Abstract: Examples associated with reading difficulty level based resource recommendation are disclosed. One example may involve instructions stored on a computer readable medium. The instructions, when executed on a computer, may cause the computer to obtain a set of candidate resources related to a source document. The candidate resources may be obtained based on content extracted from the source document. The instructions may also cause the computer to identify reading difficulty levels of members of the set of candidate resources. The instructions may also cause the computer to recommend a selected candidate resource to a user. The selected candidate resource may be recommended based on subject matter similarity between the selected candidate resource and the source document. The selected candidate resource may also be recommended based on reading difficulty level similarity between the selected candidate resource and the source document.

Abstract: A learning graph is generated for documents according to a sequencing approach. The learning graph includes nodes corresponding to the documents and edges. Each edge connects two of the nodes and indicates a sequencing relationship between two of the documents to which the two of the nodes correspond that specifies an order in which the two of the documents are to be reviewed in satisfaction of the learning goal. The learning graph is a directed graph specifying a learning path through the documents to achieve a learning goal in relation to a subject.

Abstract: Systems and methods associated with external resource identification are disclosed. One example method may be embodied on a non-transitory computer-readable medium storing computer-executable instructions. The instructions, when executed by a computer may cause the computer to perform the method. The method includes classifying a segment of a document into a member of a set of topics discussed within the document. The method also includes identifying, based on the structure of the segment and keywords from the segment, information that a reader of the document could seek upon reading the segment. The method also includes obtaining, based on the member of the set of topics, a set of candidate external resources that potentially contain the information. The method also includes presenting, in response to a user interaction with the document, a member of the set of candidate external resources identified as being likely to contain the information.

Abstract: Examples associated with reading difficulty level based resource recommendation are disclosed. One example may involve instructions stored on a computer readable medium. The instructions, when executed on a computer, may cause the computer to obtain a set of candidate resources related to a source document. The candidate resources may be obtained based on content extracted from the source document. The instructions may also cause the computer to identify reading difficulty levels of members of the set of candidate resources. The instructions may also cause the computer to recommend a selected candidate resource to a user. The selected candidate resource may be recommended based on subject matter similarity between the selected candidate resource and the source document. The selected candidate resource may also be recommended based on reading difficulty level similarity between the selected candidate resource and the source document.

Abstract: Systems and methods associated with external resource identification are disclosed. One example method may be embodied on a non-transitory computer-readable medium storing computer-executable instructions. The instructions, when executed by a computer may cause the computer to perform the method. The method includes classifying a segment of a document into a member of a set of topics discussed within the document. The method also includes identifying, based on the structure of the segment and keywords from the segment, information that a reader of the document could seek upon reading the segment. The method also includes obtaining, based on the member of the set of topics, a set of candidate external resources that potentially contain the information. The method also includes presenting, in response to a user interaction with the document, a member of the set of candidate external resources identified as being likely to contain the information.

Abstract: Examples of the present disclosure may include methods, systems, and computer readable media with executable instructions. An example method for determining document structure similarity can include segmenting path sequences (206) of Document Object Model (DOM) trees (120, 462) from a number of web pages (202) into B components (561). Path signals (210) corresponding to the path sequences (206) are determined based on a count of the occurrences of particular paths in the Bthe component (571), and unique path signals (210) are transformed into discrete wavelet signals (214)(572). The discrete wavelet signals (214) are analyzed at multiple DOM tree resolution levels (573).

Abstract: Photos taken by a user over a period of time are accessed to obtain a location history and visual features of the photos. A user profile is generated from the location history and the visual features. Recommendations are provided to the user based on at least one of the location history and the user profile.

Abstract: A method for producing web page content includes identifying blocks within a web page. The blocks are selectively assembled into sections. The sections are selectively assembled into article candidates. An article candidate that includes article content is distinguished from article candidates that do not include article content. Content is produced only from the article candidate distinguished as including article content.

Abstract: A system can include a print history analyzer to generate history data based on a document history that includes a list of documents selected to be printed. The history data can characterize a content and layout of documents selected for printing. The system can also include a user print profile builder to generate a user print profile based on the history data. The user print profile can characterize printing preferences of a user. The system can further include a recommendation engine to generate a composite to-print product for the user. The composite to-print product can be based on the user print profile.

Abstract: Inferring facts from online user activity includes performing an analysis of a uniform resource locator of a web page in response to predetermined user activity, mapping data about the web page to a structured object based on the analysis, and inferring a fact about the user activity based on the mapped data.

Abstract: Methods and apparatus for creating in-video objects for a video file include identifying a number of segments of the video file, creating a metadata file containing attributes of the segment for each of the segments, and creating a table of contents for the video content, the table of contents including visual representations of each of the segments.

Abstract: A request for print content is received at a network server system. The request includes variable user input. Webpage content is obtained based at least in part on the variable user input. A subset of the webpage content is identified as print content. A print-ready layout of the print content is formed and the print content in the print-ready layout is provided, via network connection, to a client in response to the request.

Abstract: A system can include a print type classifier to receive a print message that indicates that a file has been selected to be printed. The print type classifier can also determine a print type of the file. The system can also include a print content analyzer to assign a category to the file characterizing a topic of the file based on the content of the file. The print type analyzer can also generate a content representation of the file that characterizes a summary of content of the file. The system can further include a recommendation engine to provide supplemental content based on at least one of the print type, the category and the content representation of the file, wherein the supplemental content is in a printable format.

Abstract: Semantically ranking content in a website (110) with a computerized ranking device (105) includes: parsing content from the website (110) into multiple autonomous content blocks (415-1 to 415-17) with the computerized ranking device (105) and assigning an importance ranking with said computerized ranking device (105) to each of the content blocks (415-1 to 415-17) based on a degree to which a substance of the content block (415-1 to 415-17) is relevant to one of a plurality of predefined categories.

Abstract: In a communication network architecture including mobile equipment that employs multiple functions selectable for use by the user, the functions having respective measurable parameters, a service provider monitors the user's behavior with, and use of, the mobile equipment. An agent, such as software installed on-board the mobile equipment, measures parameters that are related to the user's behavior and use of the mobile equipment, and communicates the measured parameters to the service provider, over the communication network. The agent detects change of such user behavior and use, and accordingly changes parameters to measure and report on.

Abstract: An image representation (204) of a portion of a web page (202) accessible at a network address is generated as one or more image files (226). The image representation is accessible at a shortened network address.

Abstract: A method and system for extracting Web content is disclosed. In one embodiment, Web content in a Webpage is extracted by identifying paragraphs in the Web content based on line-break node determination. A range of text-body associated with the identified paragraphs is then identified using a maximum scoring subsequence. Further, the identified text-body is refined using a heuristic rule of substantially horizontal alignment. Furthermore, one or more titles and one or more images associated with the Web content are extracted. Moreover, the Web content including the identified paragraphs, the one or more titles and the one or more images are outputted.

Abstract: Examples of the present disclosure may include methods, systems, and computer readable media with executable instructions. An example method for determining document structure similarity can include segmenting path sequences (206) of Document Object Model (DOM) trees (120, 462) from a number of web pages (202) into B components (561). Path signals (210) corresponding to the path sequences (206) are determined based on a count of the occurrences of particular paths in the Bth component (571), and unique path signals (210) are transformed into discrete wavelet signals (214)(572). The discrete wavelet signals (214) are analyzed at multiple DOM tree resolution levels (573).

Abstract: A system can include a print type classifier to receive a print message that indicates that a file has been selected to be printed. The print type classifier can also determine a print type of the file. The system can also include a print content analyzer to assign a category to the file characterizing a topic of the file based on the content of the file. The print type analyzer can also generate a content representation of the file that characterizes a summary of content of the file. The system can further include a recommendation engine to provide supplemental content based on at least one of the print type, the category and the content representation of the file, wherein the supplemental content is in a printable format.

Abstract: Probe configuration is achieved in a measurement system in which probes are given possible configuration data depending upon conditions in an area relevant to the area of the probe. The possible probe configurations include global boundaries, such as time, and each probe then, based upon the possible configurations, selects a configuration. In one embodiment, the probe may interact with a central processor to further define the probe configuration. In one embodiment, probes may communicate with other probes, both to help define their operating environment and to optionally provide configuration data to another probe.