Recommender System Based on Statistical Implicative Analysis

QR koda

Recommender System Based on Statistical Implicative Analysis

Chương 1. Tổng quan; Chương 2. Phân lớp độ đo hấp dẫn khách quan theo tham số hàm ý thống kê; Chương 3. Mô hình tư vấn dựa trên chỉ số hàm ý thống kê; ...

Shranjeno v:

Bibliografske podrobnosti
Glavni avtor:	Phan Quốc Nghĩa
Jezik:	eng
Izdano:	Đại học Đà Nẵng
Online dostop:	https://dlib.udn.vn/module/chi-tiet-sach?RecordID=2799
Oznake:	Označite Brez oznak, prvi označite!

Thư viện lưu trữ:	Trung tâm Công nghệ thông tin và Học liệu số, Đại học Đà Nẵng

Podobne knjige/članki

Statistical implicative rating based recommendation using non-binary data

Statistical implicative analysis :
Izdano: (2008)

Statistical Implicative Analysis
od: Gras, Régis, et al.
Izdano: (2020)

Recommendations on tourism statistics
Izdano: (1994)

A RECOMMENDER SYSTEM BASED ON ONE-CLASS CLASSIFICATION
od: Dang, Nhan Cach, et al.
Izdano: (2024)

Evaluation of user-based algorithms used in the recommendation system
od: Lê, Văn Thịnh
Izdano: (2023)

Building A Content-Based Movie Recommendation System
od: Huynh, Tuan Kiet
Izdano: (2025)

Building Diet suggestion application based on Recommendation System
od: Tran, Thi Thanh Xuan
Izdano: (2024)

Building an Smart Learning Application with AI-Based Recommendation System
od: Nguyen, Thanh Nhat, et al.
Izdano: (2025)

Building a Recommendation System For Tourist Destination Website Based on Knowledge Graph
od: Le, Phu Quoc
Izdano: (2025)

Featured Combined Hybrid Recommendation System: Content-based Combined with Matrix Factorization
od: Nguyen Si Thin

Building a social network integrated with content-based recommendation system
od: Le, Xuan Huong
Izdano: (2024)

Reactive multi-agent model for collaborative filtering - Based recommender systems

An Approach Based on Deep Learning that Recommends Fertilizers and Pesticides for Agriculture Recommendation
od: Nguyen, Ha Huy Cuong, et al.
Izdano: (2023)

A study on hybrid recommend system combined sentiment analysis with matrix factorization
od: Nguyen, Vuong Quoc, et al.
Izdano: (2025)

Using Incremental Algorithm in Hybrid Recommender System Combined Sentiment Analysis
od: Nguyen, Si Thin, et al.
Izdano: (2024)

Building a Book Recommendation System
od: Phan, Anh Quoc
Izdano: (2024)

Building A Movie Watching Application Integrated With A Comment-Based Recommendation System
od: Truong, Hoai Sam
Izdano: (2025)

Recommender systems handbook
Izdano: (2011)

Group Recommender Systems
od: Felfernig, Alexander, et al.
Izdano: (2020)

Web Recommendations Systems
od: Venugopal, K. R., et al.
Izdano: (2020)

Recommender Systems Handbook
od: Ricci, Francesco, et al.
Izdano: (2011)

Job Recommendation System
od: Le, Thi Thanh Ha
Izdano: (2023)

Economic Systems Analysis: Statistical Indicators
od: Sibirskaya, Elena V., et al.
Izdano: (2019)

Bookstore Integrated Recommender System
od: Dinh, Quang Linh
Izdano: (2023)

Implementing Efficient Memory-Based Collaborative Filtering Recommendation Systems: Methods for Improving Scalability in Training Phase
od: Ho, Thi Hoang Vy, et al.
Izdano: (2024)

An effective method for clustering-based web service recommendation
od: Nguyen, Ha Huy Cuong, et al.
Izdano: (2022)

Item-based collaborative filtering recommendation model based on similarity matrix of items

A Web-Based Recommender System using Semantic Web and Linked Data for Suggesting Supervisors to Postgraduate Research Students

Research on Product Recommendation System on E-Commerce Website System
od: Hoang, Phan Tuan Kiet
Izdano: (2025)

Hindered gas-phase partitioning of trichloroethylene from aqueous cyclodextrin systems : Implications for treatment and analysis /
od: Kashiyama, N.

Recommender Systems. 1st ed.
od: Aggarwal, Charu C.
Izdano: (2020)

Recommendation System for E- Commerce Website
od: Nguyen, Ngoc Quang, et al.
Izdano: (2023)

Recommendation system for e-commerce website
od: Ho, Nhat Huy
Izdano: (2022)

Building a recommendation system in commerce
od: Ho, Thi Thanh Hung, et al.
Izdano: (2022)

Build E-commerce with Recommendation Systems
od: Ngo, Van Thang
Izdano: (2024)

Building a Music Recommendation Application System
od: Nguyen, Quang Hoang Vu, et al.
Izdano: (2023)

Dynamic matrix factorization-based collaborative filtering in movie recommendation services
od: Luong, Nguyen Vuong, et al.
Izdano: (2025)

Network-Based Analysis of Dynamical Systems
od: Leitold, Dániel, et al.
Izdano: (2020)

AN ANALYSIS OF THE SINGAPOREAN PREPARATION FOR THE FUTURE WORKFORCE AND RECOMMENDATIONS FOR VIETNAM
od: Nguyễn, Thị Hạnh Quyên
Izdano: (2023)