计算机工程与设计
計算機工程與設計
계산궤공정여설계
COMPUTER ENGINEERING AND DESIGN
2010年
5期
1042-1044,1107
,共4页
协同过滤%自适应人工免疫网络%推荐系统%稀疏性%可扩展性
協同過濾%自適應人工免疫網絡%推薦繫統%稀疏性%可擴展性
협동과려%자괄응인공면역망락%추천계통%희소성%가확전성
collaborative filtering%adaptive artificial immune network%recommender system%sparsity%scalability
为解决协同过滤技术中存在的稀疏性、可扩展性问题,提出了一种基于自适应人工免疫网络的协同过滤算法.该算法将协同过滤推荐技术与自适应人工免疫网络相结合,利用人工免疫网络自身的克隆变异机制产生隐式评价来降低数据稀疏性,利用克隆抑制、网络抑制机制减少数据维度来提高可扩展性.实验结果表明,该算法提高了推荐精度,具有一定的实际意义.
為解決協同過濾技術中存在的稀疏性、可擴展性問題,提齣瞭一種基于自適應人工免疫網絡的協同過濾算法.該算法將協同過濾推薦技術與自適應人工免疫網絡相結閤,利用人工免疫網絡自身的剋隆變異機製產生隱式評價來降低數據稀疏性,利用剋隆抑製、網絡抑製機製減少數據維度來提高可擴展性.實驗結果錶明,該算法提高瞭推薦精度,具有一定的實際意義.
위해결협동과려기술중존재적희소성、가확전성문제,제출료일충기우자괄응인공면역망락적협동과려산법.해산법장협동과려추천기술여자괄응인공면역망락상결합,이용인공면역망락자신적극륭변이궤제산생은식평개래강저수거희소성,이용극륭억제、망락억제궤제감소수거유도래제고가확전성.실험결과표명,해산법제고료추천정도,구유일정적실제의의.
To deal with the problems of data sparsity and scalability which exist in the collaborative filtering technology, a new collaborative filtering algorithm based on adaptive artificial immune network is presented. The collaborative filtering technology and adaptive artificial immune network are combined so that the algorithm can take the advantage of the colne and mutation of the artificial immune network to generate implicit ratings to reduce the data sparsity and use the clone suppression and network suppression to reduce the data dimension to improve scalability. The experimental results show that the algorithm improve the recommend accuracy and have some practical significance.
