A computing device may include a memory and a processor configured to cooperate with the memory to receive data from browsers of client devices configured to remotely access different Web applications through the browsers, with the data being indicative of user actions performed within the different Web applications. The processor may also be configured to cooperate with the memory to generate a data structure separately from the different Web applications based upon the received data, determine an action to perform based upon the data structure, and perform the determined action.

A computer system is provided that includes at least one processor configured to execute a host virtual machine configured to host a session with at least one client computer device. The at least one processor is further configured to execute a web browser application configured to access media content from a remote media source, receive encoded media content from the remote media source in a media container format, and execute a multi-media redirection module configured to intercept the encoded media content from being processed by a decoding module of the web browser application. The multi-media redirection module is configured to redirect the encoded media content to the at least one client computer device.

A device, system and method for providing provider objects from a cache is provided. Provider objects are received representing items provided by provider systems. The provider objects are categorized by reusability and/or context characteristics and stored as categorized. A request is received for one or more items provided by the one or more provider systems. A stored and categorized provider object is determined to meet criteria associated with the request, including one or more of a respective reusability and respective context characteristics of the provider object. In response to determining that the provider object, that meets the criteria, is estimated to be currently valid, a response corresponding to the provider object is provided.

A data query method, an electronic device, and a storage medium are provided, and relate to the field of computer technologies, and in particular to the field of intelligent search. The method includes: determining an extraction location of target data according to a data query request; determining a data extraction strategy corresponding to the extraction location; and extracting the target data at the extraction location according to the data extraction strategy, and using the target data as a data query result. The above solution solves the technical problems of excessive system overhead and poor real-time performance in the existing deep paging mechanism.

A method includes extracting a set of candidate keywords from clickstream data and natural language processing of product text for a plurality of search queries. The set of candidate keywords are filtered based on the clickstream data. The set of candidate keywords as filtered are ranked based on the clickstream data. The set of candidate keywords as ranked are clustered to remove near duplicates. The set of candidate keywords as ranked for a respective search query is output.

A server accesses a plurality of users' sessions with the web server. Each user session indicating a page flow of a corresponding user session for a plurality of web pages provided by the web server. The server generates a learning model using a neural network based on the plurality of users' sessions. The learning model is configured to predict a next user activity based on a current page flow of a current user session. The next user activity indicating one of continuing the current user session by visiting another web page provided by the web server and ending the current user session. The server dynamically adjusts a content of a web page based on the predicted next user activity.

An apparatus for decoding and rendering or otherwise processing, manipulating, or outputting a variety of digital data is provided. The apparatus may include a browser engine configured to receive first encoded digital data. The apparatus may include a browser extension configured to intercept the first encoded digital data transmitted in response to a first request from the browser engine. The browser extension may be configured to intercept a first decoder written in a platform-independent syntax for decoding at least a portion of the first encoded digital data. The browser extension may be configured to point the browser engine to one or more local storage locations of the first encoded digital data and the first decoder.

A server accesses a plurality of users' sessions with the web server. Each user session indicating a page flow of a corresponding user session for a plurality of web pages provided by the web server. The server generates a learning model using a neural network based on the plurality of users' sessions. The learning model is configured to predict a next user activity based on a current page flow of a current user session. The next user activity indicating one of continuing the current user session by visiting another web page provided by the web server and ending the current user session. The server dynamically adjusts a content of a web page based on the predicted next user activity.

Systems and methods are provided for improving web-based document retrieval and object manipulation. In an implementation, objects within web documents (e.g., a web page) are manipulated when the objects are visible through a viewport of a user's web browser. According to a method, an object selected from a web document is manipulated when that selected object is displayed within the viewport of the user's browser. The manipulation may include downloading content associated with the stored object and additionally, or alternatively, executing a script associated with the stored object. Additionally, or independently, methods may be provided for blocking the download of an object in a retrieved web document until that object is displayed or visible in the user's browser viewport.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a first input associated with a bookmark and, in response to receiving the first input, obtaining context data for deriving annotations for the bookmark. An annotation engine of a system obtains multiple annotations that are derived using information included in the context data and a transcription of the first input associated with the bookmark. The annotation engine generates an importance value for each annotation. The importance value characterizes a relationship between each annotation and at least one of: the information included in the context data; or the transcription of the first input. The annotation engine generates a set of annotations for retrieving the bookmark. Each annotation in the set of annotations is generated from the obtained multiple annotations and each annotation has an importance value that exceeds a threshold value.