Using Clustering Techniques to Discover the Recommendation Services of Borrowing Books for Libraries
碩士 === 南台科技大學 === 資訊管理系 === 94 === The fast development in economy of cause in recent years, the collected books amount of the library is increasing fast too, find the books which accord with reader's demand in these a large amount of collected books, it is more and more difficult. So, how can...
Main Authors: | Jerry Huang, 黃俊榮 |
---|---|
Other Authors: | 陳垂呈 |
Format: | Others |
Language: | zh-TW |
Published: |
2006
|
Online Access: | http://ndltd.ncl.edu.tw/handle/83041893230825617362 |
Similar Items
-
A Book Borrowing Recommender System for Libraries - Using TKU Library Data
by: Ching-Yu Chen, et al.
Published: (2014) -
Using Clustering Techniques with Weighted Interest-Items to Fine Adaptive Recommendation of Borrowing Books
by: Shih, Wei-Yong, et al.
Published: (101) -
Using Mining Techniques to Build Reader’sBorrowing Communities in LibraryUsing Mining Techniques to Build Reader’sBorrowing Communities in LibraryUsing Mining Techniques to Build Reader’sBorrowing Communities in LibraryUsing Mining Techniques to Build Reader’sBorrowing Communities in LibraryUsing Mining Techniques to Build Reader’sBorrowing Communities in LibraryUsing Mining Techniques to Build Reader's Borrowing Communities in Library
by: TAO-MING HUANG, et al.
Published: (103) -
Using Association Rules to Discover Book Recommendations for Library Readers
by: LIN,TAI-YAN, et al.
Published: (2010) -
Apply Data Mining to the Recommender System of Book Borrowing for Huafan University Library
by: Ping-Kun Hu, et al.
Published: (2016)