0% Complete
صفحه اصلی
/
سی و سومین کنفرانس بین المللی مهندسی برق
A novel approach for recommender systems based on query likelihood and sentiment analysis
نویسندگان :
Mohammadreza Soltaninezhad
1
Alireza Basiri
2
1- دانشگاه صنعتی اصفهان
2- دانشگاه صنعتی اصفهان
کلمات کلیدی :
Recommender System،Collaborative Filtering،Query Likelihood Model،Sentiment Analysis
چکیده :
Collaborative Filtering, a widely used approach in recommendation systems, frequently encounters significant limitations, including its incapacity to analyze textual material, sensitivity to sparse datasets, and challenges in understanding complex user preferences. To address these challenges, this paper introduces a novel methodology that leverages Query Likelihood Models and Sentiment Analysis to enhance recommendation accuracy. Query likelihood provides a probabilistic framework for modeling user preferences as queries and item reviews as documents, offering a way to combine textual data in the recommendation process. Sentiment analysis improves performance by quantifying the sentiment of review texts, weighting key words based on their significance to user contentment. Sentiment scores are obtained using a Bi-LSTM sentiment analysis model and incorporated into the QLM framework. The system considers sentiment-weighted keywords extracted from user reviews as user queries and builds item documents by aggregating their related reviews. These sentiment scores assist in modifying the log-likelihood calculations, which are then normalized and scaled to predict final ratings. We use the Amazon Food Reviews dataset for evaluations; our experiment results indicate that the novel proposed model, which is a combination of the query likelihood model with sentiment-weighted keywords and traditional collaborative filtering, outperformed the traditional collaborative filtering model across nearly all evaluation metrics. Thus, the proposed method offers a scalable and interpretable framework for improving the accuracy of Recommendation Systems.
لیست مقالات
لیست مقالات بایگانی شده
Design and Application of a Five-Level Cross-Switched Inverter in Low-Voltage Distribution System Voltage Compensation
Mohammad Farhadi-kangarlu - Yousef Neyshabouri - Asra Sotudeh
Decoding Trait: Using Dual Transformers to Analyze Gender, Age Range and Personality
ُSaeed Asadian - Mostafa Tanasan - Bijan Vosoughi vahdat
A New Approch on Condition Assessment of MV Switchgear based on Thermal Evaluation
Mohsen Taghizadeh Kejani - Seyed Hamid Khalkhali - Ali asghar RaziKazemi
Compare of Machine Learning and Deep Learning Approaches for Human Activity Recognition
Babak Moradi - Mohammad Aghapour - Afshin Shirbandi
تشخیص حالت عادی و غیرعادی شبکه برق هوشمند با استفاده از شبکه عصبی مصنوعی
محمد گنج خانی - علی عباسپورطهرانی فرد - سجاد فتاحیان دهکردی - محمد غلامی
Bit Error Rate Analysis for a Mixed Underwater OWC-FSO Relaying System in the Presence of Pointing Error
Mahdis Saghaee Jahed - Meysam Ghanbari - Seyed Mohammad Sajad Sadough
Forged Channel: A Breakthrough Approach for Accurate Parkinson's Disease Classification using Leave-One-Subject-Out Cross-Validation
SeyedAmirReza Hamidi - Kamal Mohamed-Pour - Mohammad Yousefi
Improved Spectral Efficiency of RIS-aided 6G Communication using Deep Learning
Zahra Zahedi - Mehrdad Ardebilipur - Fatemeh Dehrouye
Flexibility Assessment of Virtual Power Plant with Considering Dispatchable Wind Turbine
Mahdi Rahimi - Fatemeh Jahanbani Ardakani - Ali Reza Rahimi
A 5kW Bidirectional Isolated On-Board EV Battery Charger Using Hybrid PFC/Inverter
Amir Hossein Dabbagh - Hamed Arvani - Ebrahim Afjei
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.0.4