Using Clustering Techniques with Weighted Interest-Items to Fine Adaptive Recommendation of Borrowing Books
碩士 === 南台科技大學 === 資訊管理系 === 100 === In the past, there were few people who used the resources of libraries actively, therefore the abundant resources wasn’t taken advantage by most people. With the rapid development of technology, libraries can store every readers’ borrowing records in a database, a...
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| Format: | Others |
| Language: | zh-TW |
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| Online Access: | http://ndltd.ncl.edu.tw/handle/71342466108012155098 |