Abstract: A system is described for serving data matching content in a search engine marketing system. The system may include a processor, an interface and a memory. The memory may be operatively connected to the processor and may store a page, a content related to the page, a set of terms and a data. The interface may be operatively connected to the memory and the processor and may be used to communicate with a user. The processor may identify a page and a content, perform a semantic analysis on the content to generate a set of terms, match the set of terms to a data, add the data to the page, and the serve the page to a user via the interface.
Type:
Grant
Filed:
April 25, 2007
Date of Patent:
July 19, 2016
Assignee:
Yahoo! Inc.
Inventors:
Anand Madhavan, Shyam Kapur, Matthew Carinio
Abstract: A system for converting formatting of display object, including a logic (e.g., a computing device) that can be operable to traverse and record a part of source code or binary data related to a first visible item displayed on a visual output device. The logic can then convert a first data type or data structure that includes the recorded part of source code or binary data to a second data type or data structure that still includes the recorded part of source code or binary data, where the second data type or data structure is related to a second visible item displayable on the visual output device.
Type:
Application
Filed:
March 22, 2016
Publication date:
July 14, 2016
Applicant:
Yahoo! Inc.
Inventors:
Lawrence Anthony Deguzman, Igor P. Zingerman
Abstract: A method for identifying a user is provided, including the following method operations: identifying at least three contact regions on a touch sensitive surface, the contact regions defined by simultaneous contact of at least three fingers of the user with the touch sensitive surface; for each contact region, determining a center point; determining distances between each of the determined center points of the contact regions; comparing the determined distances against predefined distances associated with a known user; based on the comparing, determining the user to be the known user or not the known user.
Type:
Grant
Filed:
July 25, 2013
Date of Patent:
July 12, 2016
Assignee:
Yahoo! Inc.
Inventors:
Benoit Schillings, Daryl Low, Andreas Rossbacher
Abstract: System and method are directed towards determining an approximate location of a cell tower (CT), using at least implicit location information obtained from a plurality of mobile devices obtained while each mobile device user employs a location based application. Also obtained are CT identifiers associated with a cell tower each mobile device is currently employing. When a sufficient number of mobile devices provide implicit location information for a given CT identifier, an approximate location may be determined. Subsequently, when a mobile device provides a CT identifier for which an approximate location has been determined, the approximate location information may be used to assist the user of the mobile device. For example, the user might access a location based application and automatically have an approximate location of the user's mobile device be provided to the application transparent to the user.
Abstract: In one embodiment, a location of a mobile device may be obtained. A direction of movement of the mobile device may be ascertained. A field of vision of a user of the mobile device may be determined based, at least in part, on the location of the mobile device and the direction of movement of the mobile device. A user profile associated with the user and/or the mobile device may be identified. A notification may be provided via the mobile device based, at least in part, upon the user profile and the field of vision of the user.
Abstract: The information providing system according to the embodiment includes a wireless LAN access point and an information providing apparatus. The wireless LAN access point detects a wireless terminal existing in a wireless LAN communication area to transmit the detection information to the information providing apparatus. The information providing apparatus determines either the wireless LAN access point or a wireless WAN base station, on the basis of information on a user of a wireless terminal specified according to the detection information and/or the information on an installation location of the wireless LAN access point, as a communication medium that notifies the notification information.
Abstract: An image associated with a location and depicting the current weather conditions at the location is served to the user along with the current weather data of the location. If an image for the location that aptly depicts the weather conditions as indicated by the weather data cannot be identified, the geographical area associated with the location is expanded to search for appropriate images from an expanded image pool. The expansion can continue in one or more steps until a threshold is reached beyond which the geographical area my no longer be expanded. If no images are retrieved upon reaching the threshold, an image reflecting the weather condition is selected from a fallback image set for presentation with the weather data.
Abstract: A content item categorizer system retrieves content items from Internet sources. If a retrieved content item includes sufficient information for traditional categorization methods, then the system assigns one or more categories to the content item using such traditional methods. The system creates a metadata model, based on information about traditionally-categorized content items, that maps at least hashtags from the content items to one or more content categories. When the system retrieves a sparse-info item that does not include sufficient information for traditional categorization, the system applies the metadata model to categorize the content item using at least hashtags in the sparse-info item. The metadata model may also include information indicating mappings between categories and coincidence of hashtags and additional content item attributes. Also, the metadata model may provide information for categorizing sparse-info items based on multiple hashtags in the sparse-info item metadata.
Abstract: Provided is a terminal apparatus including a display unit, an acquisition unit, a detection unit, and a display control unit. The acquisition unit acquires advertisement information from an advertisement delivery apparatus. The detection unit detects a scroll state of a page displayed on the display unit. The display control unit sets an initial display position of the advertisement information to a predetermined position of the page in a case where the page is not scrolling and which sets the initial display position of the advertisement information to a predetermined display position of the display unit in a case where the page is scrolling.
Abstract: A search engine determines a set of other images that are similar to a user-selected image, and presents those other images to the user. In determining whether two images are sufficiently similar to each other to merit presentation of one, the search engine determines a Euclidean distance between separate feature vectors that are associated with each of the images. Each such vector indicates diverse types of information that is known about the associated image. The types of information included within such a vector may include attributes that reflect visual characteristics that are visible in an image, verbal tags that have been associated with the image users in a community of users, concepts derived from those tags, coordinates that reflect a geographic location at which a camera that produced the image was when the camera produced the image, and concepts related to groups with which the image is associated.
Type:
Grant
Filed:
July 31, 2009
Date of Patent:
July 5, 2016
Assignee:
Yahoo! Inc.
Inventors:
Malcolm Slaney, Kilian Quirin Weinberger, Kaushal Kurapati, Sriram J. Sathish, Polly Ng
Abstract: Provided herein are systems and method for obtaining contextual information of an image published on a digital medium. The methods and systems disclosed herein generally identify and analyze the image to obtain image descriptors corresponding to the image. The methods also identify and analyze text published proximate to the image to obtain textual descriptors, which function to describe, identify, index, or name the image or content within the image. The textual descriptors are then matched to the image descriptors to provide contextual information of the published image.
Abstract: Described herein are example systems and operations for enhancing targeted delivery of online content using action rate lift and/or A/B testing. These examples provide solutions to problems in targeted delivery of online content, such as the problem of not being able to identify audience and/or situational targets mostly or only influenced by the content item or campaign of concern. For example, described herein are solutions that can estimate AR lift associated with a content item, and then distribute the content item or similar content items accordingly. An AR lift model can be used and such a model can use machine learning, A/B testing, and/or statistical analysis.
Type:
Application
Filed:
June 16, 2015
Publication date:
June 30, 2016
Applicant:
Yahoo! Inc.
Inventors:
Jian Xu, Xuhui Shao, Jianjie Ma, Quan Lu
Abstract: Systems and methods for are provided for measuring treatment effect of advertisement campaigns. The system includes a processor and a non-transitory storage medium accessible to the processor. The system includes a memory storing a database including historical advertisement data. A computer server is in communication with the memory and the database, the computer server programmed to obtain a tree-based model using the historical advertisement data, where the tree-based model include a plurality of leaf nodes. Within at least one leaf node of the tree-based model, the computer server obtains a number of subjects and estimates a treatment effect for a treatment. The computer server calculates a final treatment effect for the tree-based model using the number of subjects and the treatment effect. The computer server then determines a parameter for future advertising strategy using the final treatment effect.
Type:
Application
Filed:
December 31, 2014
Publication date:
June 30, 2016
Applicant:
Yahoo! Inc.
Inventors:
Pengyuan WANG, Dawei Yin, Yi Chang, Jian Yang, Wei Sun
Abstract: Techniques are provided that include generating a single script block for placement at a single location on an HTML document in response to a creation of one or more ad units for the HTML document, the single script block including one or more section codes that correspond to one or more content blocks of the HTML document. A syndication script for obtaining logic and metadata is generated for injecting native advertisements in the HTML document based on the one or more section codes. The syndication script is provided in response to a request generated by the single script block, and one or more native advertisements are provided in response to an ad call generated by the syndication script, the one or more native advertisements for injection in the one or more content blocks of the HTML document based on the logic and metadata.
Abstract: A method of advertising receives a data log that includes the activities of users. The users have unique identifiers and associated profiles that form a user base. The method segments the user base into user segments by types of users. Hence, a first user segment is formed. The users within the first user segment have a profile similarity. The method groups publisher inventory, and forms a first publisher group. The publishers provide content to the users. The method categorizes advertisements and thereby generates a first ad category. The advertisements relate to a marketer, which has various marketer data. The method targets a first advertisement within the first ad category based on at least one of the first ad category, the publisher grouping, and the user segments. A system for ad targeting includes a user module, a publisher module, a marketer and/or advertisement module, and a matching engine.