Abstract:
The present teaching relates to request management and data recovery in a data system. In one example, a request is received for a transaction of data by a first node in the data system. A second node in the data system is determined based on the request. The second node is to carry out the transaction. The request is stored into a first request queue at the first node. The request is sent to the second node. A notice is obtained indicating that information associated with the transaction has been persistently stored. The request is removed from the first request queue in response to the notice.
Abstract:
The present teaching relates to monitoring data in a plurality of data sources of heterogeneous types. In one example, a request is received for monitoring data in the data sources of heterogeneous types. One or more metrics are determined based on the request. The request is converted into one or more queries based on the one or more metrics. Each of the one or more queries is directed to at least one of the data sources of heterogeneous types. A monitoring task is created for monitoring the data in the data sources based on the one or more queries in response to the request.
Abstract:
A method for providing an advertisement is disclosed. The method, to be implemented on a machine having at least one processor, storage, and a communication platform connected to a network may include receiving a request for an advertisement to be inserted into a content page to be presented to a user. The method further includes selecting an advertisement relevant to the content page and the user based on a content-advertisement index and a user-advertisement index, constructed based on user browsing context, and transmitting information indicative of the selected advertisement as a response to the request. Further disclosed is a method for generating multi-dimensional index. The method, to be implemented on a machine having at least one processor, storage, and a communication platform connected to a network may include generating a content-advertisement index based on at least one content profile and at least one advertisement profile, and generating a user-advertisement index based on at least one user profile and the at least one advertisement profile. The content-advertisement index and the user-advertisement index are used to select a relevant advertisement to be inserted in a content page that is presented to a user.