DC Field | Value | Language |
dc.contributor.author | Roshko, Pavlo | |
dc.contributor.author | Prodaniuk, Mykola | |
dc.contributor.author | Oleksiv, Nazar | |
dc.coverage.temporal | 23-24 April 2020, Lviv, Ukraine | |
dc.date.accessioned | 2020-06-12T11:10:31Z | - |
dc.date.available | 2020-06-12T11:10:31Z | - |
dc.date.created | 2020-04-23 | |
dc.date.issued | 2020-04-23 | |
dc.identifier.citation | 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). | |
dc.identifier.issn | 2523-4013 | |
dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/52192 | - |
dc.format.extent | 362-363 | |
dc.language.iso | en | |
dc.publisher | Видавництво Львівської політехніки | |
dc.publisher | Lviv Politechnic Publishing House | |
dc.relation.ispartof | Computational linguistics and intelligent systems : proceedings of the 4nd International conference (2), 2020 | |
dc.relation.uri | https://dl.acm.org/doi/abs/10.1145/2390821.2390830 | |
dc.title | Intellectual System of Recommendation on the Selection of the Food Object | |
dc.type | Article | |
dc.rights.holder | © Національний університет “Львівська політехніка”, 2020 | |
dc.contributor.affiliation | Lviv Polytechnic National University | |
dc.format.pages | 2 | |
dc.identifier.citationen | 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). | |
dc.relation.references | 1. Real-time mobile recommendation system using food ingredient recognition - Access mode: https://dl.acm.org/doi/abs/10.1145/2390821.2390830 | |
dc.relation.references | 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) | |
dc.relation.references | 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). | |
dc.relation.references | 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). | |
dc.relation.references | 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). | |
dc.relation.references | 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) | |
dc.relation.references | 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) | |
dc.relation.references | 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) | |
dc.relation.references | 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) | |
dc.relation.references | 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) | |
dc.relation.references | 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). | |
dc.relation.references | 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) | |
dc.relation.references | 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) | |
dc.relation.references | 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) | |
dc.relation.references | 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) | |
dc.relation.references | 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) | |
dc.relation.references | 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) | |
dc.relation.references | 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) | |
dc.relation.referencesen | 1. Real-time mobile recommendation system using food ingredient recognition - Access mode: https://dl.acm.org/doi/abs/10.1145/2390821.2390830 | |
dc.relation.referencesen | 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) | |
dc.relation.referencesen | 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). | |
dc.relation.referencesen | 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). | |
dc.relation.referencesen | 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). | |
dc.relation.referencesen | 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) | |
dc.relation.referencesen | 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) | |
dc.relation.referencesen | 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) | |
dc.relation.referencesen | 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) | |
dc.relation.referencesen | 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) | |
dc.relation.referencesen | 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). | |
dc.relation.referencesen | 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) | |
dc.relation.referencesen | 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) | |
dc.relation.referencesen | 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) | |
dc.relation.referencesen | 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) | |
dc.relation.referencesen | 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) | |
dc.relation.referencesen | 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) | |
dc.relation.referencesen | 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) | |
dc.citation.spage | 362 | |
dc.citation.epage | 363 | |
dc.coverage.placename | Львів | |
dc.coverage.placename | Lviv | |
Appears in Collections: | Computational linguistics and intelligent systems. – 2020 р.
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