1. Електронний науковий архів Науково-технічної бібліотеки Національного університету "Львівська політехніка"
2. Електронний архів Науково-технічної бібліотеки
3. Матеріали конференцій
4. Computational linguistics and intelligent systems
5. Computational linguistics and intelligent systems. – 2020 р.

Title:	Intellectual System of Recommendation on the Selection of the Food Object
Authors:	Roshko, Pavlo Prodaniuk, Mykola Oleksiv, Nazar
Affiliation:	Lviv Polytechnic National University
Bibliographic description (Ukraine):	Roshko P. Intellectual System of Recommendation on the Selection of the Food Object / Pavlo Roshko, Mykola Prodaniuk, Nazar Oleksiv // Computational linguistics and intelligent systems : proceedings of the 4nd International conference, 23-24 April 2020, Lviv, Ukraine. — Lviv : Lviv Politechnic Publishing House, 2020. — Vol 2 : Proceedings of the 4nd International conference, COLINS 2020. Workshop, Lviv, Ukraine April 23-24, 2020. — P. 362–363. — (Intelligent Systems).
Bibliographic description (International):	Roshko P. Intellectual System of Recommendation on the Selection of the Food Object / Pavlo Roshko, Mykola Prodaniuk, Nazar Oleksiv // Computational linguistics and intelligent systems : proceedings of the 4nd International conference, 23-24 April 2020, Lviv, Ukraine. — Lviv : Lviv Politechnic Publishing House, 2020. — Vol 2 : Proceedings of the 4nd International conference, COLINS 2020. Workshop, Lviv, Ukraine April 23-24, 2020. — P. 362–363. — (Intelligent Systems).
Is part of:	Computational linguistics and intelligent systems : proceedings of the 4nd International conference (2), 2020
Issue Date:	23-Apr-2020
Publisher:	Видавництво Львівської політехніки Lviv Politechnic Publishing House
Place of the edition/event:	Львів Lviv
Temporal Coverage:	23-24 April 2020, Lviv, Ukraine
Number of pages:	2
Page range:	362-363
Start page:	362
End page:	363
URI:	https://ena.lpnu.ua/handle/ntb/52192
ISSN:	2523-4013
Copyright owner:	© Національний університет “Львівська політехніка”, 2020
URL for reference material:	https://dl.acm.org/doi/abs/10.1145/2390821.2390830
References (Ukraine):	1. Real-time mobile recommendation system using food ingredient recognition - Access mode: https://dl.acm.org/doi/abs/10.1145/2390821.2390830 2. Lytvyn, V., Vysotska, V., Shatskykh, V., Kohut, I., Petruchenko, O., Dzyubyk, L., Bobrivetc, V., Panasyuk, V., Sachenko, S., Komar, M.: Design of a recommendation system based on Collaborative Filtering and machine learning considering personal needs of the user. In: Eastern-European Journal of Enterprise Technologies, 4(2-100), 6-28. (2019) 3. Artemenko, O., Pasichnyk, V., Kunanets, N., Shunevych, K.: Using sentiment text analysis of user reviews in social media for e-tourism mobile recommender systems. In: Computational Linguistics and Intelligent Systems, COLINS, CEUR workshop proceedings, Vol2604, 259-271. (2020). 4. Husak, V., Lozynska, O., Karpov, I., Peleshchak, I., Chyrun, S., Vysotskyi, A.: Information System for Recommendation List Formation of Clothes Style Image Selection According to User’s Needs Based on NLP and Chatbots. In: Computational Linguistics and Intelligent Systems, COLINS, CEUR workshop proceedings, Vol-2604, 788-818. (2020). 5. Makara, S., Chyrun, L., Burov, Y., Rybchak, Z., Peleshchak, I., Peleshchak, R., Holoshchuk, R., Kubinska, S., Dmytriv, A.: An Intelligent System for Generating End-User Symptom Recommendations Based on Machine Learning Technology. In: Computational Linguistics and Intelligent Systems, COLINS, CEUR workshop proceedings, Vol-2604, 844-883. (2020). 6. Shakhovska, N., Fedushko, S., Greguš, ml. M., Shvorob, I., Syerova, Yu.: Development of Mobile System for Medical Recommendations. In: The 15th International Conference on Mobile Systems and Pervasive Computing (MobiSPC), 155, 43-50. (2019) 7. Su, J., Sachenko, A., Lytvyn, V., Vysotska, V., Dosyn, D.: Model of Touristic Information Resources Integration According to User Needs. In: Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT, 113-116. (2018) 8. Lytvyn, V., Vysotska, V., Burov, Y., Demchuk, A.: Architectural ontology designed for intellectual analysis of e-tourism resources. In: Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT, 335-338. (2018) 9. Antonyuk, N., Vysotsky, A., Vysotska, V., Lytvyn, V., Burov, Y., Demchuk, A., Lyudkevych, I., Chyrun, L., Chyrun, S., Bobyk, І.: Consolidated Information Web Resource for Online Tourism Based on Data Integration and Geolocation. In: Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT, 15-20. (2019) 10. Vysotsky, A., Lytvyn, V., Vysotska, V., Dosyn, D., Lyudkevych, I., Antonyuk, N., Naum, O., Vysotskyi, A., Chyrun, L., Slyusarchuk, O.: Online Tourism System for Proposals Formation to User Based on Data Integration from Various Sources. In: Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT, 92-97. (2019) 11. Shakhovska, N., Shakhovska, K., Fedushko, S.: Some Aspects of the Method for Tourist Route Creation. In: Advances in Artificial Systems for Medicine and Education II, 902, 527-537. (2019). 12. Antonyuk, N., Medykovskyy, M., Chyrun, L., Dverii, M., Oborska, O., Krylyshyn, M., Vysotsky, A., Tsiura, N., Naum, O.: Online Tourism System Development for Searching and Planning Trips with User’s Requirements. In: Advances in Intelligent Systems and Computing IV, Springer Nature Switzerland AG 2020, 1080, 831-863. (2020) 13. Lozynska, O., Savchuk, V., Pasichnyk, V.: Individual Sign Translator Component of Tourist Information System. In: Advances in Intelligent Systems and Computing IV, Springer Nature Switzerland AG 2020, Springer, Cham, 1080, 593-601. (2020) 14. Zhezhnych, P., Markiv, O.: Recognition of tourism documentation fragments from webpage posts. In: 14th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering, TCSET, 948-951. (2018) 15. Vysotska, V., Hasko, R., Kuchkovskiy, V.: Process analysis in electronic content commerce system. In: Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT, 120-123. (2015) 16. Lytvyn, V., Vysotska, V.: Designing architecture of electronic content commerce system. In: Computer Science and Information Technologies. In: Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT, 115-119. (2015) 17. Vysotska, V., Fernandes, V.B., Emmerich, M.: Web content support method in electronic business systems. In: CEUR Workshop Proceedings, Vol-2136, 20-41. (2018) 18. Su, J., Vysotska, V., Sachenko, A., Lytvyn, V., Burov, Y.: Information resources processing using linguistic analysis of textual content. In: Intelligent Data Acquisition and Advanced Computing Systems Technology and Applications, Romania, 573-578. (2017)
References (International):	1. Real-time mobile recommendation system using food ingredient recognition - Access mode: https://dl.acm.org/doi/abs/10.1145/2390821.2390830 2. Lytvyn, V., Vysotska, V., Shatskykh, V., Kohut, I., Petruchenko, O., Dzyubyk, L., Bobrivetc, V., Panasyuk, V., Sachenko, S., Komar, M., Design of a recommendation system based on Collaborative Filtering and machine learning considering personal needs of the user. In: Eastern-European Journal of Enterprise Technologies, 4(2-100), 6-28. (2019) 3. Artemenko, O., Pasichnyk, V., Kunanets, N., Shunevych, K., Using sentiment text analysis of user reviews in social media for e-tourism mobile recommender systems. In: Computational Linguistics and Intelligent Systems, COLINS, CEUR workshop proceedings, Vol2604, 259-271. (2020). 4. Husak, V., Lozynska, O., Karpov, I., Peleshchak, I., Chyrun, S., Vysotskyi, A., Information System for Recommendation List Formation of Clothes Style Image Selection According to User’s Needs Based on NLP and Chatbots. In: Computational Linguistics and Intelligent Systems, COLINS, CEUR workshop proceedings, Vol-2604, 788-818. (2020). 5. Makara, S., Chyrun, L., Burov, Y., Rybchak, Z., Peleshchak, I., Peleshchak, R., Holoshchuk, R., Kubinska, S., Dmytriv, A., An Intelligent System for Generating End-User Symptom Recommendations Based on Machine Learning Technology. In: Computational Linguistics and Intelligent Systems, COLINS, CEUR workshop proceedings, Vol-2604, 844-883. (2020). 6. Shakhovska, N., Fedushko, S., Greguš, ml. M., Shvorob, I., Syerova, Yu., Development of Mobile System for Medical Recommendations. In: The 15th International Conference on Mobile Systems and Pervasive Computing (MobiSPC), 155, 43-50. (2019) 7. Su, J., Sachenko, A., Lytvyn, V., Vysotska, V., Dosyn, D., Model of Touristic Information Resources Integration According to User Needs. In: Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT, 113-116. (2018) 8. Lytvyn, V., Vysotska, V., Burov, Y., Demchuk, A., Architectural ontology designed for intellectual analysis of e-tourism resources. In: Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT, 335-338. (2018) 9. Antonyuk, N., Vysotsky, A., Vysotska, V., Lytvyn, V., Burov, Y., Demchuk, A., Lyudkevych, I., Chyrun, L., Chyrun, S., Bobyk, I., Consolidated Information Web Resource for Online Tourism Based on Data Integration and Geolocation. In: Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT, 15-20. (2019) 10. Vysotsky, A., Lytvyn, V., Vysotska, V., Dosyn, D., Lyudkevych, I., Antonyuk, N., Naum, O., Vysotskyi, A., Chyrun, L., Slyusarchuk, O., Online Tourism System for Proposals Formation to User Based on Data Integration from Various Sources. In: Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT, 92-97. (2019) 11. Shakhovska, N., Shakhovska, K., Fedushko, S., Some Aspects of the Method for Tourist Route Creation. In: Advances in Artificial Systems for Medicine and Education II, 902, 527-537. (2019). 12. Antonyuk, N., Medykovskyy, M., Chyrun, L., Dverii, M., Oborska, O., Krylyshyn, M., Vysotsky, A., Tsiura, N., Naum, O., Online Tourism System Development for Searching and Planning Trips with User’s Requirements. In: Advances in Intelligent Systems and Computing IV, Springer Nature Switzerland AG 2020, 1080, 831-863. (2020) 13. Lozynska, O., Savchuk, V., Pasichnyk, V., Individual Sign Translator Component of Tourist Information System. In: Advances in Intelligent Systems and Computing IV, Springer Nature Switzerland AG 2020, Springer, Cham, 1080, 593-601. (2020) 14. Zhezhnych, P., Markiv, O., Recognition of tourism documentation fragments from webpage posts. In: 14th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering, TCSET, 948-951. (2018) 15. Vysotska, V., Hasko, R., Kuchkovskiy, V., Process analysis in electronic content commerce system. In: Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT, 120-123. (2015) 16. Lytvyn, V., Vysotska, V., Designing architecture of electronic content commerce system. In: Computer Science and Information Technologies. In: Proceedings of the International Conference on Computer Sciences and Information Technologies, CSIT, 115-119. (2015) 17. Vysotska, V., Fernandes, V.B., Emmerich, M., Web content support method in electronic business systems. In: CEUR Workshop Proceedings, Vol-2136, 20-41. (2018) 18. Su, J., Vysotska, V., Sachenko, A., Lytvyn, V., Burov, Y., Information resources processing using linguistic analysis of textual content. In: Intelligent Data Acquisition and Advanced Computing Systems Technology and Applications, Romania, 573-578. (2017)
Content type:	Article
Appears in Collections:	Computational linguistics and intelligent systems. – 2020 р.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.