A decision tree generating apparatus includes an information gain calculator and a decision tree generator. When a classification target data set including a plurality of pieces of classification target data respectively having different attributes with attribute values assigned thereto is segmented into subsets in a form of a decision tree, the information gain calculator calculates an amount of entropy reduction on each attribute, and calculates an information gain, based on the amount of reduction in the entropy and reliability of a user's answer responsive to an inquiry asking about the attribute. The decision tree generator successively determines an attribute having a maximum information gain to be a node of the decision tree by recursively iterating the segmentation of the pre-segmentation data set, and generates the decision tree that is to be used to determine an order of the inquiries.

Computerized systems for providing a personalized computing experience are provided through enriched calendar event data. The enriched calendar event data provides an event type, additional location data for the calendar event, and the likely user attendance. To determine the enriched calendar event data, a user location pattern, and a calendar event pattern are determined. As future calendar events are detected, a set of features for the future calendar events is determined. Past calendar events having features similar to the detected future calendar event can then be determined. A user location for the similar past calendar events can be determined to form a user behavior pattern model indicating a user location for the similar past calendar events. A predicted user location for the future calendar event can be determined based upon the similar past calendar events and the user behavior pattern model.

In one aspect, there is provided a system configured to receive time series data collected by a first sensor. The time series data collected by the first sensor can be stored in a first data array associated with the first sensor. The first data array can stored proximate to a second data array that includes time series data collected by a second sensor. The first data array can be stored proximate to the second data array based on the first and second sensor being in a same sensor group. A query can be received to perform a processing algorithm on a subset of time series data. The subset can be generated by retrieving the first and second data array. The query can be executed by applying the processing algorithm to the subset of time series data. Related methods and articles of manufacture are also provided.

A method of displaying secondary content is disclosed. The method receives historical behavior data and a search query for a user. The method extracts behavior features from the user's historical behavior and scores the user based on the behavioral features to create a user score specific to secondary content. The method uses the user score to display user specific secondary content to the user.

Embodiments of the invention can include a system and method for managing a plurality of data feeds to be loaded into a database. The method includes obtaining a script which specifies a query. The method includes executing the query against a source to extract a result set and consulting the script to determine a format for the data feed. The method also includes converting the result set in accordance with the format to create the data feed and transporting the data feed to be loaded into the database.

A processing device identifies a set of content items to be included in a feed displayed to a user of a social network platform in a user interface of the social network platform, wherein the set of content items are hosted by a content sharing platform. For each content item from the set of content items, the processing device identifies one or more bucketing tokens provided by the content sharing platform, wherein each bucketing token comprises a unique identifier that identifies a plurality of content items as being associated with a group of users of the content sharing platform that have similar interests. Further, the processing device improves a ranking score of each content item from the set of content items that has at least one bucketing token matching a bucketing token associated with the user of the social network platform, wherein the set of content items to be included in the feed displayed to the user in the user interface of the social network platform is to be modified based on improved ranking scores of respective content items from the set of content items.

In one embodiment, a method includes receiving, from a client system associated with a first user, a request to access a user-card interface. The method includes generating, in response to the request, multiple user-cards, each user-card being associated with a pre-selected query. Each user-card includes references to second users matching the pre-selected query associated with the user-card. The method includes calculating a user-card score for each user-card. The user-card score represents a relevance of the pre-selected query to the first user and a relevance of the second users referenced in the user-card to the first user. The relevance of each second user referenced in the user-card is based on an affinity coefficient of the first user with respect to the second user. The method includes sending, to the client system, instructions for presenting the user-card interface with user-cards in ranked order based on the user-card score associated with each user-card.

The playback of video content upon a display is enhanced through the unobtrusive presentation of extrinsic data upon the same display. A video content feature is rendered on a display. A quantity of extrinsic data relevant to a current time in the video content feature is determined based at least in part on viewing history of a user. A graphical element presenting at least a portion of the extrinsic data is rendered on the display while the video content feature is also being rendered on the display.

Various systems and methods are provided for accessing and traversing one or more data structures and generating a functional user interface that can enable non-technical users to quickly and dynamically search for resources of an organization and/or associated documents, events, entities, and/or other data. The user interfaces are interactive such that a user may make selections, provide inputs, and/or manipulate outputs. In response to various user inputs, the system automatically accesses and traverses data structures relating to resources, documents, events, entities, and other data, identifies resources, documents, events, entities, and/or other data that meet search criteria, and returns search results including resources that meet the search criteria and/or resources that are associated with documents, events, entities, and/or other data that meet the search criteria. Resources, documents, events, entities, and other data can be represented by respective types of data structures, which may be associated with other types of data structures. Properties or fields of data structures can have security settings and permissions associated with them.

A system and method for collaborative activity support is provided. A server establishes a collaboration place that is accessible by a plurality of remote clients and supports a plurality of collaboration activities. The server can be configured to provide primary display data to each of a plurality of client computers associated with the authorized users simultaneously accessing the collaboration place to cause each of the plurality of clients to display the primary display data in a primary display of a corresponding collaboration place interface. Responsive to detecting a request from a first collaboration place interface at a first client computer of the plurality of client computers to include a secondary display with the primary display in the corresponding collaboration place interface, wherein the secondary display is configured to display collaboration place data associated with a different collaborative activity than the primary display prior to escalation.