A proposed configurable approach for recommendation systems via data mining techniques

Ayman E. KhedrDepartment of Information Systems, Faculty of Computers and Information, Helwan University, Cairo, EgyptCorrespondence[email protected]

Amira M. IdreesDepartment of Information Systems, Faculty of Computers and Information, Fayoum University, Fayoum, Egypt

Abd El-Fatah HegazyCollege of Computing and Information Technology, AASTMT, Cairo, Egypt

Samir El-ShewyDepartment of Management Information Systems, Modern Academy, Cairo, Egypt

Citations (4)

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (4)

Amira M. Idrees, Abdulwahab Ali Almazroi & Ayman E. Khedr. (2022) Utilizing Mining Techniques for Attributes’ Intra-Relationship Detection, a Collaborative Approach. International Journal of Human–Computer Interaction 0:0, pages 1-13.
Read now

Logesh Ravi, Malathi Devarajan, Vijayakumar V, Arun Kumar Sangaiah, Lipo Wang, Sasikumar A & V Subramaniyaswamy. (2021) An intelligent location recommender system utilising multi-agent induced cognitive behavioural model. Enterprise Information Systems 15:10, pages 1376-1394.
Read now

Debaditya Barman, Ritam Sarkar, Anil Tudu & Nirmalya Chowdhury. (2020) Personalized query recommendation system : A genetic algorithm approach. Journal of Interdisciplinary Mathematics 23:2, pages 523-535.
Read now

Maryam Ghasemaghaei. (2019) Are firms ready to use big data analytics to create value? The role of structural and psychological readiness. Enterprise Information Systems 13:5, pages 650-674.
Read now

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

A proposed configurable approach for recommendation systems via data mining techniques

Information for

Open access

Opportunities

Help and information

Your download is now in progress and you may close this window

Login or register to access this feature

A proposed configurable approach for recommendation systems via data mining techniques

Citations (4)

Read on this site (4)

Reprints and Corporate Permissions

Academic Permissions

Related research

To cite this article:

Download citation

Information for

Open access

Opportunities

Help and information

Keep up to date