| 混合模型的用户兴趣漂移算法 |
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| 引用本文： | 郭新明,戈改珍.混合模型的用户兴趣漂移算法[J].智能系统学报,2010,5(2):181-184. |
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| 作者姓名： | 郭新明 戈改珍 |
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| 作者单位： | 咸阳师范学院信息工程学院,陕西,咸阳,712000 |
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| 基金项目： | 陕西省科技厅自然科学基础研究计划，陕西省教育厅科学研究计划，咸阳师范学院专项科研基金 |
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| 摘 要： | 针对个性化信息服务中的用户兴趣漂移问题,提出了一种新的正态分布密度曲线遗忘函数,该函数符合用户兴趣遗忘的规律.并且将用户模型定义为长期模型和短期模型相结合的混合模型,其中短期模型使用最近最久未使用的滑动窗口算法进行更新,长期模型采用正态渐进遗忘算法进行更新.实验表明,该方法能够较迅速地发现和准确地跟踪用户的兴趣变化,提高了个性化信息服务的效率.
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| 关 键 词： | 个性化 混合模型 兴趣漂移 遗忘函数 |
A hybrid algorithm to track drift of user's interests |
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| GUO Xin-ming,YI Gai-zhen.A hybrid algorithm to track drift of user''s interests[J].CAAL Transactions on Intelligent Systems,2010,5(2):181-184. |
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| Authors: | GUO Xin-ming YI Gai-zhen |
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| Affiliation: | GUO Xin-ming,YI Gai-zhen (School of Information Engineering,Xianyang Normal University,Xianyang 712000,China) |
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| Abstract: | User interests inevitably drift while using a personalized information service.A new forgetting function with normal distribution density was proposed to accommodate drift.The function conformed to a user interest forgetting law.User interest was defined in a hybrid model that contained both long and a short-term components.The short-term component was renewed by using the least recently used algorithm.The long-term component was renewed by using the normal incremental forgetting distribution algorithm.Expe... |
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| Keywords: | personalization hybrid model interest drift forgetting function |
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