A New Approach to Image-Based Recommender Systems with the Application of Heatmaps Maps

[1] Charu C Aggarwal. Content-based recommender systems. In Recommender systems, pages 139–166. Springer, 2016.10.1007/978-3-319-29659-3_4 Search in Google Scholar

[2] Aasia Ali and Sanjay Sharma. Content based image retrieval using feature extraction with machine learning. In 2017 international conference on intelligent computing and control systems (ICICCS), pages 1048–1053. IEEE, 2017.10.1109/ICCONS.2017.8250625 Search in Google Scholar

[3] Heng-Tze Cheng, Levent Koc, Jeremiah Harmsen, Tal Shaked, Tushar Chandra, Hrishi Aradhye, Glen Anderson, Greg Corrado, Wei Chai, Mustafa Ispir, et al. Wide & deep learning for recommender systems. In Proceedings of the 1st workshop on deep learning for recommender systems, pages 7–10, 2016.10.1145/2988450.2988454 Search in Google Scholar

[4] Fuhu Deng, Panlong Ren, Zhen Qin, Gu Huang, and Zhiguang Qin. Leveraging image visual features in content-based recommender system. Scientific Programming, 2018, 2018.10.1155/2018/5497070 Search in Google Scholar

[5] Narges Yarahmadi Gharaei, Chitra Dadkhah, and Lorence Daryoush. Content-based clothing recommender system using deep neural network. In 2021 26th International Computer Conference, Computer Society of Iran (CSICC), pages 1–6. IEEE, 2021.10.1109/CSICC52343.2021.9420544 Search in Google Scholar

[6] Rafał Grycuk, Rafał Scherer, Alina Marchlewska, and Christian Napoli. Semantic hashing for fast solar magnetogram retrieval. Journal of Artificial Intelligence and Soft Computing Research, 12(4):299–306, 2022.10.2478/jaiscr-2022-0020 Search in Google Scholar

[7] Rafał Grycuk, Adam Wojciechowski, Wei Wei, and Agnieszka Siwocha. Detecting visual objects by edge crawling. Journal of Artificial Intelligence and Soft Computing Research, 10, 2020.10.2478/jaiscr-2020-0015 Search in Google Scholar

[8] Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, and Qing He. A survey on knowledge graph-based recommender systems. IEEE Transactions on Knowledge and Data Engineering, 2020. Search in Google Scholar

[9] Yun-Rou Lin, Wei-Hsiang Su, Chub-Hsien Lin, Bing-Fei Wu, Chang-Hong Lin, Hsin-Yeh Yang, and Ming-Yen Chen. Clothing recommendation system based on visual information analytics. In 2019 International Automatic Control Conference (CACS), pages 1–6. IEEE, 2019. Search in Google Scholar

[10] Hung-Cuong Nguyen, Thi-Hao Nguyen, Jakub Nowak, Aleksander Byrski, Agnieszka Siwocha, and Van-Hung Le. Combined yolov5 and hrnet for high accuracy 2d keypoint and human pose estimation. Journal of Artificial Intelligence and Soft Computing Research, 12(4):281–298, 2022.10.2478/jaiscr-2022-0019 Search in Google Scholar

[11] Mirosław Pawlak, Gurmukh Singh Panesar, and Marcin Korytkowski. A novel method for invariant image reconstruction. Journal of Artificial Intelligence and Soft Computing Research, 11:69–80, 2021.10.2478/jaiscr-2021-0005 Search in Google Scholar

[12] Tomasz Rutkowski, Krystian Łapa, Maciej Jaworski, Radosław Nielek, and Danuta Rutkowska. On explainable flexible fuzzy recommender and its performance evaluation using the akaike information criterion. In International Conference on Neural Information Processing, pages 717–724. Springer, 2019.10.1007/978-3-030-36808-1_78 Search in Google Scholar

[13] Jost Tobias Springenberg, Alexey Dosovitskiy, Thomas Brox, and Martin Riedmiller. Striving for simplicity: The all convolutional net. arXiv preprint arXiv:1412.6806, 2014. Search in Google Scholar

[14] Marko Tkalcic, Matevz Kunaver, Jurij Tasic, and Andrej Košir. Personality based user similarity measure for a collaborative recommender system. In Proceedings of the 5th Workshop on Emotion in Human-Computer Interaction-Real world challenges, pages 30–37, 2009. Search in Google Scholar

[15] Shoujin Wang, Longbing Cao, Yan Wang, Quan Z Sheng, Mehmet A Orgun, and Defu Lian. A survey on session-based recommender systems. ACM Computing Surveys (CSUR), 54(7):1–38, 2021.10.1145/3465401 Search in Google Scholar

[16] Michał Wróbel, Janusz T. Starczewski, Justyna Fijałkowska, Agnieszka Siwocha, and Christian Napoli. Handwritten word recognition using fuzzy matching degrees. Journal of Artificial Intelligence and Soft Computing Research, 11(3):229–242, 2021.10.2478/jaiscr-2021-0014 Search in Google Scholar

[17] Shiwen Wu, Fei Sun, Wentao Zhang, and Bin Cui. Graph neural networks in recommender systems: a survey. arXiv preprint arXiv:2011.02260, 2020. Search in Google Scholar

[18] Zeyad Safaa Younus, Dzulkifli Mohamad, Tanzila Saba, Mohammed Hazim Alkawaz, Amjad Rehman, Mznah Al-Rodhaan, and Abdullah Al-Dhelaan. Content-based image retrieval using pso and k-means clustering algorithm. Arabian Journal of Geosciences, 8(8):6211–6224, 2015.10.1007/s12517-014-1584-7 Search in Google Scholar