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Erliza Hambali
Departemen Teknologi Industri Pertanian, Fakultas Teknologi Pertanian, IPB University, Bogor, Indonesia
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Journal : Journal of Applied Data Sciences

 1 
Development of Skyline Query Algorithm for Individual Preference Recommendation in Streaming Data Amin, Ruhul; Djatna, Taufik; Annisa, Annisa; Sitanggang, Sukaesih
Journal of Applied Data Sciences Vol 6, No 2: MAY 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i2.599

Abstract

The ability of a recommendation system to deliver relevant outcomes is significantly influenced by its adaptability to the dynamic nature of individual user preferences. Data-streaming-based recommendation systems face substantial challenges in aligning recommendations with rapid shifts in user preferences. Previous research on the development of skyline query algorithms has predominantly focused on processing efficiency and parallel performance optimization yet has not addressed the dynamic nature of individual user preferences—an essential factor for generating relevant and responsive recommendations in streaming data environments. This study aims to develop a skyline query algorithm called Distributed Data Skyline (DDSky) to provide recommendations based on dynamic individual user preferences within data-streaming contexts. DDSky leverages the Recency, Frequency, Monetary, and Rating (RFMRT) model to capture real-time changes in user preferences. This model is integrated with parallel skyline computation and structured to enhance the data processing efficiency on a large scale. The parallel processing approach divides tasks into smaller subtasks executed simultaneously across multiple threads. This strategy enables the simultaneous processing of attributes such as price, distance, and individual user preferences, thereby delivering relevant and responsive recommendations to real-time changes in user preferences. The DDSky algorithm was evaluated using a local dataset from the JALITA application and compared with the Eager algorithm. The results demonstrated that DDSky outperformed Eager, achieving an average recall value of 0.45 and an F1-measure of 0.55, compared to Eager's recall value of 0.33 and F1-measure of 0.47. Furthermore, DDSky achieved an average precision of 0.73, which closely approached Eager's precision of 0.82. Additionally, DDSky exhibited optimal throughput performance for datasets containing up to 10,000 items with high flexibility across various data types. With its unique technical approach, DDSky delivers more responsive and relevant recommendations to dynamic user preferences, establishing its superiority in data-streaming-based recommendation systems.
Co-Authors , Sutrisno . Ismiyati . Machfud . MUSLICH . Sucipto A M Fauzi Ade Febransyah Agus Buono Amun Amri Anas Miftah Fauzi Andrianingsih Ani Suryani Ani Suryani Ani Suryani Ani Suryani Ani Suryani Ani Suryani Annisa Annisa Annisa Arif Rakhman Hakim Armansyah H. Tambunan Arum Nur Fitrah Arum Nur Fitrah, Arum Nur Asrol, Muhammad Astried Silvanie Ati Atul Quddus Aulia, Zesma Bagas Ari Wicaksono Baidowi, Taufiq Bambang Hero Saharjo Borneo Satria Pratama Budi Arif Dermawan Dadan Kusdiana Dadang Rukmana Darmono Taniwiryono Darmono Taniwiryono Delfitriani Devy Setyana Ditdit N Utama Djumali Mangunwidjaya Dwi Febriantini Dwi Febriantini, Dwi Dwi Setyaningsih Dwi Setyaningsing Edi Zulchaidir Eka Kurnia, Eka Elisa Anggraeni, Elisa Erni Krisnaningsih Fadhil, Rahmat Fadilla Eka Aulyana FARAH FAHMA Fariz Pari, Rizfi Fatria Resti Haryani Firda Dimawarnita Firda Dimawarnita Firda DIMAWARNITA Firman Ardiansyah Firman Arief Soejana Firzatullah, Raden Muhamad Fitriani Kasim Fitriani Kasim Galih Kurniawan Sidik Galih Kurniawan Sidik Ghiffari, Muhammad Amirul Ghiffari, Muhammad Amirul Gustan Pari Gustan Pari Gustan Pari Habyba, Anik Nur Heru Sukoco Ika Agustin Rusdiana Ika Agustin Rusdiana Ika Amalia Kartika Illah Sailah Imas Sukaesih Sitanggang Ina Siti Hasanah Indah Yuliasih Irawan, Andre Irman Hermadi Irzaman, Irzaman Is Sulistyati Jupikely James Silip Kadarwan Soewardi Kartika Okta Purnama Kartika Okta Purnama Kunaifi Kunaifi M Luqmanul Hakim M. Iwan Fermi M. Syamsul Maarif Machfud Machfud Marimin , Marimin Marimin Maulidayanti, Esti Mega Ma’ruf Pambudi Nurwantara Memen Surahman Miftah Fauzi , Anas Mira Rival Moh. Yani Muh. Yusram Massijaya Muhammad Arif Kamal Mukarramah Lubis Mulyorini Rahayuningsih Muslich . Muslich Muslich, Muslich Naoto Matsue Nasution, Rahmat Wahyudi Nasution, Rahmat Wahyudi Neny Rosmawarni Ni Nyoman Indah Adi Puspita Nurmiati Nurmiati Nurmiati Nurmiati Obie Farobie Paduloh Paduloh Pebriani, Siska Petir Papilo Petir Papilo Pradana, I Gusti Made Teddy Pramestari, Diah Prasetyo Nugroho, Eddy Purnama, Kartika Okta Purwo Subekti Rahmadanis Rahmadanis Rahmadini Payla Juarsa Rina Novia Yanti Riztiara Nurfitri Robbani, Muhammad Haqqiyuddin Rosa, Mutya Ruhul Amin Rusdiana, Ika Agustin Safriyana, Safriyana Sapta Raharja Setyaningsing, Dwi Shafira Nurfadhila Sidik, Galih Kurniawan Simatupang, Yeni Veronika Siska Desri Wirahmi, Busman, Edrizal, Siska Pebriani Sitanggang, Sukaesih Siti Mujdalipah Siti Wardah, Siti Slamet Budijanto Sri Martini Sukardi Sukardi Sukardi Sukardi Syarifuddin Nasution, Syarifuddin Taniwiryono, Darmono Taufik Djatna Teniwut, Wellem Anselmus Tri Panji Tun Tedja I Tun Tedja Irawadi Ummu Farah Fadillah Utomo, Prayudi Utomo, Prayudi Utomo Wiharja Wiharja Wisudawaty, Priska Yandra Arkeman Yani Nurhadryani Yora Faramitha Yora FARAMITHA Yuliani, Manis Z Zulfansyah