Abstract: Systems, devices, and methods are disclosed for predicting potential effectiveness of query-triggered internet advertisements received from different web page publishers using a deep learning neural network language model for clustering queries, and for automatically adjusting bids for advertisements by advertisers based on the predicted potential effectiveness. Using query-clusters rather than queries for adjusting bids for advertisements allows for more accurate and more consistent bidding strategy despite of sparsity in historical advertisement performance data, higher return on investments for the advertisers, and higher revenue for the publishers of the advertisements.

Abstract: Systems, devices, and methods are disclosed for predicting a dynamic floor price for increasing cleared revenue cleared after a winning bid is determined in an online bid auction. The dynamic floor price is predicted from a cascading classifier strategy implemented through a series of cascading machine learning based classifier models that have been trained.

Abstract: A system and method enable exploration of cold ads in an online information system. Cold ads are ads that are new to the system and do not yet have reliable click through rate (CTR) estimates or click probabilities. The method and system selectively boost the click probabilities of cold ads to increase their likelihood of participating in and winning an auction so that the cold ad get more impressions, but without adversely affecting revenue in a production environment when cold ads are introduced.

Abstract: To maximize the accuracy and efficiency of predicting users that will enjoy targeted content, a proposed content selection solution looks to combine a first strategy of utilizing selection rules with a second strategy of utilizing machine based learning models. By combining the selection rules-based approach and the machine learning model-based approach, the proposed content selection solution is able to consider and recommend a wider range of users for each available content.

Abstract: The technologies described herein identify multiple electronic devices belonging to the same group. A computer system receives, from network accessing applications of a plurality of electronic devices, internet protocol (IP) trajectory information about the network accessing applications via a network. The IP trajectory information includes a user identifier, a list of IP addresses associated with each of the network accessing applications, and timestamps specifying times each of the network accessing applications accesses the network. The computer system identifies and removes commercial IP addresses from the list of IP addresses, analyzes IP trajectory information to retrieve a most commonly used IP address for each of the network accessing applications during a certain period, and determines that different network accessing applications belong to the same group if the most commonly used IP addresses for the different network accessing applications are the same.

Abstract: Communication accounts may contain information such as account holder names, contact lists, and communication logs. Such information may be processed for generating features that may be used as corpus for a machine learning algorithm for developing classifiers of names. Specifically, names and contact names of the accounts may be arranged in to a document according to the manner in which account holders communicate with the contacts. The document may be used for generating word embedding of the names. Names prelabeled with ethnicity together with their word embedding may be used as training data for developing ethnicity classifiers based on machine learning algorithms.

Abstract: Methods and systems to monitor viewable impressions of online advertisements are provided. A method includes receiving a request to provide an online advertisement for display on a user device. The method further includes providing an online advertisement viewability rules array to an online content publisher system in response to receiving the request. The online advertisement viewability rules array includes a plurality of rules, each rule of the plurality of rules including a definition of when a viewable impression of an online advertisement occurs on a user device. The method further includes receiving, through operation of the online content publisher system, data indicating a viewable impression of the online advertisement has occurred on the user device. The data is generated in response to a determination a viewable impression of the online advertisement has occurred on the user device according to at least one rule of the online advertisement viewability rules array.

Abstract: Methods and systems for processing viewability metrics are provided. A method includes receiving, by a processor of an online advertising platform, online advertisement viewability metrics collected by a system of an online content publisher. The online advertisement viewability metrics indicate whether a user of a user device viewed an online advertisement provided to the user device. The method further includes dividing, by the processor of the online advertising platform, the received online advertisement viewability metrics into a first online advertisement viewability metric set and a second online advertisement viewability metric set. The method further includes providing, by the processor of the online advertising platform, the first online advertisement viewability metric set to a system of a third-party analytics provider.

Abstract: A system for generating an advertisement is provided. The system may receive an advertisement request from a client device and select an advertisement from a database in response to the advertisement request. The system may identify an advertiser web server associated with the advertisement, for example a landing page. The system may retrieve a picture from the advertiser web server and integrate the picture with the advertisement to generate an enhanced advertisement. The system may serve the enhanced advertisement to the client device.

Abstract: A system can stream content items and ad items to a user interface of a client-side application (such as a web browser) without refreshing the user interface and by requesting such items from a local cache and/or a remote cache associated with the client-side application or the user interface. The remote cache can operate much like a local cache for the client-side application or the user interface. Items can be streamed to a user interface without refreshing the user interface and by requesting such items from a remote cache dedicated to caching the items that can be presented by the user interface. Because the tracking of such items and the tracking of the interactions with such items creates such large amounts of data, communicating the tracked data may be impracticable without use of a system that can effectively compress associated instrumentation data.

Abstract: An electronic system may be configured receive a set of location-based events and form the location-based events into a plurality of groups. The location-based events identify user devices that transmitted messages over the network and physical locations of the user devices when the messages were generated. The groups may be formed based on the physical locations and the number of groups to be formed. In some embodiments, the system may use k-means clustering to form the groups. The system may analyze the groups to determine a home location of at least some of the user devices identified in the set.

Abstract: Systems, devices, and methods generate a more accurate search advertising auction that considers heterogeneous attributes of advertisements for inclusions into an available advertisement space. Each advertisement considered for inclusion into the available advertisement space may be further analyzed to generate a truthful estimated price for reference during an online bidding for the advertisement space.

Abstract: Techniques are provided for automatically determining when to trigger instant search. In one technique, while a user is entering text to formulate a search query, and prior to receiving an indication that the user has completed formulation of the search query, a search assistant system determines the most popular queries that include the text the user has already entered. The search assistant system then determines whether to proactively provide, to the user, search results for the top-candidate of those completed queries. That determination may take into account factors such as whether the top-candidate qualifies as a dominant completed query, a richness metric determined for the search results for the particular completed query, and/or a satisfaction metric determined for the search results for the particular completed query.

Abstract: A system and method generates and recommends a short and pleasant path between a source s and destination d in a geo-location such as a city or city center. The routes are not only short but emotionally pleasant, offering an engaging user experience, going beyond just showing paths on a map.

Abstract: As provided herein, a domain model, corresponding to a domain of an image, may be merged with a pre-trained fundamental model to generate a trained fundamental model. The trained fundamental model may comprise a feature description of the image converted into a binary code. Responsive to a user submitting a search query, a coarse image search may be performed, using a search query binary code derived from the search query, to identify a candidate group, comprising one or more images, having binary codes corresponding to the search query binary code. A fine image search may be performed on the candidate group utilizing a search query feature description derived from the search query. The fine image search may be used to rank images within the candidate group based upon a similarity between the search query feature description and feature descriptions of the one or more images within the candidate group.

Abstract: A system and method for ranking query-advertisement combinations is disclosed. Embodiments use an online component to enhance and rank query ad combinations. The query ad combination is then reranked with a trained factorization machine. The subsequent list of ranked query-ad combinations is then output. The output may be to an auction for determine ad-query combinations having the greatest expected revenue.

Abstract: Embodiments are directed to identifying entities in content, highlighting the identified entities, and displaying an interactive chat session based on a selected entity. The interactive chat session and the content may be displayed in the same browser window. The interactive chat session may be overlaid on top of the content, inserted inline into the content, or otherwise embedded within the content. The content and the interactive chat session may both remain active in the browser window, enabling a user to conveniently read and chat about the content. The topic of the interactive chat session may be automatically selected from a hierarchical taxonomy of chat session topics, or the user may select the topic from one or more provided taxonomies.

Abstract: In one embodiment, a web browser-based scheme for combining structured data, infographic definitions, and visual styling information to render infographics and aggregate collections of infographics, referred to herein as “Vizumes” and “Personas.” In exemplary embodiments of the disclosure, a relational database and/or a file system stores user data, infographic definitions, templates and palettes; combines these elements to produce individual infographic representations or a collection of infographic/visualizations (Vizumes) on a single canvas; allows users to choose different infographic visualizations of the same underlying data; and allows users to change the layout, font style, and color palette to instantly produce different visual presentations from the same data.

Abstract: Disclosed are systems and methods for location tracking. In one embodiment, an apparatus receives a message sent to a user of a mobile device in a wireless network, and a processor determines at least one location parameter. Data is extracted from the message, and initiation of a computing function (e.g., transmission of a communication to the mobile device) is triggered by a match between the location and the data from the message.

Abstract: News search and browse experience is personalized based on user preferences. User attributes like a geographic location are obtained and news sources preferred by other users with attributes similar to those of a requesting user are identified. News sources that are popular across different user groups are eliminated and relevant news items from the remaining news sources are retrieved and presented to the requesting user.