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All Journal International Journal of Industrial Optimization (IJIO) International Journal of Chinese Interdisciplinary Studies
Li, Mingyue
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Arts Humanities Decision Sciences, Operations Research & Management Education Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences

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Advancements in recommender systems: a comprehensive analysis based on data, algorithms, and evaluation Ma, Xin; Li, Mingyue; Liu, Xuguang
International Journal of Industrial Optimization Vol. 6 No. 1 (2025)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijio.v6i1.11107

Abstract

Systematic review and analysis of recommender systems (RSs) in emerging technologies, new scenarios, and diverse user needs are essential for understanding their development, strengthening research, and ensuring sustainability. Using 286 research papers from major databases, this study adopts a systematic review approach to summarize current challenges and future directions in RSs related to data, algorithms, and evaluation. Five key research topics emerge: algorithmic improvement, domain applications, user behavior & cognition, data processing & modeling, and social impact & ethics. Collaborative filtering and hybrid techniques dominate, but RS performance is constrained by eight data issues, twelve algorithmic issues, and two evaluation issues. Major challenges include cold start, data sparsity, data poisoning, interest drift, device-cloud collaboration, non-causal driven models, multitask conflicts, offline data leakage, and multi-objective balancing. Potential solutions include integrating physiological signals for multimodal modeling, mitigating data poisoning via user behavior analysis, evaluating generative recommendations through social experiments, fine-tuning pre-trained models for device-cloud resource allocation, enhancing causal inference with deep reinforcement learning, training multi-task models using probability distributions, implementing cross-temporal dataset partitioning, and evaluating RS objectives across the full lifecycle. The reviewed literature is sourced from major international databases, with future research aiming for broader exploration.
Psychoanalytic Study of Carl Gustav Jung: Persona in the Character Tang Xin in the Drama “Nǐ Hǎo, Shénqiāngshǒu” Episodes 1-15 by Lian Mu Chu Guang Li, Mingyue; Krisyani, Josephine Kezia; Herianto, Danton Nabilla Putri; Azkiyah, Niswatun Solihatul
International Journal of Chinese Interdisciplinary Studies Vol. 1 No. 1 (2023): IJCIS
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/ijcis.v1i1.25238

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Abstract: Persona is a special intellectual property of Jung. According to him, Persona is a social and psychological construction with a specific purpose. Persona is a mask that can be worn by anyone. Carl Jung chose this mask to see how a person plays a role in representing social and cultural stereotypes, instead of accepting oneself. Persona is a mask that someone shows to display another side of themselves so that they can be accepted by society. Nowadays, it is often found in society that individuals show another side of themselves. There are reasons behind all of that, why someone uses their mask. Sometimes, someone uses it for good reasons, but there are also those who use their mask for less desirable reasons. This research uses a descriptive qualitative method, in which the understanding of Persona based on Carl Gustav Jung's theory in explaining another side of a person is described and presented. It also uses the method of reading and watching the drama 'Hello, The Sharpshooter'.
Co-Authors Azkiyah, Niswatun Solihatul Herianto, Danton Nabilla Putri Krisyani, Josephine Kezia Liu, Xuguang Ma, Xin