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1. 发明申请

WO2018102764A1 PAGE INFORMATION PERSONALIZATION METHOD, APPARATUS AND SYSTEM 审中-公开
公开(公告)号：WO2018102764A1
公开(公告)日：2018-06-07
申请号：PCT/US2017/064333
申请日：2017-12-01
申请人： ALIBABA GROUP HOLDING LIMITED
发明人： WANG, Yuefei , CHEN, Xi , GUO, Yanming
IPC分类号： G06F3/00
CPC分类号： G06F3/0484 , G06F16/958 , H04L67/306
摘要： A method, an apparatus and a system of page information personalization are disclosed. The method includes receiving personalized configuration information of a target page after operations of target page construction and data placement are completed, the personalized configuration information including a target information dimension related to the target page when a personalized processing is performed; and adding the personalized configuration information into the target page when the target page is published, to enable a first client page rendering component to obtain page published information of the target page after receiving a request for accessing the target page, determine a user identifier of a visiting user, extract the personalized configuration information from the page published information, determine personalized preference information of the user based on the user identifier, and arrange resources in the target page and rendering the target page based on the personalized preference information and the personalized configuration information.

2. 发明申请

WO2015089065A1 DATA SEARCH PROCESSING 审中-公开
标题翻译：数据搜索处理
公开(公告)号：WO2015089065A1
公开(公告)日：2015-06-18
申请号：PCT/US2014/069335
申请日：2014-12-09
申请人： ALIBABA GROUP HOLDING LIMITED
发明人： WANG, Yong , CHEN, Xi , LIN, Jianguo , TANG, Haihong , ZENG, Anxiang , ZENG, Xiaoyi , PAN, Chunxiang , WANG, Yi , YANG, Gu , WANG, Bo , XU, Yinghui
IPC分类号： G06F17/30
CPC分类号： G06F17/3053 , G06F17/30867
摘要： A search request sent by a user is received to obtain one or more query words included in the search request. Historical operating information relating to a data object in a search result corresponding to the query words is conducted statistics. An attribute of the data object is selected as a specified attribute to generate a probability distribution model of the attribute value on the specified attribute of the data object. A respective probability corresponding to the attribute value of each data object on the specific attribute in the research result corresponding to the search request sent by the current user is calculated by using the probability distribution model. The output rank of the data objects in the search result is adjusted by using the probability. The present techniques improve reasonability of displaying the data objects in the search result and provide more accurate result.
摘要翻译：接收用户发送的搜索请求以获得包括在搜索请求中的一个或多个查询词。对与查询词相对应的搜索结果中的数据对象有关的历史操作信息进行统计。选择数据对象的属性作为指定属性，以生成数据对象的指定属性上的属性值的概率分布模型。通过使用概率分布模型计算与当前用户发送的搜索请求对应的研究结果中的每个数据对象的特定属性的属性值相应的概率。通过使用概率来调整搜索结果中的数据对象的输出等级。本技术提高了在搜索结果中显示数据对象的合理性，并提供更准确的结果。

3. 发明申请

WO2015081219A1 INDIVIDUALIZED DATA SEARCH 审中-公开
标题翻译：个性化数据搜索
公开(公告)号：WO2015081219A1
公开(公告)日：2015-06-04
申请号：PCT/US2014/067648
申请日：2014-11-26
申请人： ALIBABA GROUP HOLDING LIMITED
发明人： CHEN, Xi
IPC分类号： G06F17/30
CPC分类号： G06N99/005 , G06F17/3053 , G06F17/30864 , G06N5/048
摘要： A machine learning is conducted according to user behavior data to obtain a satisfaction degree of the user behavior data. One or more characteristics are selected from a characteristic of the user and a characteristic of the data object in the user behavior data to obtain a characteristic combination. Individualized model training is conducted according to the satisfaction degree of the user behavior data under each characteristic or characteristic combination to obtain an individualized weight of each characteristic or characteristic combination. One or more data objects searched according to a query word in a search request of the user is ranked based on the individualized weight of the characteristic or characteristic combination. The one or more searched data objects are displayed according to the ranking. The present techniques improve performance of a search platform, increase accuracy of search results, and output reasonable results that satisfies an intention of the user.
摘要翻译：根据用户行为数据进行机器学习，获得用户行为数据的满意度。从用户的特征和用户行为数据中的数据对象的特征中选择一个或多个特征以获得特征组合。根据每个特征或特征组合下的用户行为数据的满意程度进行个性化模型训练，以获得每个特征或特征组合的个体化权重。基于特征或特征组合的个性化权重对根据用户的搜索请求中的查询词搜索的一个或多个数据对象进行排名。根据排名显示一个或多个搜索到的数据对象。本技术提高搜索平台的性能，提高搜索结果的准确性，并输出满足用户意图的合理结果。

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