dr inż. Michał Malinowski

bazy grafowe, sztuczna inteligencja, cyberbezpieczeństwo

Recommendation Algorithm Based on Recommendation Sessions


Conference


Michał Malinowski
Proceedings of the 36th International Business Information Management Association (IBIMA), 2020 Nov, pp. 11260-11272


Cite

Cite

APA   Click to copy
Malinowski, M. (2020). Recommendation Algorithm Based on Recommendation Sessions. In Proceedings of the 36th International Business Information Management Association (IBIMA) (pp. 11260–11272). https://doi.org/10.13140/RG.2.2.35327.74401


Chicago/Turabian   Click to copy
Malinowski, Michał. “Recommendation Algorithm Based on Recommendation Sessions.” In Proceedings of the 36th International Business Information Management Association (IBIMA), 11260–11272, 2020.


MLA   Click to copy
Malinowski, Michał. “Recommendation Algorithm Based on Recommendation Sessions.” Proceedings of the 36th International Business Information Management Association (IBIMA), 2020, pp. 11260–72, doi:10.13140/RG.2.2.35327.74401.


BibTeX   Click to copy

@conference{micha2020a,
  title = {Recommendation Algorithm Based on Recommendation Sessions},
  year = {2020},
  month = nov,
  pages = {11260-11272},
  doi = {10.13140/RG.2.2.35327.74401},
  author = {Malinowski, Michał},
  booktitle = {Proceedings of the 36th International Business Information Management Association (IBIMA)},
  month_numeric = {11}
}

The enormous development of the Internet, both in the geographical scale and in the area of using its possibilities in everyday life, determines the creation and collection of huge amounts of data. Due to the scale, it is not possible to analyse them using traditional methods, therefore it makes a necessary to use modern methods and techniques. Such methods are provided, among others, by the area of recommendations. The aim of this study is to present a new algorithm in the area of recommendation systems, the algorithm based on data from various sets of information, both static (categories of objects, features of objects) and dynamic (user behaviour).

Share



Follow this website


You need to create an Owlstown account to follow this website.


Sign up

Already an Owlstown member?

Log in