This thesis is to describe many models involved in the personalized search, including user interest model, classic filtering model and search model.
本论文详细分析了个性化搜索技术涉及到的各种模型，包括用户兴趣模型、传统过滤模型和搜索模型。
The efficiency of recommendation system which is based on user interest model is particularly important for the goal of better quality of the recommendation.
为了对用户提供更优质的推荐，基于用户兴趣模型的推荐系统的效率显得尤为重要。
Therefore, how to establish high quality user interest model, and use it to optimize the query results is a research subject with practical application value.
因此，如何建立高质量的用户兴趣模型，并将其应用于查询结果的优化，是一项具有实际应用价值的研究课题。
To embody the relations between terms and provide a better personalized service for the (user,) the idea of constructing the user interest model under the semantic network is proposed.
为了体现词条之间的关系，更好地为用户提供个性化服务，提出了在语义网络下对用户兴趣建模的思想。
Based on the research of user interest model, the feature of weibo user will be analyzed according to the weibo data collection, detection algorithm of weibo user interest model will be proposed.
本文在综合兴趣模型研究现状的基础上，结合微博数据集对微博用户的特征进行分析，建立微博用户兴趣模型，并提出基于微博用户兴趣模型的发现算法。
User's interest model is the key in personal information technology and can provide information service for net user to obtain user's interest.
兴趣模型是个性化信息技术中的关键问题，有效地获取用户兴趣信息，能更好地为网络用户提供信息服务。
According to the users navigation history and the concept relations living in the HowNet, a user interest forest model based on the relative relations of concepts is constructed.
根据用户的访问历史，利用知网建立基于概念关系的用户兴趣森林模型。
We set up document feature vectors and user interest vector, and do their correlation calculation by using vector space model, finally return the interested results for the user.
分别构建文档特征向量和用户兴趣向量，运用向量空间模型对其做相关性计算，返回用户感兴趣的检索结果。
At present, user modeling has some shortcomings such as lack of semantic in user model representation, difficulty in user interest acquisition and user model evolution.
但是，目前的用户建模技术普遍存在模型表示缺乏语义、兴趣获取困难和模型难以进化等缺点。
Feature interest measure is introduced in the hybrid user model, which can reflect the degree of feature preference of users and obtain more accurate similarity between target user and the neighbors.
混合用户模型引入的特征兴趣度，反映了用户对特征的偏好程度，在计算用户之间相似度时更为准确。
Feature interest measure is introduced in the hybrid user model, which can reflect the degree of feature preference of users and obtain more accurate similarity between target user and the neighbors.
混合用户模型引入的特征兴趣度，反映了用户对特征的偏好程度，在计算用户之间相似度时更为准确。
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