Disclosed are systems, methods and computer program products for showing search information. In one aspect of the invention, a method for showing search information includes processing, by a hardware processor, a search query input of a user; providing, via a user interface component, a preview of a number of search results corresponding to at least a portion of the processed search query input; detecting, by the hardware processor, activation of the user interface component; and displaying at least a portion of the search results in response to the activation of the user interface component.

System and method for displaying search results

Controlling access to nodes in a relational graph at query time by using an approximate membership query (AMQ) filter and ordered queries based on historic grants or denials of access according to security context enables a more efficient querying of the relational graph while preserving access controls. Security contexts that grant or deny access to a node are stored in an associated AMQ filter and are queried according to the subject's security context in an order based on the frequency at which the security contexts have previously granted or denied access to nodes in the relational graph.

Access controlled graph query spanning

Particular embodiments provide a watch list of shows to users. The watch list is personalized for each user. Also, the watch list is dynamically organized to predict an order the user will want to watch the shows. Particular embodiments analyze historical user behavior with respect to the timing for recurring releases of the episodes for shows to determine the order of the shows in the watch list. The watch list is organized in a way that a user may select a “watch all” button where unseen episodes for the shows in the watch list are all played to the user in an order that is predicted to be the order in which the user would want to watch the shows. Providing the watch all button makes it important to predict the order of the shows accurately.

Personalized Generation of Watch List of Shows in a Video Delivery System

The disclosed embodiments relate to techniques for supporting enhanced content-item searches in an online content-management system. These techniques generally operate by gathering information that is available in the online content-management system (such as how often each content item has been updated, how many users have accessed the content item, and how many identical copies of the content item are stored in the online content-management system) and using this information to identify relevant content items that are likely to be important to a user. This enables the online content-management system to perform searching operations that return relevant content items to the user.

Supporting enhanced content searches in an online content-management system

Usage information relating to interaction with content is integrated with operation of a system, such as a content management system. The usage information is collected, stored and provided to the system. The usage information may be integrated with the operation of the system in many different ways (e.g. recommendations for other content, most viewed content, most “liked” content, content viewed by a type of user, and the like). The usage information may also be used to adjust different operations of the service. For example, the usage information may be used to adjust: a retention time of content (e.g. don't delete a recently viewed document), a crawl policy of content; a backup policy of content; restore schedules; identification of storage tier levels; and the like.

Integrating usage information with operation of a system

A search driven user interface (UI) is used for navigating content and usage analytics within a system. The system is configurable such that users of the system may configure the usage events that are used to collect the usage information and configure the display of the content and the usage analytics both in a navigation mode and in an analytics mode. For example, a user may configure an overview page on a product catalog to show main product categories and popular products when in navigation mode and when an analytics mode is selected, the page shows different usage analytics for the main product categories (e.g. view counts, purchase event counts, popularity, demographic information, and the like). A user may switch between the navigation mode and the analytics mode while exploring the content of the data selection.

Search driven user interface for navigating content and usage analytics

A query box application provides an inline and context aware query box. An interaction with a content displayed in a client application is detected, in which the interaction is interpreted to activate a query box. The query box is configured based on a context in response to a determination of the context associated with the content. A text of a part of the content may be used to search local and external sources to find resulting data associated with the text. The query box may be rendered with the resulting data in proximity to a location associated with the interaction.

Inline and context aware query box

Search results returned by ad hoc queries integrate search results with usage analytics calculated from collected usage information for a system, such as a content management system. In response to receiving a query, the query is submitted to the system to obtain search results. Information from the usage analytics is integrated with the obtained search results. A search index of the system may include all/portion of the usage analytics such that the obtained results from the system may already be integrated with the usage analytics. The system is configurable such that users of the system may configure the usage events that are used to collect the usage information. The users may also configure parameters relating to the usage events and when/how the collected information is stored. The usage analytics may also be used to filter, collapse and boost different items in the search results.

Ad-hoc queries integrating usage analytics with search results

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