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对怀化学院图书馆TP类图书按编目日期统计各年借阅量,依据文献老化定律、最小二乘法曲线拟合求得TP类图书的半衰期及老化曲线,利用TP类图书的老化曲线方程预测其借阅量,提出图书关联规则支持度的老化常数。实验表明:通过关联规则中的support(X)=support(X)×K’方法降低老化图书的关联支持度,减少老化图书相对较弱的强关联规则,解决了原书目推荐系统推荐给读者的书目中有相当一部分图书已失去使用价值的问题。此方法不仅适用于怀化学院图书馆馆藏图书的书目挖掘,对其他高校图书馆也有借鉴价值。
Based on the cataloging date of the TP type books in Huaihua University Library, we can calculate the borrowing amount of each category in the year according to the aging law of the literature and the least squares curve fitting to obtain the half-life and aging curves of the TP-type books and predict the lending by using the aging curve equation of the TP type books Quantity, propose the aging constants of book association rules support. Experiments show that: by supporting (X) = support (X) × K ’method in association rules, it can reduce the association support of aging books and reduce the relatively weak association rules of aging books, and solve the problem that the original bibliographic recommendation system is recommended to readers A considerable part of the bibliography has lost the value of the problem. This method is not only applicable to bibliographic mining of Huaihua University Library, but also has reference value to other university libraries.