臺灣博碩士論文加值系統

每年皆會出版多種多樣化的書籍供圖書館採購。但在預算有限之下，採購人員需要做有效的決策進行採購書籍。由於採購人員採購的書籍無法符合讀者的需求，使得許多圖書館提供圖書推薦服務，讓任何讀者能夠推薦書籍給圖書館進行採購。但是，讀者(即推薦者)推薦採購的書籍(即薦購書籍)有可能只針對自己的興趣或需求，造成書籍購入後無法符合其他讀者的需求。本研究將採用歷史流通記錄建立推薦者與其他讀者的關係形成一個社會網路。在社會網路中，將以社會計算評估推薦者的代表程度作為薦購書籍的排名。最後，本研究以回溯性方法驗證本方法的有效性。由斯皮爾曼相關係數顯示本方法的排名非常接近薦購書籍實際借閱情況及館員對薦購書籍分析的排名。

Due to the explosion of knowledge, many books (or e-books) are published a lot each year, the librarians need to make effective decisions in book acquisition under the limited budget. Since librarians can not fully realize the needs of readers, many libraries provide the book recommendation service such that the readers can recommend the books to the libraries. However, the readers may only recommend the books in accordance with their own interest, resulting in the recommended books not always meeting the needs of other readers. To facilitate decision-making in book acquisition, this paper used the social network to establish the relationships between the recommender and his/her related readers via the historical circulation records. Upon the social network, this paper uses social computing to evaluate the representative degree of the recommender. The representative degree is then used a criterion to rank the recommended books. The retrospective and empirical studies are performed to show the effectiveness of the proposed ranking system. The Spearman’s rank correlation coefficient shows that the ranking of the recommended books by the proposed ranking system is very like the two ranking schemes of these books from the analysis of the historical circulation records and the librarians.

Contents
Abstract I
摘要 II
Contents III
List of Tables IV
List of Figures V
1. Introduction 1
2. Related Work 6
2.1 Decision-making of book acquisition 6
2.2 Social network and social computing 9
3. Method 12
3.1 Importance of books in a category 13
3.2 Strength of a link between a recommender and a reader 25
4. Validation of Proposed Ranking Scheme 35
4.1 Data set and preprocessing 35
4.2 Empirical studies 38
5. Conclusion 48
Reference 49


List of Tables
Table 1. The numbers of readers about three behaviors in the category A 16
Table 2. The numbers of readers about three behaviors in the category B 16
Table 3(a). The numbers of the internal and external readers about three behaviors in the category A 24
Table 3(b). The idle periods about three behaviors for the books 25
Table 3(c). The active periods about three behaviors for the books 25
Table 4. The strengths of the links between the recommender and the related readers in Figure 3 31
Table 5.The policies in book acquisition of NCCU library 38
Table 6. The ranking of the recommended books and their differences among the proposed ranking system, readers’ circulation statistics, and the librarians in the subcategories of language and literature 41
Table 7. The ranking of the recommended books and their differences among the proposed ranking system, readers’ circulation statistics, and the librarians in the subcategory of science 45


List of Figures
Figure 1(a). An egocentric network of the recommender1 for category A 10
Figure 1(b). An egocentric network of the recommender2 for category A 10
Figure 2. The idle and the active periods in the viewpoint of borrowing behavior for three books 19
Figure 3. The egocentric network of recommender CM 27
Figure 4. Three ranking schemes of the proposed ranking system, readers’ circulation statistics, and the librarians in the subcategories of language and literature 43
Figure 5. Three ranking schemes of the proposed ranking system, readers’ circulation statistics, and the librarians in the subcategory of science 46

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