Search Results - "Tan, Nghia Duong"

Utilizing an Autoencoder-Generated Item Representation in Hybrid Recommendation System by Duong, Tan Nghia, Vuong, Tuan Anh, Nguyen, Duc Minh, Dang, Quang Hieu

“…While collaborative filtering (CF) is the most popular approach for recommendation systems, it only makes use of the ratings given to items by users and…”
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Utilizing Half Convolutional Autoencoder to Generate User and Item Vectors for Initialization in Matrix Factorization by Duong, Tan Nghia, Doan, Nguyen Nam, Do, Truong Giang, Tran, Manh Hoang, Nguyen, Duc Minh, Dang, Quang Hieu

“…Recommendation systems based on convolutional neural network (CNN) have attracted great attention due to their effectiveness in processing unstructured data…”
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A Scalable Recommendation System with Hybrid Similarity Matrix Using Accelerated Particle Swarm Optimization by Duong, Tan Nghia, Cao, Tuan Nghia, Do, Truong Giang, Mai, Tien Dat, Tran, Manh Hoang

“…Collaborative filtering (CF) is one of the most popular recommendation approaches that recommends relevant items to users according to their past interactions…”
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A Novel Autorec-Based Architecture for Recommendation System by Duong, Tan Nghia, Thu Trang Pham, Thi, Tran, Hieu Minh, Pham Quoc, Dung, Nguyen, Hai Dang, Phat Nguyen, Huu, Tran, Hoang Manh

“…In recent years, collaborative filtering systems based on neural networks have strides in delivering users with personalized recommendations. CI-Autorec…”
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A local feature vector for an adaptive hybrid fingerprint matcher by Manh Hoang Tran, Tan Nghia Duong, Duc Minh Nguyen, Quang Hieu Dang

“…In this paper, we introduce a hybrid fingerprint matcher which consists of two stages: local minutiae matching stage and consolidation stage. In the former…”
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An Effective Similarity Measure for Neighborhood-based Collaborative Filtering by Duong, Tan Nghia, Than, Viet Duc, Tran, Trong Hiep, Dang, Quang Hieu, Nguyen, Duc Minh, Pham, Hung Manh

“…Thanks to its successful application in recommendation systems, collaborative filtering (CF) technique has become one of the most popular research topic in…”
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A Practical Solution to the ACM RecSys Challenge 2018 by Duong, Tan Nghia, Than, Viet Duc, Tran, Trong Hiep, Pham, Thi Hong Anh, Nguyen, Van Hoang Anh, Tran, Hoang Nam

“…Cold-start problem, occurring when a new user joins the system, is an important factor that influences the satisfaction of the users. Since the user has no or…”
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A practical synchronization algorithm for IEEE 802.15.4a UWB receivers by Tan Nghia Duong, Minh Tu Hoang, Manh Hoang Tran, Quang Hieu Dang

“…This paper proposes a two-step synchronization algorithm for UWB receivers in accordance with IEEE 802.15.4a standard. A low data rate, low complexity receiver…”
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Proposing the Application of LSTM Models to Create Music by Tan, Nghia Duong, Anh, Bang Nguyen, Thanh, Xuyen Do Bui, Phuc, Lam Nguyen Tan

“…In recent years, artificial intelligence (AI) and more specifically machine learning (ML) have emerged as a demonstration of the 4th industrial revolution. AI…”
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Smart Stick Detecting Obstacles Early Using Random Forest Algorithm by Viet, Thanh Pham, Minh, Bac Nguyen, Van, Tinh Tran, Manh, Hoang Tran, Tan, Nghia Duong, Huu, Phat Nguyen

“…In everyday life, blind people always have to face more difficulty. In modern technology, we can design convenient devices to help them live more easily. This…”
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User-Item Correlation in Hybrid Neighborhood-Based Recommendation System with Synthetic User Data by Duong, Tan Nghia, Do, Truong Giang, Cao, Tuan Nghia, Tran, Manh Hoang

“…Recommendation systems have been widely adopted to help users with the information overload from the large volume of online multimedia content by providing…”
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Designing of System for Monitoring and Forecasting Air Environment Using LSTM Model by Viet, Thanh Pham, Nhat, Thang Tran Dinh, Minh, Quang Nguyen, Van, Tinh Tran, Nguyen, Anh Ha, Gia, Hien Nguyen Vu, Tan, Nghia Duong, Huu, Phat Nguyen

“…In the modern era, the problem of air pollution is becoming increasingly serious, affecting public health and causing significant environmental damage…”
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Hybrid Similarity Matrix in Neighborhood-based Recommendation System by Duong, Tan Nghia, Do, Truong Giang, Doan, Nguyen Nam, Cao, Tuan Nghia, Mai, Tien Dat

“…Modern hybrid recommendation methods have successfully mitigated the data sparsity and cold-start problems. Existing hybrid neighborhood-based models adopt…”
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