中国农学通报
中國農學通報
중국농학통보
CHINESE AGRICULTURAL SCIENCE BULLETIN
2013年
11期
101-106
,共6页
陈玉峰%张红燕%敬松%谢元瑰%隆珂
陳玉峰%張紅燕%敬鬆%謝元瑰%隆珂
진옥봉%장홍연%경송%사원괴%륭가
层次结构%农民工%就业%特征模型%个性化推荐
層次結構%農民工%就業%特徵模型%箇性化推薦
층차결구%농민공%취업%특정모형%개성화추천
hierarchical structure%migrant workers%employment%characteristics model%personalized recommendation
为了更有效地为农民工提供个性化就业推荐信息,促进农村剩余劳动力转移。通过采用层次结构表示方法融合决策树模型和向量空间模型,分析了农民工就业个性化推送服务的特点,并将农民工的基本信息特征与其网络上求职的操作特征有机结合,建立农民工就业特征模型。实证结果表明,该模型能够更好地对农民工的就业特征进行表示,提高就业推荐准确率。
為瞭更有效地為農民工提供箇性化就業推薦信息,促進農村剩餘勞動力轉移。通過採用層次結構錶示方法融閤決策樹模型和嚮量空間模型,分析瞭農民工就業箇性化推送服務的特點,併將農民工的基本信息特徵與其網絡上求職的操作特徵有機結閤,建立農民工就業特徵模型。實證結果錶明,該模型能夠更好地對農民工的就業特徵進行錶示,提高就業推薦準確率。
위료경유효지위농민공제공개성화취업추천신식,촉진농촌잉여노동력전이。통과채용층차결구표시방법융합결책수모형화향량공간모형,분석료농민공취업개성화추송복무적특점,병장농민공적기본신식특정여기망락상구직적조작특정유궤결합,건립농민공취업특정모형。실증결과표명,해모형능구경호지대농민공적취업특정진행표시,제고취업추천준학솔。
To provide employment recommendation information for migrant workers more specific and promote the transfer of rural surplus labor, we integrate the decision tree model and vector space model into hierarchical structure representation method, analyze the characteristics of personalized employment recommendation service for migrant workers, combine the basic characteristics of the migrant workers with their concrete operation for job wanted on the network, then establish an employment characteristics model for migrant workers. The results showed that, the model could represent the employment characteristics of the migrant workers more effectively than existing models, so as to improve the recommendation accuracy for the employment of the migrant workers.To provide employment recommendation information for migrant workers more specific and promote the transfer of rural surplus labor, we integrate the decision tree model and vector space model into hierarchical structure representation method, analyze the characteristics of personalized employment recommendation service for migrant workers, combine the basic characteristics of the migrant workers with their concrete operation for job wanted on the network, then establish an employment characteristics model for migrant workers. The results showed that, the model could represent the employment characteristics of the migrant workers more effectively than existing models, so as to improve the recommendation accuracy for the employment of the migrant workers.