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    • 73. 发明授权
    • Classifying functions of web blocks based on linguistic features
    • 基于语言特征分类网页功能
    • US07895148B2
    • 2011-02-22
    • US11742283
    • 2007-04-30
    • Wei-Ying MaXiangye XiaoXing Xie
    • Wei-Ying MaXiangye XiaoXing Xie
    • G06N5/00
    • G06Q10/10
    • A classification system trains a classifier to classify blocks of the web page into various classifications of the function of the block. The classification system trains a classifier using training web pages. To train a classifier, the classification system identifies the blocks of the training web pages, generates feature vectors for the blocks that include a linguistic feature, and inputs classification labels for each block. The classification system learns the coefficients of the classifier using any of a variety of machine learning techniques. The classification system can then use the classifier to classify blocks of web pages.
    • 分类系统训练分类器将网页的块分类为块的功能的各种分类。 分类系统使用训练网页训练分类器。 为了训练分类器,分类系统识别训练网页的块,为包括语言特征的块生成特征向量,并为每个块输入分类标签。 分类系统使用各种机器学习技术中的任何一种学习分类器的系数。 然后,分类系统可以使用分类器对网页块进行分类。
    • 76. 发明申请
    • SEARCH ENGINE ENHANCEMENT USING MINED IMPLICIT LINKS
    • 使用精简的隐含链接搜索引擎增强
    • US20100023508A1
    • 2010-01-28
    • US12505426
    • 2009-07-17
    • Hua-Jun ZengGui-Rong XueZheng ChenWei-Ying Ma
    • Hua-Jun ZengGui-Rong XueZheng ChenWei-Ying Ma
    • G06F17/30G06F17/00
    • G06F17/30867Y10S707/99935Y10S707/99937
    • An implicit links enhancement system and method for search engines that generates implicit links obtained from mining user access logs to facilitate enhanced local searching of web sites and intranets. Embodiments of the implicit links search enhancement system and method includes extracting implicit links by mining users' access patterns and then using a modified link analysis algorithm to re-rank search results obtained from traditional search engines. More specifically, embodiments of the method include extracting implicit links from a user access log, generating an implicit links graph from the extracted implicit links, and computing page rankings using the implicit links graph. The implicit links are extracted from the log using a two-item sequential pattern mining technique. Search results obtained from a search engine are re-ranked based on an implicit links analysis performed using an updated implicit links graph, a modified re-ranking formula, and at least one re-ranking technique.
    • 一种用于搜索引擎的隐式链接增强系统和方法,用于生成从挖掘用户访问日志中获取的隐含链接,以促进对网站和内部网的增强的本地搜索。 隐式链接搜索增强系统和方法的实施例包括通过挖掘用户的访问模式来提取隐含链接,然后使用经修改的链接分析算法重新排列从传统搜索引擎获得的搜索结果。 更具体地,该方法的实施例包括从用户访问日志提取隐含链接,从提取的隐式链接生成隐式链接图,以及使用隐式链接图计算页面排名。 使用两项顺序模式挖掘技术从日志中提取隐式链接。 基于使用更新的隐式链接图,修改的重新排列公式和至少一个重新排序技术执行的隐式链接分析,从搜索引擎获得的搜索结果被重新排序。
    • 78. 发明申请
    • RECOMMENDING CONTACTS IN A SOCIAL NETWORK
    • 在社交网络中推荐的联系人
    • US20090319466A1
    • 2009-12-24
    • US12546630
    • 2009-08-24
    • Dafan LiuHua ChenWei-Ying Ma
    • Dafan LiuHua ChenWei-Ying Ma
    • G06N5/02
    • G06F17/30867G06F17/30528G06F17/3053G06Q10/10H04L67/306
    • A method and system for recommending potential contacts to a target user is provided. A recommendation system identifies users who are related to the target user through no more than a maximum degree of separation. The recommendation system identifies the users by starting with the contacts of the target user and identifying users who are contacts of the target user's contacts, contacts of those contacts, and so on. The recommendation system then ranks the identified users, who are potential contacts for the target user, based on a likelihood that the target user will want to have a direct relationship with the identified users. The recommendation system then presents to the target user a ranking of the users who have not been filtered out.
    • 提供了一种用于向目标用户推荐潜在联系人的方法和系统。 推荐系统通过不超过最大程度的分离来识别与目标用户相关的用户。 推荐系统通过从目标用户的联系人开始并识别与目标用户的联系人,联系人的联系人等的用户来识别用户。 然后,推荐系统根据目标用户想要与所识别的用户有直接关系的可能性,对所识别的用户排列谁是目标用户的潜在联系人。 然后,推荐系统向目标用户呈现未被滤除的用户的排名。
    • 80. 发明申请
    • INDEXING LARGE-SCALE GPS TRACKS
    • 引导大规模GPS跟踪
    • US20090216787A1
    • 2009-08-27
    • US12037263
    • 2008-02-26
    • Longhao WangYu ZhengXing XieWei-Ying Ma
    • Longhao WangYu ZhengXing XieWei-Ying Ma
    • G06F7/00G06F17/30
    • G06F17/30551G06F17/30241G06F17/30327G06F17/30333
    • Described is a technology by which uploaded GPS data is indexed according to spatio-temporal relationships to facilitate efficient insertion and retrieval. The indexes may be converted to significantly smaller-sized data structures when new updates to that structure are not likely. GPS data is processed into a track of spatially-partitioned segments such that each segment has a cell. Each cell has an associated temporal index (a compressed start-end tree), into which data for that cell's segments are inserted. The temporal index may include an end time index that relates each segment's end time to a matching start time index. Given query input comprising a spatial predicate and a temporal predicate, tracks may be searched for by determining which spatial candidate cells may contain matching results. For each candidate cell, the search accesses the cell's associated temporal index to find any track or tracks that correspond to the temporal predicate.
    • 描述了一种根据时空关系对上传的GPS数据进行索引的技术,以便于有效的插入和检索。 当该结构的新更新不太可能时,索引可能会转换为显着更小的数据结构。 GPS数据被处理成空间分割的段的轨道,使得每个段具有一个单元。 每个单元都具有关联的时间索引(压缩的开始结束树),该单元格的段的数据被插入到该时间索引中。 时间索引可以包括将每个段的结束时间与匹配的开始时间索引相关联的结束时间索引。 给定包括空间谓词和时间谓词的查询输入,可以通过确定哪些空间候选小区可以包含匹配结果来搜索轨道。 对于每个候选小区,搜索访问小区的相关联的时间索引以找到与时间谓词相对应的任何轨道或​​轨道。