Method of and system for conducting a controlled experiment using prediction of future user behavior

    公开(公告)号:US10387789B2

    公开(公告)日:2019-08-20

    申请号:US15156439

    申请日:2016-05-17

    Abstract: The methods and systems described herein relate to conducting a controlled experiment using prediction of future user behavior. The method, executable on at least one server, comprises: collecting behavior data on two sets of users over a first period, wherein: the first set of users is exposed to a control; the second set of users is exposed to a treatment variant; and the behavior data relates to a performance parameter of the controlled experiment; based on a prediction model applied to the behavior data, calculating predicted values of the performance parameter for each user of the first set and the second set of users over a second period of time; and determining if a difference exists between the predicted values of the performance parameter for each user of the first set of users and the predicted values of the performance parameter for each user of the second set of users.

    Method and system of processing a search query

    公开(公告)号:US10102292B2

    公开(公告)日:2018-10-16

    申请号:US15156399

    申请日:2016-05-17

    Abstract: There is disclosed a computer implemented method for processing a search query, the method executable by a search engine server, search engine server coupled to a crawled web resource database and a communication network. The computer implemented method aims at placing lower ranked web resources (for example, due to lack of prior user interaction with these web resources, as they may be new, etc) on the upper positions of the SERP to attract more user feedback to gather information about the lower ranked web resources. In this way, the search engine provider may improve the search results mix by giving a chance to get user feedback (and, hence, improve their scores) for more potentially highly relevant web resources (which may yet lack user interaction data to allow proper high scoring).

    Methods and systems for generating a combined metric parameter for A/B testing

    公开(公告)号:US11256610B2

    公开(公告)日:2022-02-22

    申请号:US16928088

    申请日:2020-07-14

    Abstract: Methods and systems for generating a combined metric parameter for A/B testing comprising: acquiring a respective first metric parameter for a first and second plurality of feature vectors, a combination of the respective first metric parameters being indicative of a direction of a change in user interactions between the control version and the treatment version, acquiring a respective second metric parameter for the first and second plurality of feature vectors, a combination of the respective second metric parameters being indicative of a magnitude of the change in user interactions between the control and treatment version, generating a respective combined control metric parameter for the first plurality of feature vectors and the second plurality of feature vectors, the combination of the respective combined metric parameters being simultaneously indicative of the magnitude and the direction of the change in user interactions between the control and treatment version.

    Method of and system for parameter-free discovery and recommendation of areas-of-interest

    公开(公告)号:US09971775B2

    公开(公告)日:2018-05-15

    申请号:US15190684

    申请日:2016-06-23

    CPC classification number: G06F17/30061 G06F17/30241 G06F17/3087 G06K9/3233

    Abstract: A method and system for processing a user request for a recommended area of interest includes the steps of receiving the request including an indication of an electronic device geo-location and a user defined search constraint; receiving data associated with photographs associated with geo-objects, the data comprising geo-location coordinates of the photographs, the geo-location coordinates of the photographs being in proximity with the device geo-location; computing a plurality of region representations based on the geo-location coordinates of the photographs, each region representation being associated with a unique photograph density calculation parameter, the computing comprises determining a potential area of interest in each region representation, each region representation being a candidate for an optimal region representation; determining the optimal region representation based on the user defined search constraint; and displaying to the user the recommended area of interest that corresponds to the potential area of interest of the optimal region representation.

    Search result ranker
    6.
    发明授权
    Search result ranker 有权
    搜索结果ranker

    公开(公告)号:US09501575B2

    公开(公告)日:2016-11-22

    申请号:US14866380

    申请日:2015-09-25

    CPC classification number: G06F17/30867 G06F17/30864

    Abstract: A computerized method for optimizing search result rankings obtained from a search result ranker has the steps of retrieving a first set of query-document pairs, each query-document pair of the first set having an associated post-impression features vector; generating a weight vector having a number of weights corresponding to a number of post-impression features in each of the post-impression feature vector of the first set; generating a target function by using the weight vector and the post-impression features vectors of the first set; using a performance metric associated with the target function, optimizing the weights of the weight vector using the first set of query-document pairs to obtain an optimized target function; optimizing the search result ranker using the optimized target function; and using the optimized search result ranker to rank search results.

    Abstract translation: 用于优化从搜索结果筛选器获得的搜索结果排名的计算机化方法具有以下步骤:检索第一组查询文档对,所述第一组的每个查询文档对具有相关联的后印象特征向量; 生成与所述第一组的所述后印象特征向量中的每一个中的后印象特征的数量相对应的权重数量的权重向量; 通过使用第一组的权重向量和后印象特征向量来生成目标函数; 使用与所述目标函数相关联的性能指标,使用所述第一组查询文档对来优化所述权重向量的权重以获得优化的目标函数; 使用优化的目标函数优化搜索结果筛选器; 并使用优化的搜索结果ranker对搜索结果进行排名。

    Systems and methods for classification and segmentation of browsing logs based on user's search goals
    7.
    发明授权
    Systems and methods for classification and segmentation of browsing logs based on user's search goals 有权
    基于用户搜索目标对浏览日志进行分类和分割的系统和方法

    公开(公告)号:US08938408B1

    公开(公告)日:2015-01-20

    申请号:US14220679

    申请日:2014-03-20

    CPC classification number: G06N99/005 G06F17/30867

    Abstract: Disclosed are systems, methods and computer program products for classification and segmentation of user's browsing logs based on search goals of the user. In one aspect, the method includes receiving a browsing log of a user; extracting web page features from the browsing log; generating web page classifiers based on the extracted features of the browsing log, wherein different classifiers are related to different search goals of the user; segmenting the browsing log using the one or more classifiers into a plurality of separate logical browsing sessions related to different search goals of the user; and performing an Internet search based on a search query of the user and information about one of the logical browsing sessions.

    Abstract translation: 公开了基于用户搜索目标的用户浏览日志的分类和分割的系统,方法和计算机程序产品。 一方面,该方法包括接收用户的浏览日志; 从浏览日志提取网页功能; 基于提取的浏览日志的特征生成网页分类器,其中不同的分类器与用户的不同搜索目标相关; 使用所述一个或多个分类器将所述浏览日志分割成与所述用户的不同搜索目标相关的多个单独的逻辑浏览会话; 以及基于用户的搜索查询和关于逻辑浏览会话之一的信息执行因特网搜索。

    Method of and system for ranking digital objects based on objective characteristic associated therewith

    公开(公告)号:US11308099B2

    公开(公告)日:2022-04-19

    申请号:US16898289

    申请日:2020-06-10

    Abstract: A method and system for ranking digital object based on an objective characteristic associated therewith are provided. The method comprising: generating a set of digital objects based on a user request, the set of digital objects being rankable according to an objective characteristic thereof; receiving a filter request from the user, the filter request being based on a secondary characteristic of digital objects in the set of digital objects; determining object parameters for the digital objects in the set of digital objects, a given object parameter being indicative of a likelihood that an inclusion of a respective digital object in a re-ranked set of digital objects will increase a quality metric of the re-ranked set of digital objects; selecting digital objects based on object parameters; ranking digital objects based on respective values of the secondary characteristic, thereby generating the re-ranked set of digital objects.

    Methods and systems for generating a combined metric parameter for A/B testing

    公开(公告)号:US10733086B2

    公开(公告)日:2020-08-04

    申请号:US15997231

    申请日:2018-06-04

    Abstract: Methods and systems for generating a combined metric parameter for A/B testing comprising: acquiring a respective first metric parameter for a first and second plurality of feature vectors, a combination of the respective first metric parameters being indicative of a direction of a change in user interactions between the control version and the treatment version, acquiring a respective second metric parameter for the first and second plurality of feature vectors, a combination of the respective second metric parameters being indicative of a magnitude of the change in user interactions between the control and treatment version, generating a respective combined control metric parameter for the first plurality of feature vectors and the second plurality of feature vectors, the combination of the respective combined metric parameters being simultaneously indicative of the magnitude and the direction of the change in user interactions between the control and treatment version.

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