tsta

فارسی

Home / دومین کنفرانس ملی عصر انفجار تکنولوژی؛ هوش مصنوعی، تحولی در صنعت، تجارت و زنجیره تامین و دومین کنفرانس ملی علم داده در کاربردهای مهندسی

A Comprehensive Review of Deep Learning Integration in Recommender Systems: Taxonomy, Challenges, and Future Directions

Authors :

Saba Kheirkhah Kheirabadi¹ Dr. Azita Shirazipour² Dr.Seyed Javad Mirabedini³

1- Department of Computer, CT.C., Islamic Azad University, Tehran, Iran 2- Department of Computer, CT.C., Islamic Azad University, Tehran, Iran 3- Department of Computer, CT.C., Islamic Azad University, Tehran, Iran

Keywords :

Deep Learning،Recommender Systems،Graph Neural Networks،AutoML،Contrastive Learning،Personalization،Fairness،Federated Learning،LLMs،Multi-Modal Fusion

Abstract :

The integration of deep learning (DL) into recommender systems (RS) has significantly reshaped how personalized content is generated and delivered across diverse domains. Traditional recommendations such as collaborative filtering and content-based filtering struggle to cope with the increasing complexity, diversity, and sparsity inherent in modern user-item data. DL techniques, however, can learn rich, non-linear mappings from multi-modal and large-scale data inputs. This is a comprehensive survey that synthesizes the outcome of 40 peer-reviewed papers published in the time period 2023–2025 to provide a fine-level taxonomy of DL architectures like CNNs, RNNs, Transformers, GNNs, and Autoencoders with multimodal and hybrid architectures. We categorize and compare and contrast these models in terms of methodology, application area (e.g., healthcare, academia, streaming media, e-commerce), and key challenge areas like cold-start, scalability, interpretability, and fairness. Furthermore, this paper advocates for an integrated pipeline through AutoML, federated learning, and pretraining with contrast to overcome the barriers related to personalization, privacy, and versatility. Through state-of-the-art model benchmarking and future trends such as LLM-based personalization and ethics-aware design, this survey not only recapitulates latest progress but also charts the future direction to the next generation of trustworthy and intelligent recommender systems.

Papers List

List of archived papers

بررسی رابطه مدیریت سرمایه در گردش با عملکرد مالی در بورس اوراق بهادار تهران

علی مبارکی

Development of a spiral microfluidic platform for predicting reduced mechanical damage in oocyte denudation

Ehsan Nabati - Maryam Saadatmand

Natural Language Processing and Speech Processing Integration: Toward A Point-of-Care Framework for Early Detection of Alzheimer’s Disease

Aslan Modir - Fatemeh Shalchizadeh - Armin Ghasimi - Sina Shamekhi

In Silico Evaluation of PAMAM Dendrimers as Nanocarriers for Targeted Carmustine Delivery in Glioma Therapy

Noora Shaerzadeh - Maryam Azimzadeh Irani - Yeganeh Abbasian

تأثیر تنوع در ترکیب اعضای هیئت مدیره بر کارایی سرمایه گذاری

محسن بزرگی

تاثیر دارایی‌های نامشهود بر ارزش بازار شرکت‌؛ مطالعه موردی شرکت های صنایع شیمیایی بورس اوراق بهادار تهران

محمدرضا پژوهی

مسئولیت پذیری اجتماعی شرکت : بررسی و ترکیب نظریه ها

رعنا شهدآور - علی دلجوان اکبری - محمد زکی لو

Digital Technology and Supply Chain Transformation: A Qualitative and Analytical Approach

Elnaz Shakerifar

تحلیل پارامترهای کلیدی مؤثر در شکست پچ چسبنده ترمیمی تاندون روتاتورکاف با مدل‌سازی اجزای محدود

شقایق راست قلم - آزاده قوچانی - محسن صراف بید آباد

Recovery of Hand Motor Function in Children with ‎Hemiparetic Cerebral Palsy using an Interactive ‎Computer Game Combined with Mechanoreceptor ‎Stimulation: A Pilot Study

Mobina Ramezani - Shahed Salehzehi - Parisa Hosseini - Zahra Alizadeh Sarborj - Ghazal Mohammadzadeh - Hamid Reza Kobravi - Narges Hashemi - Mehran Beiraghi Toosi - Javad Akhondian

Samin Hamayesh - Version 42.4.1