Y10S707/99936

Sending and tracking document data sent via URL

A resume database system allows for resume records on the resume database system to be viewed by others via a Uniform Resource Locator, URL. In addition, in response to instructions from an authorized user of the resume database system, input from an unauthorized, but otherwise verified, source can be added to the database by the resume database system. The verified user accesses the resume database and completes any necessary forms via a web browser and submits the information. The authorized user defines the actions that the verified user is allowed to take. These actions include, for example, only being able to review resume information, or being able to add information to the resume database without needing training on the operation of the database. A resume database server system coordinates the activity of the authorized and verified users. Communications between all three users is accomplished via a computer network.

SYSTEMS AND METHODS OF TASK CUES
20200320546 · 2020-10-08 ·

A computing system for encouraging the performance of a task comprises association data, a proxy module, a display module, and a reward module. The association data associates tags with stimuli related to performing tasks. The proxy module is configured to receive encoded data, to identify tags in the encoded data that have associated stimuli in the association data, and to generate modified encoded data that includes data representative of at least one of the stimuli. The display module is configured to receive the modified encoded data, to display information based at least in part on the modified encoded data, and to provide at least one mechanism for a user to perform a task related to at least one of the stimuli. The reward module is configured to reward a user for performing tasks related to the stimuli.

Method and apparatus for photograph finding
10776430 · 2020-09-15 · ·

Digital image data including discrete photographic images of a variety of different subjects, times, and so forth, are collected and analyzed to identify specific features in the photographs. In an embodiment of the invention, distinctive markers are distributed to aid in the identification of particular subject matter. Facial recognition may also be employed. The digital image data is maintained in a database and quarried in response to search requests. The search requests include criteria specifying any feature category or other identifying information, such as date, time, and location that each photograph was taken, associated with each photograph. Candidate images are provided for review by requesters, who may select desired images for purchase or downloading.

Search engines and systems with handheld document data capture devices

Embodiments of the disclosed innovations provide systems and methods for locating data associated with rendered documents. Some embodiments support the use of a handheld document data capture device.

METHOD AND/OR SYSTEM FOR PERFORMING TREE MATCHING
20190384792 · 2019-12-19 ·

Embodiments of methods, apparatuses, devices and/or systems for performing tree matching are disclosed.

INTERFACE FOR A UNIVERSAL SEARCH
20190347300 · 2019-11-14 ·

A search engine may perform a search for a user search query over a number of possible search categories. For example, the search query may be performed for general web documents, images, and news documents. The search engine ranks categories based on the search query and/or the documents returned for each category and presents the search results to the user by category. Higher ranking categories may be presented more prominently than lower ranking categories.

Interface for a universal search

A search engine may perform a search for a user search query over a number of possible search categories. For example, the search query may be performed for general web documents, images, and news documents. The search engine ranks categories based on the search query and/or the documents returned for each category and presents the search results to the user by category. Higher ranking categories may be presented more prominently than lower ranking categories.

Methods and Apparatus for Querying a Relational Data Store Using Schema-less Queries

The invention provides, in one aspect, a method of searching an RDF triples data store of the type in which the triples are maintained in accord with a first storage schema. The method includes inputting a first query specifying RDF triples that are to be identified in the data store. That first query assumes either (i) that the triples are stored in a schema-less manner (i.e., with no storage schema) or (ii) that the triples are maintained in accord with a second storage schema that differs from the first. The method further includes generating, from the first query, a second query that specifies those same RDF triples, yet, that reflects the first storage schema. That second query can be applied to the RDF triples data store in order to identify and/or retrieve the desired data.

Reciprocal data file publishing and matching system
10360181 · 2019-07-23 ·

A method of reciprocally publishing and matching data files by facilitating the creation of Category A and Category B data files having a respective sets of characteristics defined utilizing a common language architecture, associating enhancement objects with each data file, identifying characteristics in each data file which must be met by other data files, weighting characteristics in each data file differently from other characteristics in the same data file, enabling the selection of participation levels for each data file in marketspaces, and matching Category A data files participating in particular marketspaces to Category B data files participating in the same marketspaces using the common language architecture, the enhancement objects, the weights and the required characteristics.

Computer readable electronic records automated classification system

Classifying an electronic document in a computer-based system is disclosed. For each classification instance in a plurality of classification instances, a confidence data indicating a degree of confidence that the electronic document is associated with that classification instance is determined. A classification, based on a first classification instance in the plurality of classification instances, is assigned without human intervention to the electronic document if the confidence data associated with the first classification instance exceeds a first threshold.