Dissertation/ Thesis
An Improved Method of Processing Sparse Matrix in Collaborative Filtering Recommendation
| العنوان: | An Improved Method of Processing Sparse Matrix in Collaborative Filtering Recommendation |
|---|---|
| Alternate Title: | 一個藉由改善稀疏矩陣處理方式之協同過濾式推薦 |
| المؤلفون: | CHEN,BO-LIANG, 陳柏良 |
| Thesis Advisors: | LI,LI-HUA, 李麗華 |
| سنة النشر: | 2017 |
| المجموعة: | National Digital Library of Theses and Dissertations in Taiwan |
| الوصف: | 105 As the development and usage of Internet keeps growing, the sheer volume of data on the Internet makes it difficult for user to handle. As a result, users must deal with the information overloading problem. Even when the amount of data keeps booming such as hundreds of products, thousands of books, however, the amount of transactions for each product item will still be similar. Therefore, the transaction data among thousands of items and thousands of uses may form the sparse matrix. For collaborative filtering recommendation, there are many researchers proposing great methodologies to handle user-item-matrix dataset, however, not many researchers deal with the performance of sparse matrix problem. This is the reason why this research proposes a novel solution for collaborative filtering recommendation. The proposed method has compared to the traditional Pearson Correlation Coefficient method, Euclidean Distance, Jaccard index and the results show that our proposed method is better in terms of time efficient and precision. |
| Original Identifier: | 105CYUT0396023 |
| نوع الوثيقة: | 學位論文 ; thesis |
| وصف الملف: | 49 |
| الاتاحة: | http://ndltd.ncl.edu.tw/handle/j99g93 |
| رقم الانضمام: | edsndl.TW.105CYUT0396023 |
| قاعدة البيانات: | Networked Digital Library of Theses & Dissertations |
| الوصف غير متاح. |