Amazon Technologies, Inc.

Facebook, Inc.

Aman Preet Singh

Aliasgar Mumtaz Husain

Ramanathan Muthiah

Samrajya Lakshmi Gadde

Rakesh Kumar Singh

A social networking system maintains content items associated with various topics. Each topic may be associated with a start time and/or an end time defining a time range during which content items associated with the topic are most likely to be relevant to social networking system users. The start time and/or end time associated with a topic may be based on information received from a user of the social networking system or on the occurrence of an event. The social networking system computes a score indicating a predicted affinity of a viewing user of the social networking system for each content item eligible for presentation to the viewing user and adjusts the affinity score based on a start time and/or an end time of an associated topic. One or more content items are selected for presentation to the viewing user based on the affinity score associated with each content item.

Selecting time-specific content for presentation to a user of a social networking system

Described in this disclosure are systems and techniques for acquiring query data which includes an execution plan descriptive of how queries used to access a database are processed. In one implementation, an inquiry analysis system uses a copy of a production system to generate execution plan information. The copy includes tables, relationships, metadata, and so forth, but may omit data in the tables, allowing for a compact installation. By analyzing the query data, usage trends, inefficient queries, unused fields, and so forth may be determined and used for maintenance or performance improvements.

Query data acquisition and analysis

Data is checked against data quality rules and a corresponding report is generated. The report is provided to an entity, which may be a subscriber. Data correction schema is used to correct stored data. The data quality rules or the data correction schema may be amended or modified according to user input, which may be a subscriber entity. The subscriber or another entity may be billed for data quality or correction services as performed. A budget value may limit the scope or intensity of the data quality services that are performed, as well.

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Sammamish, WA, United States of America

Aman Preet Singh