https://oldena.lpnu.ua/handle/ntb/56842| Title: | Recommendation Dialog System for Selecting the Computer Hardware Configurationconfiguration |
| Authors: | Svystun, Oksana Yurchak, Iryna |
| Affiliation: | Lviv Polytechnic National University |
| Bibliographic description (Ukraine): | Svystun O. Recommendation Dialog System for Selecting the Computer Hardware Configurationconfiguration / Oksana Svystun, Iryna Yurchak // Advances in Cyber-Physical Systems. — Lviv : Lviv Politechnic Publishing House, 2021. — Vol 6. — No 1. — P. 70–76. |
| Bibliographic description (International): | Svystun O. Recommendation Dialog System for Selecting the Computer Hardware Configurationconfiguration / Oksana Svystun, Iryna Yurchak // Advances in Cyber-Physical Systems. — Lviv : Lviv Politechnic Publishing House, 2021. — Vol 6. — No 1. — P. 70–76. |
| Is part of: | Advances in Cyber-Physical Systems, 1 (6), 2021 |
| Issue: | 1 |
| Issue Date: | 1-Mar-2021 |
| Publisher: | Lviv Politechnic Publishing House |
| Place of the edition/event: | Львів Lviv |
| DOI: | https://doi.org/10.23939/acps2021.01.070 |
| Keywords: | recommendation system dialog system chat bot Telegram computer hardware configuration |
| Number of pages: | 7 |
| Page range: | 70-76 |
| Start page: | 70 |
| End page: | 76 |
| Abstract: | The development of modern technologies is extremely fast. Every day more and more new and various means appear in the world to improve the quality of life and more. It is not possible for a person to process all this new information on the scale and speed with which this information appears. Everyone has their own preferences and wants to receive and obtain information about certain events or things that they are interested in. This has become one of the most important reasons for creating referral systems. The purpose of developing a recommended dialog system for selecting the computer hardware configuration is to help users choose the computer's hardware characteristics to suit their requirements and needs. This system is suitable for being used by both qualified users in this field, and for users unfamiliar with computer technology. There has been an attempt to analyze the types of recommendation dialog systems and their varieties in the paper. The principle of operation of the recommendation dialog system in the form of a chat bot made on the platform of the messenger Telegram has been considered. |
| URI: | https://ena.lpnu.ua/handle/ntb/56842 |
| Copyright owner: | © Національний університет “Львівська політехніка”, 2021 © Svystun O., Yurchak I., 2021 |
| URL for reference material: | https://core.telegram.org/bots |
| References (Ukraine): | [1] Hill, J., Ford, W. and Farreras, I. (2015). Real conversations with artificial intelligence: a comparison between human-human online conversations and human-chatbot conversations. Comput. Hum. Behav., 49, pp. 245–250. [2] Melville, P., Mooney, R., and Nagarajan, R. (2002). ContentBoosted Collaborative Filtering for Improved Recommendations. Eighteenth National Conference on Artificial Intelligence, pp. 187–192. [3] Ricci, F., Rokach, L. and Shapira, B. (2015). Recommender Systems: Introduction and Challenges. In: Ricci F., Rokach L., Shapira B. (eds) Recommender Systems Handbook. Springer, Boston, MA. [4] Sarwar, B., Karypis, G., Konstan, J. and Riedl, J. (2001). Item [5] Lu, Z., Dou, Z., Lian, J., Xie, X. and Yang, Q. (2015). ContentBased Collaborative Filtering for News Topic Recommendation. AAAI Conference on Artificial Intelligence, 29(1), pp. 162–167. [6] Folstad, A. and Brandtzaeg, P. B. (2017). Chatbots and the new world of HCI. Interactions, 24(4), pp. 38–42. [7] Janarsanam, S. (2017). Hands-On Chatbots and Conversational UI Development. Packt Publishing Ltd, Mumbai Maharastra. [8] Dewes, C., Wichmann, A. and Feldmann, A. (2003). Ananalysis of Internet chat systems, Proc. ACM SIGCOMM IMC, pp. 51–64. [9] Bots: An introduction for developers. Аvailable at: https://core.telegram.org/bots [Accessed 12 June 2021]. [10] Sutikno, T., Handayani, L., Stiawan, D., M. Riyadi, M. and Subroto, I. (2016). WhatsApp Viber and Telegram which is best for instant messaging?, International Journal of Electrical and Computer Engineering, 6(3), pp. 909–914. |
| References (International): | [1] Hill, J., Ford, W. and Farreras, I. (2015). Real conversations with artificial intelligence: a comparison between human-human online conversations and human-chatbot conversations. Comput. Hum. Behav., 49, pp. 245–250. [2] Melville, P., Mooney, R., and Nagarajan, R. (2002). ContentBoosted Collaborative Filtering for Improved Recommendations. Eighteenth National Conference on Artificial Intelligence, pp. 187–192. [3] Ricci, F., Rokach, L. and Shapira, B. (2015). Recommender Systems: Introduction and Challenges. In: Ricci F., Rokach L., Shapira B. (eds) Recommender Systems Handbook. Springer, Boston, MA. [4] Sarwar, B., Karypis, G., Konstan, J. and Riedl, J. (2001). Item [5] Lu, Z., Dou, Z., Lian, J., Xie, X. and Yang, Q. (2015). ContentBased Collaborative Filtering for News Topic Recommendation. AAAI Conference on Artificial Intelligence, 29(1), pp. 162–167. [6] Folstad, A. and Brandtzaeg, P. B. (2017). Chatbots and the new world of HCI. Interactions, 24(4), pp. 38–42. [7] Janarsanam, S. (2017). Hands-On Chatbots and Conversational UI Development. Packt Publishing Ltd, Mumbai Maharastra. [8] Dewes, C., Wichmann, A. and Feldmann, A. (2003). Ananalysis of Internet chat systems, Proc. ACM SIGCOMM IMC, pp. 51–64. [9] Bots: An introduction for developers. Available at: https://core.telegram.org/bots [Accessed 12 June 2021]. [10] Sutikno, T., Handayani, L., Stiawan, D., M. Riyadi, M. and Subroto, I. (2016). WhatsApp Viber and Telegram which is best for instant messaging?, International Journal of Electrical and Computer Engineering, 6(3), pp. 909–914. |
| Content type: | Article |
| Appears in Collections: | Advances In Cyber-Physical Systems. – 2021. – Vol. 6, No. 1 |
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2021v6n1_Svystun_O-Recommendation_Dialog_System_70-76.pdf | 308.38 kB | Adobe PDF | View/Open | |
| 2021v6n1_Svystun_O-Recommendation_Dialog_System_70-76__COVER.png | 536.28 kB | image/png | View/Open |
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