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2003-2021 全部
为您找到包含“用户建模”的内容共7

Sun Zheng Xing,Wang Qiang,Yin Jian Feng

In this paper, we have exploited an original principle of the incremental online sketchy shapes recognition. The recognition process is based on two aspects: the dynamic user modeling and relevance feedback. Firstly, we adopt an dynamic user modeling way to build user models for each specific user in an incremental decision tree and recognize dynamically the ‘possible shapes’ by means of fuzzy matching based on the visiting frequency of each recorded shape of user models. Secondly, we make attempt to bring relevance feedback method into the incremental sketchy recognition to to capture users’ input intends and refine the recognition results incrementally. Experiments prove the proposed method both effective and efficient.

2004-05-18

国家自然科学基金(69903006+60373065

Nanjing University,Nanjing University,Nanjing University

#Mechanics#

Yin Jian Feng,Sun Zheng Xing

In this paper, we present a multi-strokes sketchy graphics recognition method, which make user of temporal information of sketching. The main idea includes two aspects: temporal-based stroke segmentation and temporal-based user modeling. The former means that the input stroke is emendated into primitive shapes such as lines, arcs, circles and ellipses, etc., based on pen speed and stroke curvature. The later indicates that a users’ sketching model are constructed and adjusted dynamically based on temporal order of primitive shapes. The experiments have proved the high efficiency.

2004-05-20

国家自然科学基金(69903006+60373065

Nanjing University,Nanjing Univeristy

#Mechanics#

0评论(0 分享(0)

李传辉

2011-01-05

用户群体分析利用了单用户网络行为分析的结果,首先,用户群网络分析模块对单个用户所得到的抽样数据进行处理,构建基本用户模型。用户模型包含描述用户历史访问网页的抽样结果,历史访问时间的抽样结果,历史使用业务类型的抽样结果等。通过归一化方法,将用户映射到多维空间上,再使用蚁群聚类的方法,将行为相似的用户化为子网络,同时得出该子网络的代表信息。

北京邮电大学信息与通信工程学院

#电子、通信与自动控制技术#

0评论(0 分享(0)

任晓丽,刘鲁

2007-12-19

在网络和电子商务环境下,推荐系统得到了广泛的应用。本文研究推荐系统的理论、方法、技术、评价和应用问题,在分析目前国内外推荐系统的理论研究和应用现状的基础上,从用户信息收集和用户建模、个性化推荐算法

教育部博士点基金(20040006023

北京航空航天大学经济管理学院,北京航空航天大学经济管理学院

#信息科学与系统科学#

0评论(0 分享(1)

Sun Zheng Xing,Peng Bin Bin

Adaptation is a critical problem in the design of user-centered human-computer interaction systems. In this paper, an SVM-based incremental learning algorithm is presented to solve this problem for sketch recognition, the goal of which is to achieve adaptive sketch recognition. Our algorithm utilizes only the support vectors instead of all the historical samples, and selects some important samples from all newly added samples as training data. The importance of a sample is measured according to its distance to the hyper-plane of the SVM classifier. Theoretical analysis, experimentation, and evaluation of our algorithm in our on-line graphics recognition system are presented to show the effectiveness of this algorithm. According to our experiments, this algorithm can reduce both the training time and the required storage space for the training dataset to a large extent with very little loss of precision.

2004-05-17

国家自然科学基金(69903006,60373065

Nanjing University,Nanjing University

#Mechanics#

0评论(0 分享(0)