Katalog
| No. Katalog | Katalog | Subjek | Actions |
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25.04.3179 |
Word2Vec-Based Facial Serum Recommender System - Dalam bentuk buku karya ilmiah tersedia 1 koleksi total 1 koleksi |
RECOMMENDER SYSTEMS
The beauty industry, especially skincare, has grown rapidly with a large selection of products with various compositions for various skin types. Through the variety of ingredients in skincare products, it..selengkapnya..
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25.04.3180 |
Prediksi Kesiapan Kerja Mahasiswa Menggunakan Artificial Neural Network dan Decision Tree - Dalam bentuk pengganti sidang - Artikel Jurnal tersedia 1 koleksi total 1 koleksi |
MACHINE LEARNING
The readiness of students for the workforce is a critical metric in evaluating the quality of higher education. Forecasting students' work readiness before their entrance into the industry calls for..selengkapnya..
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25.04.3181 |
A Hybrid Culinary Recommender System Using Slope One and ICHM (Case Study: Greater Jakarta Metropolitan Area) - Dalam bentuk buku karya ilmiah tersedia 1 koleksi total 1 koleksi |
RECOMMENDER SYSTEMS
The rapid growth of the culinary industry in the Greater Jakarta Metropolitan Area has created a need for a recommender system that can adjust user preferences both personally and contextually...selengkapnya..
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25.04.3182 |
TimeSVD++-Based Movie Recommendation Model by Considering Temporal Changes in User Interests - Dalam bentuk buku karya ilmiah tersedia 1 koleksi total 1 koleksi |
RECOMMENDER SYSTEMS
Recommender systems play a crucial role in guiding users through large volumes of digital content by tailoring suggestions based on individual preferences. However, many collaborative filtering methods assume that user..selengkapnya..
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25.04.3183 |
Detecting Suicide Ideation in Social Media: Twitter Analysis with CNN-BiLSTM and Comparative Study of GloVe Embedding Variants - Dalam bentuk buku karya ilmiah tersedia 1 koleksi total 1 koleksi tersedia 1 file download |
TUGAS AKHIR
Suicide poses a serious mental health concern, especially as many individuals increasingly turn to social media platform to express their emotional distress. In this study, a deep learning method for..selengkapnya..
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25.04.3184 |
Facilities-Based Boarding House Recommendation Using Word2Vec and Cosine Similarity - Dalam bentuk buku karya ilmiah tersedia 1 koleksi total 1 koleksi |
RECOMMENDER SYSTEMS
The increasing number of new students and workers migrating to other cities has led to a growing need for temporary housing, particularly boarding houses. This condition highlights the need for..selengkapnya..
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25.04.3185 |
Video Game Hybrid Recommender System Using Sentiment Analysis of User Reviews - Dalam bentuk buku karya ilmiah tersedia 1 koleksi total 1 koleksi |
RECOMMENDER SYSTEMS
The rapid expansion of the video game industry makes it difficult for users to find games that match their preferences. Previous studies have developed recommender systems to assist this process...selengkapnya..
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25.04.3186 |
Tourist Routes Recommender System in Yogyakarta Using K-Means and Simulated Annealing Algorithm - Dalam bentuk pengganti sidang - Artikel Jurnal tersedia 1 koleksi total 1 koleksi |
RECOMMENDER SYSTEMS
Nowadays, traveling seems necessary for individuals to relieve boredom from daily activities and leave a busy routine. In general, tourists take several days to travel and visit places they have..selengkapnya..
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25.04.3187 |
Deep Matrix Factorization for Solving Sparsity Problem in Recommender System - Dalam bentuk buku karya ilmiah tersedia 1 koleksi total 1 koleksi |
RECOMMENDER SYSTEMS
Recommender systems are essential in digital services for helping users find relevant items. One of the main challenges faced by these systems is the problem of sparsity, where limited user-item..selengkapnya..
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25.04.3188 |
Lexicon Sentiment in Suicidal Ideation Detection Using CNN-BiLSTM Method in X - Dalam bentuk pengganti sidang - Artikel Jurnal tersedia 1 koleksi total 1 koleksi tersedia 1 file download |
DEEP LEARNING
Suicidal ideation is a serious global concern linked to mental health issues such as depression, hopelessness, and sadness. Social media platforms like X offer valuable data, as individuals often express..selengkapnya..
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