Abstract: One or more computing devices, systems, and/or methods for determining activity patterns based upon user activity and/or performing operations based upon the activity patterns are provided. For example, activity performed using a communication interface associated with a user account may be detected. The activity may be analyzed to determine an activity pattern associated with a first set of conditions. The activity pattern may be stored in a user profile associated with the user account. The user profile may comprise a plurality of activity patterns. Each activity pattern of the plurality of activity patterns may be associated with a set of conditions of a plurality of sets of conditions. It may be determined that the first set of conditions are met. Responsive to determining that the first set of conditions are met, one or more operations associated with the activity pattern may be performed.

Abstract: Systems, methods and computer program products for providing information associated with an attachment (e.g., attachment received through an instant message system, online collaboration tool, electronic message and the like). A sidebar may allow a user to view comprehensive profile and content information associated with the attachment using an attachment information viewer. The sidebar also may allow the user to switch between a message attachment information view (e.g., to facilitate browsing of the document or attachment) and a person profile information view (e.g., to facilitate browsing of personal or public data).

Abstract: A system and method are disclosed for providing geocoded web content to a user based on a specific geographic location specified by the user. A determination module receives a geographic location from the user and determines latitude and longitude coordinates associated with the geographic location from a geographic information database. The determination module further determines a geographic boundary associated with the latitude and longitude coordinates based at least in part on an area of interest surrounding the geographic location. A web content search module determines web content comprising substance associated with a location within the geographic boundary. A front end interface transmits the determined web content for display in an order based at least in part on distance from the location associated with the web content to the geographic location.

Abstract: One or more computing devices, systems, and/or methods for determining thresholds are provided. For example, first activity associated with a plurality of client devices may be detected. A first activity distribution associated with the plurality of client devices may be determined based upon the first activity. A plurality of peaks of the first activity distribution may be identified. A plurality of gradients associated with pairs of peaks of the plurality of peaks may be determined. A target peak of the plurality of peaks may be determined based upon the plurality of gradients. A threshold amount of activity associated with the first activity may be determined based upon the target peak. A first set of activity associated with a first client device may be detected. A fraudulence label associated with the first client device may be determined based upon the first set of activity and/or the threshold amount of activity.

Abstract: The present teaching relates to methods, systems, and programming for data assignment in a distributed system. In one example, a plurality of tables is obtained. Each of the plurality of tables includes a plurality of buckets. Each of the plurality of tables is generated based on a same set of keys and a different function. The buckets in the plurality of tables are projected into different partitions. Data in the plurality of tables are assigned to a plurality of nodes in the distributed system such that data in buckets that are projected into a same partition are assigned to a same node in the distributed system.

Abstract: One or more computing devices, systems, and/or methods for displaying videos based upon selectable inputs associated with tags are presented. For example, a video may be identified. A transcript, associated with the video, may be determined. The transcript may comprise a plurality of text segments. The transcript may be analyzed to generate a plurality of sets of tags associated with the transcript. A plurality of selectable inputs may be generated based upon the plurality of sets of tags. A video interface, comprising the plurality of selectable inputs, may be displayed on a first device. A selection of a first selectable input may be received via the video interface. The first selectable input may be associated with a first tag of the plurality of sets of tags and a first time of the video. A second device may display the video based upon the first time of the video.

Abstract: A system is provided for retargeting advertisements and is based on a database storing user behavior data related to information for a plurality of consumers. An index-lookup processes the user behavior data and translates the user behavior data into a plurality of indices. A data loading module processes the plurality of indices and generates a multi-indexed user behavior cube. An online query module receives a request for an advertisement and processes the request to determine one or more related user attributes and retrieves user behavior data from the multi-indexed user behavior cube using the related user attributes. An ad recommendation module receives the set of user behaviors and generates a list of recommended advertisements using the set of user behaviors data and an advertiser retargeting criterion.

Abstract: Methods, systems, and computer-readable media are disclosed for generating and managing audio content, such as blogcast episodes. In accordance with one implementation, a computer-implemented method is provided that includes operations performed by at least one processor including retrieving a plurality of stored snippets of media content related to a blogcast episode, the plurality of stored snippets of media content including one or more snippets of user-contributed content. The method also includes receiving snippet metric data associated with one or more snippets of user-contributed content. In addition, the method includes selecting two or more snippets of the plurality of stored snippets of media content including at least one snippet of user-contributed content and generating a blogcast episode comprising the two or more snippets of the plurality of snippets of media content.

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: Disclosed are systems and methods for improving interactions with and between computers in content providing, searching and/or hosting systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide a novel framework that uses data related to users' personal, online and real-world activity, and inbox viewport information to identify messages that the users will interact with the next time the users view their inbox. Based on this, the user's inbox view can be modified so that third party messages can be situated amongst those messages (e.g., adjacent to or within n positions), so that the user will most likely view that message when interacting with the messages deemed important to the user. Thus, the disclosed framework provides mechanisms for message platforms, systems and applications to modify a user's inbox to strategically position messages from third party providers to capture the attention of the receiving user.

Abstract: The present invention provides protocol enhancements and variations to the current state of RTB that provide additional buying methods to address the challenges associated with RTB, such as resource intensiveness for both exchanges and bidders and lack of a truly automated way of guaranteeing the win rates necessary to fulfill guaranteed campaigns with predictable risk. These methods include a) open bids that are automatically entered in future auctions in case of loss, b) buy orders for time-limited, small quantities of impressions specified either with a live auction bid response or via a separate interface, and c) guaranteed buy orders that allow impressions to be secured without a live auction in return for a premium above fair market value.

Abstract: Systems and methods are disclosed for determining a topology of a network comprising a plurality of intermediary devices and intermediary paths. One method includes transmitting probes having a TTL value with a destination set to a destination device; receiving, for each probe transmitted, a response including an IP address of a responding device; determining whether more than one responding device has responded to the probes; determining whether more than one responding device has been found for two previous transmissions of probes when more than one responding device has responded to the probes; and transmitting, for each more than one responding device, probes having a decreased TTL value with a destination set to one of the IP addresses of the more than one responding devices, when more than one responding device has been found for two previous transmissions.

Abstract: The present teaching relates to rewriting a query and providing search results. In one example, a plurality of queries is obtained. For each of the plurality of queries, one or more search results are identified. The one or more search results have been obtained in response to the query and have been previously selected by a user submitting the query. A plurality of titles is obtained. Each of the titles corresponds to one of the one or more search results with respect to one of the plurality of queries. A model is generated based on the plurality of queries and the plurality of titles. The model is to be used for rewriting a query.

Abstract: The present teaching relates to scheduling transactions at a node in a data system. In one example, a request is obtained for performing a first transaction at the node. A mixing condition associated with the first transaction is determined. The first transaction is initiated. The first transaction is suspended when the mixing condition is met. A second transaction is carried out at the node. The first transaction and the second transaction are directed to a same portion of data at the node.

Abstract: The present teaching relates to distributed deep machine learning on a cluster. In one example, a request is received for estimating one or more parameters associated with a machine learning model on a cluster including a plurality of nodes. A set of data is obtained to be used for estimating the one or more parameters. The set of data is divided into a plurality of sub-sets of data, each of which corresponds to one of the plurality of nodes. Each sub-set of data is allocated to a corresponding node for estimating values of the one or more parameters based on the sub-set of data. Estimated values of the one or more parameters obtained based on a corresponding sub-set of data allocated to the node, are received from each of the plurality of nodes. The one or more parameters of the machine learning model are estimated based on the estimated values of the one or more parameters generated by at least some of the plurality of nodes.

Abstract: Systems and methods are disclosed for cryptographic signing of content requests. One method includes receiving, at a content network, a content request from a publisher website, the publisher website purporting to be associated with a publisher domain. At the content network, a public key may be received associated with the publisher domain. At the content network, at least one policy may be received associated with the publisher domain. It may be determined whether the content request comprises a cryptographic signature. If it is determined that the content request does not comprise a cryptographic signature, content may or may not be provided to the publisher website according to the policy from the publisher domain. If it is determined that the content request comprises a cryptographic signature, the cryptographic signature of the request may be validated using the public key.

Abstract: Techniques are provided for integrating rich media into a scalable, multi-user, web-based calendar system having multiple interconnected web-based interfaces. Rich media refers to digital media that exhibit either, or a combination, of dynamic or interactive properties, including video content, audio content, graphical content, hyperlinks, or browser-based applications to such content, that are associated with a particular calendar event. Rich media events are created and stored in a central repository, and are accessible for adding to users' own calendar events. Rich media calendar events include display templates that define display characteristics for the rich media calendar event. Display templates also provide rich media applications for rendering and displaying the rich media content in the event. Delivery schedules are employed to automatically control the display of rich media calendar events.

Abstract: The present teaching, which includes methods, systems and computer-readable media, relates to ranking content from multiple disparate sources including a person's personal data sources and non-personal data sources. The disclosed techniques may include obtaining a plurality sets of content associated with a request from a person, each of which being from a separate data source, and applying a model for each set of content to obtain a set of features for each piece of content in the set of content, wherein the model is specific to a data source from where the set of content comes from. Each set of features for each piece of content of the set of content may be normalized with respect to a common space to generate a normalized feature set. Further, a score for each piece of content from a set of content may be estimated based on the normalized feature set for the piece of content, and based on the score of the piece of content, each piece of content of the plurality sets of content may be ranked.

Abstract: A unified end-user notification platform delivers event alerts to different types of clients including mobile devices and HTTP clients. Users can subscribe to a plurality of notification channels and select from the associated various delivery options via a single user interface. The events are received by the unified notification platform which matches the received events with the user subscription data to identify subscribers and their respective delivery options. Corresponding event alerts are generated and delivered based on the user or subscriber specified options. Multiple event alerts corresponding to public and private data notification channels are provided to a user device via a single connection.

Abstract: Methods, systems, and computer-readable media are disclosed for dynamic partitioning in distributed computing environments. One method includes: receiving a first data set and a second data set; mapping the first data set into a first set of key-value pairs; mapping the second data set into a second set of key-value pairs; estimating, using a sketch, a frequency count for each key based on the first set of key-value pairs and the second set of key-value pairs; determining whether the estimated frequency count for each key is greater than or equal to a predetermined threshold; and partitioning the key when the estimated frequency count for the key is greater than or equal to the predetermined threshold.