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Asefeh Asemi

Professor (Full)

Corvinus University of Budapest

Hungary

Research Interests

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About

Asefeh Asemi is an Associate Professor at Corvinus University of Budapest, Hungary. Her research areas include investment recommender systems, managerial traits in decision prediction, and bioinformatics author matching. She has also explored topics related to cheminformatics, interactive system usability, and the challenges and methods in big data analytics. Her recent publications reflect a strong focus on the intersection of technology and information science.

Articles (10)

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2022

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2022

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Asefeh Asemi

Research Interests

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About

Articles (10)

Investment Recommender System Model Based on the Potential Investors' Key Decision Factors

Unveiling the impact of managerial traits on investor decision prediction: ANFIS approach

Identifying effective criteria for author matching in bioinformatics

The Competitive Situation of the Cheminformatics Industry Based on Porter’s Model in Iran

Infoecology of the deep learning and smart manufacturing: thematic and concept interactions

Non-empirical ISO 9241-210:2019-based usability evaluation using fuzzy inference analyser: a special issue on interactive social robots

Data to evaluate the usability of an interactive system based on a judgment-based model

A judgment-based model for usability evaluating of interactive systems using fuzzy Multi Factors Evaluation (MFE)

An integrated model for evaluation of big data challenges and analytical methods in recommender systems

Future of information retrieval systems and the role of library and information science experts in their development

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