Personalized Book Recommendation Algorithm Based on Multi-feature
Liang Zheng-you · Jisuanji gongcheng · 2012
To address the problem of recommendation algorithm computing readers similarity or books similarity with low accuracy and recommendation quality,Personalized recommendation algorithm based on multi-feature is proposed.It computes books similarity based on Chinese library classification method and books feature vector,computes readers similarity based on readers feature vector and borrow records.Based on this,two prediction results are produced.The last recommendation is produced to readers by weight of this two prediction results.Experimental result shows that the proposed algorithm achieves more recommendation accuracy on books.