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1. 发明公开

EP2643805A1 PREDICTION OF COST AND INCOME ESTIMATES ASSOCIATED WITH A BID RANKING MODEL 审中-公开
标题翻译：成本预测和营收预期某种类似OFFER模型
公开(公告)号：EP2643805A1
公开(公告)日：2013-10-02
申请号：EP11842803.6
申请日：2011-11-22
申请人： Alibaba Group Holding Limited
发明人： GUO, Jiaqing , ZHANG, Tao , GUO, Ning
IPC分类号： G06Q30/00
CPC分类号： G06Q30/0247
摘要： Prediction of cost and income estimates associated with a bid ranking model is disclosed, including: receiving a search keyword estimate prediction request, wherein the request comprises a search keyword, a bid price associated with the search keyword, and a prediction period; determining an average click through rate associated with the search keyword associated with the prediction period for a ranking position; determining a traffic value associated with the search keyword associated with the prediction period; determining an average cost per click associated with the search keyword associated with the prediction period for the ranking position; determining a number of impressions associated with the search keyword for the ranking position; and determining a cost estimate and an income estimate associated with the search keyword associated with the prediction period.

2. 发明公开

EP2601622A1 PREDICTING A USER BEHAVIOR NUMBER OF A WORD 审中-公开
标题翻译：预测用户行为的数量WORD
公开(公告)号：EP2601622A1
公开(公告)日：2013-06-12
申请号：EP11815119.0
申请日：2011-07-29
申请人： Alibaba Group Holding Limited
发明人： ZHANG, Tao , GUO, Jiaqing , GUO, Ning
IPC分类号： G06Q10/00
CPC分类号： G06N5/02 , G06F17/30943 , G06Q10/00 , G06Q30/00
摘要： The present disclosure introduces a method, an apparatus and memory of predicting a user behavior number of a word for reducing the amount and the complexity of operation, saving the consumption of the equipment, and improving the accuracy and reliability of predictions. In an embodiment, a historical data sequence of the user behavior number of a word is converted from a time domain to a frequency domain. Based on the converted frequency domain, each estimated cycle and its effect rate value of the historical data sequence are ascertained. If the historical data sequence is stable, an average value of user behavior numbers of some historical data points before a prediction point is calculated as a user behavior number of the prediction point. Otherwise, the user behavior number is calculated based on a selected main cycle and a selected singularity.

3. 发明公开

EP2524344A1 MATCHING OF ADVERTISING SOURCES AND KEYWORD SETS IN ONLINE COMMERCE PLATFORMS 无效
标题翻译：广告内容来源和关键字记录在商业网络平台适应
公开(公告)号：EP2524344A1
公开(公告)日：2012-11-21
申请号：EP11733176.9
申请日：2011-01-12
申请人： Alibaba Group Holding Limited
发明人： ZHANG, Tao , GUO, Jiaqing , GUO, Ning
IPC分类号： G06Q30/00
CPC分类号： G06Q30/0256 , G06Q30/02 , G06Q30/0244
摘要： Providing online advertisements includes selecting, among a plurality of advertising sources provided by a seller, a selected plurality of advertising sources that meet a predefined condition; generating a plurality of keyword sets that correspond to the selected plurality of advertising sources; establishing a programming model according to a set of predefined constraints, wherein the programming model represents match of the selected plurality of advertising sources and the plurality of keyword sets; and determining a substantially optimal match between at least some of the plurality of advertising sources and the plurality of keyword sets by solving the programming model.

4. 发明公开

EP2457151A1 RANKING SEARCH RESULTS BASED ON WORD WEIGHT 审中-公开
标题翻译： SORTIERUNG VON SUCHERGEBNISSEN AUF基于VON WORTGEWICHTUNGEN
公开(公告)号：EP2457151A1
公开(公告)日：2012-05-30
申请号：EP10802539.6
申请日：2010-07-16
申请人： Alibaba Group Holding Limited
发明人： XIE, Yuheng , XING, Fei , GUO, Ning , HOU, Lei , ZHANG, Qin
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30696 , G06F17/30687
摘要： Ranking search results, comprises receiving a query string; retrieving a plurality of search results that include a corresponding plurality of target strings that relate to the query string; segmenting the query string and each of the plurality of target strings; pairing segments in the query string with respective segments in the target strings to form a plurality of combinations; retrieving a plurality of weights that correspond to the plurality of combinations based on a mapping of word combinations and their respective weights, wherein a weight measures semantic correlation between words in a word combination; and determining a weighted word length based on the weights corresponding to each of the plurality of target strings; and ranking the plurality of target strings based on their respective weighted word lengths.
摘要翻译：排名搜索结果，包括检索包括与查询字符串相关的目标字符串的搜索结果; 分割查询字符串和每个目标字符串; 将查询字符串中的段与目标字符串中的各个段进行配对以形成组合; 检索对应于组合的权重; 以及基于与每个所述目标串相对应的权重来确定加权的字长; 并且基于它们各自的加权字长对目标字符串进行排序。或者，排名搜索结果包括确定每个插入的单词相对于查询串中的段的最小权重; 确定每个被删除单词相对于目标字符串中的段的最小权重; 确定每个目标字符串的总编辑距离; 并根据总编辑距离对目标字符串进行排序。

5. 发明公开

EP2601623A2 RETURNING ESTIMATED VALUE OF SEARCH KEYWORDS OF ENTIRE ACCOUNT 审中-公开
标题翻译：返回一个整个帐户的搜索字词的估计价值为
公开(公告)号：EP2601623A2
公开(公告)日：2013-06-12
申请号：EP11815318.8
申请日：2011-08-04
申请人： Alibaba Group Holding Limited
发明人： ZHANG, Tao , GUO, Jiaqing , GUO, Ning
IPC分类号： G06Q10/04
CPC分类号： G06F17/3053 , G06Q30/02 , G06Q30/0247 , G06Q30/0254 , G06Q30/0273 , G06Q30/0275 , G06Q30/0283
摘要： Techniques for returning estimated value of search keywords of an entire account include, for the entire account, obtaining one or more selected search keywords and their respective forecast periods and parameter settings. An estimated value of a respective search keyword in the respective forecast period is forecasted. Based on stored historical data and parameter settings of the respective search keyword, the estimated value of the respective search keyword is modified to obtain a modified estimated value. The modified estimated value of each search keyword is added up to generate an estimated value of the entire account. The estimated value of the entire account is returned to a client terminal from which the entire account is logged in. The present disclosure modifies the respective search keyword's estimated value so that the estimated value of the entire account satisfies the expected value of the client.

6. 发明公开

EP2430575A1 SEARCH METHOD, APPARATUS AND SYSTEM 审中-公开
标题翻译：搜索方法，装置和系统
公开(公告)号：EP2430575A1
公开(公告)日：2012-03-21
申请号：EP10774604.2
申请日：2010-04-30
申请人： Alibaba Group Holding Limited
发明人： XING, Fei , DONG, Jing , GUO, Ning , HOU, Lei , ZHANG, Qin
IPC分类号： G06F17/30 , G06F7/10
CPC分类号： G06F17/30864 , G06F17/30672 , Y10S707/99933
摘要： The present disclosure describes a search method, a search apparatus and a search system. The method includes: a data rewriting system that obtains, from a database, one or more search term candidates that are relevant to a present search term. The data rewriting system retrieves properties of the present search term and the one or more search term candidates, where the properties describe respective matching results of the present search term and the one or more search term candidates. Based on the matching results, the data rewriting system determines whether or not the present search term needs to be rewritten, and rewrites the present search term based on the matching results to provide a rewritten present search term if it is determined that the present search term needs to be rewritten. A search engine performs a search based on the rewritten present search term. The disclosed method, apparatus and system avoid the approach of conducting a search based on fixed rules after the present search term is rewritten, thus reducing the probability of having ambiguity in the search process and improving the degree of search accuracy.

7. 发明公开

EP2430519A1 METHOD FOR GENERATING SEARCH RESULT AND SYSTEM FOR INFORMATION SEARCH 审中-公开
标题翻译：生成搜索结果的方法和用于信息搜索的系统
公开(公告)号：EP2430519A1
公开(公告)日：2012-03-21
申请号：EP10775256.0
申请日：2010-04-29
申请人： Alibaba Group Holding Limited
发明人： GUO, Ning , XIE, Yuheng , XING, Fei , HOU, Lei , ZHANG, Qin
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30867 , G06F17/3053 , G06F17/30702 , Y10S707/99937
摘要： The present disclosure discloses a method for generating a search result and an information search system The method for generating a search result includes: receiving, by an information search system, a search request; obtaining, by searching, a plurality of pieces of matching information that match the search request; obtaining a respective amount of user response associated with each of the plurality of pieces of matching information and further obtaining a total amount of user response associated with a respective categones to which each of the plurality of pieces of matching information belongs; and ranking the plurality of pieces of information to generate a search result based on the total amount of user response associated with the respective category to which each of the plurality of pieces of matching information belongs.
摘要翻译：本公开公开了一种用于生成搜索结果的方法和一种信息搜索系统。所述用于生成搜索结果的方法包括：通过信息搜索系统接收搜索请求; 通过搜索获得匹配搜索请求的多条匹配信息; 获取与所述多条匹配信息中的每条匹配信息相关联的相应量的用户响应，并且进一步获得与所述多条匹配信息中的每条匹配信息所属的相应分类相关联的用户响应总量; 以及基于与所述多条匹配信息中的每条匹配信息所属于的相应类别相关联的用户响应的总量来对所述多条信息进行排序以生成搜索结果。

8. 发明公开

EP2425353A1 METHOD AND APPARATUS FOR IDENTIFYING SYNONYMS AND USING SYNONYMS TO SEARCH 审中-公开
标题翻译：方法和设备用于识别同义词和近义词的使用进行搜索
公开(公告)号：EP2425353A1
公开(公告)日：2012-03-07
申请号：EP10769390.5
申请日：2010-04-23
申请人： Alibaba Group Holding Limited
发明人： DONG, Jing , XING, Fei , GUO, Ning , HOU, Lei , ZHANG, Qin
IPC分类号： G06F17/00
CPC分类号： G06F17/30864 , G06F17/2795 , G06F17/30672 , G06F17/30737
摘要： A method and an apparatus for identifying synonym and utilizing such synonym to conduct search is disclosed. The disclosed method includes: obtaining arbitrary two words to be identified; determining whether a shortest edit distance between the two words less than or equal to an edit distance threshold; determining whether the two words to be identified exist in a preset knowledge database, and if an answer is yes then searching a smallest granularity type with highest weight value for each word in the knowledge database; and if the two word have the same smallest granularity type with highest weight value, then determining such two words are synonyms, or non-synonym otherwise. The disclosed techniques greatly improve accuracy of synonym identification and guarantee effect of synonym identification.

9. 发明公开

EP2702513A2 DETERMINATION OF RECOMMENDATION DATA 审中-公开
标题翻译：建议测定数据的
公开(公告)号：EP2702513A2
公开(公告)日：2014-03-05
申请号：EP12721057.3
申请日：2012-04-23
申请人： Alibaba Group Holding Limited
发明人： QIU, Guang , LIU, Yizhe , YIN, Weidong , YANG, Song , GUO, Ning , ZHANG, Liang
IPC分类号： G06F17/30
CPC分类号： G06Q30/0256 , G06F17/30752 , G06F17/3082 , G06F17/30867 , G06Q30/02
摘要： Determining recommendation data is disclosed, including: extracting a first set of keywords from a set of user action logs that occurred prior to a predetermined time point and determining a weight value for at least one of the first set of keywords; extracting a second set of keywords from a set of user action logs that occurred subsequent to the predetermined time point and determining a weight value for at least one of the second set of keywords; merging at least a portion of the first set of keywords and at least a portion of the second set of keywords to obtain a third set of keywords and determining a weight value for at least one of the third set of keywords; matching the third set of keywords to a database of data that can potentially be recommended to a user; and in the event that a piece of data is determined to match at least one keyword from the third set of keywords, determine that the piece of data is to be recommended to the user.

10. 发明公开

EP2443546A1 GENERATING RANKED SEARCH RESULTS USING LINEAR AND NONLINEAR RANKING MODELS 无效
标题翻译：生产有红利搜索结果使用线性和非线性模型的描述
公开(公告)号：EP2443546A1
公开(公告)日：2012-04-25
申请号：EP10789859.5
申请日：2010-06-15
申请人： Alibaba Group Holding Limited
发明人： GUO, Ning , XING, Fei , XIE, Yuheng , HOU, Lei , ZHANG, Qin
IPC分类号： G06F7/00
CPC分类号： G06F17/3053 , G06F17/30011 , G06F17/3005 , G06F17/30058 , G06F17/30554 , G06F17/3061 , G06F17/30899
摘要： Generating ranked search results includes receiving a plurality of matching information items that match a search request, ranking at least some of the plurality of matching information items using a linear ranking model that linearly combines a first plurality of feature values to obtain a first set of ranked results, ranking at least some of the first set of ranked results using a nonlinear ranking model that nonlinearly combines a second plurality of feature values to obtain a second set of ranked results, and provide a search response based on the second set of ranked results.

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