by this source are reviewed by the user and decreases otherwise. As the proposed algorithm proceeds, the probability of appearance of each source in the final ranking gets proportional to its relevance to the user queries. Several simulation experiments are conducted on well-known data collections and query types to show the performance of the proposed algorithm. The obtained results demonstrate that the proposed algorithm outperforms several existing methods in terms of precision at position n, mean average precision, and normalized discount cumulative gain.