Amir Keyhanipour

Orcid: 0000-0003-4137-9494

According to our database1, Amir Keyhanipour authored at least 13 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

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Bibliography

2024
Graph-based comparative analysis of learning to rank datasets.
Int. J. Data Sci. Anal., March, 2024

2023
SeaRank: relevance prediction based on click models in a reinforcement learning framework.
Data Technol. Appl., 2023

2021
Click models inspired learning to rank.
Int. J. Web Inf. Syst., 2021

2016
Integration of data fusion and reinforcement learning techniques for the rank-aggregation problem.
Int. J. Mach. Learn. Cybern., 2016

Learning to rank with click-through features in a reinforcement learning framework.
Int. J. Web Inf. Syst., 2016

Learning to rank: new approach with the layered multi-population genetic programming on click-through features.
Genet. Program. Evolvable Mach., 2016

2015
CF-Rank: Learning to rank by classifier fusion on click-through data.
Expert Syst. Appl., 2015

2013
Designing a web spam classifier based on feature fusion in the Layered Multi-population Genetic Programming framework.
Proceedings of the 16th International Conference on Information Fusion, 2013

2009
A GP-adaptive web ranking discovery framework based on combinative content and context features.
J. Informetrics, 2009

2007
Aggregation of web search engines based on users' preferences in WebFusion.
Knowl. Based Syst., 2007

User Modeling for the Result Re-Ranking in the Meta-Search Engines via Reinforcement Learning.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Fusing Data and Optimizing Queries for Intelligent Search.
Proceedings of the 18th International Workshop on Database and Expert Systems Applications (DEXA 2007), 2007

2006
WebFusion: Fundamentals and Principals of a Novel Meta Search Engine.
Proceedings of the International Joint Conference on Neural Networks, 2006


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