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題 名 | 利用資料探勘技術發掘圖書館個人化之書籍推薦=Using Data Mining Techniques to Find Personalized Book Recommendations for Library |
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作 者 | 陳垂呈; 陳宗義; | 書刊名 | 資訊科學應用期刊 |
卷 期 | 5:1 2009.06[民98.06] |
頁 次 | 頁95-110 |
分類號 | 023.6 |
關鍵詞 | 資料探勘; 關聯規則; 借閱資料; 個人化書籍推薦; Association rules; Borrowing history records; Personalized book recommendations; |
語 文 | 中文(Chinese) |
中文摘要 | 本論文以讀者之借閱資料為探勘的資料來源,每一筆借閱資料包含讀者曾經借閱過的書籍,並以某一讀者為探勘的目標,利用關聯規則(association rules)分別從以下兩方面發掘讀者個人化的書籍推薦:一是只考量書籍是否出現在借閱資料中,文中設計一個探勘關聯規則的方法,且探勘出之關聯規則的前置項目組,必須被包含於此讀者的借閱資料中,根據關聯規則所顯示出的特徵,可發掘此讀者適性化的書籍推薦;二是考量在借閱資料中讀者對曾經借閱過之書籍的次序性,文中設計一個探勘包含借閱次序之關聯規則的方法,且關聯規則的前置項目組,必須被包含於此讀者的借閱資料中,根據包含借閱次序之關聯規則所顯示出的特徵,可發掘具有借閱次序之此讀者適性化的書籍推薦。根據所提出的兩個方法,我們設計與建構一個讀者適性化書籍推薦的探勘系統。此探勘結果,對於圖書館在發掘讀者個人化書籍推薦時,可以提供非常有用的參考資訊。 |
英文摘要 | This paper uses readers’ borrowing history records to be as the source data of mining, and each borrowing history record contains a reader ever borrowed books. We let one reader as the target of mining, and use association rules to find personalized book recommendations for the reader from two aspects. One is to consider whether books in the reader’s borrowing history record or not, and develop a method to mine association rules whose antecedents are contained in the borrowing history record. According to the characteristics of the association rules, we can find the adaptive book recommendations for the reader. The other is to consider the sequences of borrowing books, and develop a method to mine association rules with sequences whose antecedents are contained in the borrowing history record. According to the characteristics of the association rules with sequences, we can find the adaptive book recommendations for the reader. A mining system is designed and constructed for finding adaptive book recommendations for one reader according to the both methods. The results of the mining can provide very useful information to plan personalized book recommendations for library. |
本系統中英文摘要資訊取自各篇刊載內容。