787 results about "Crowdsourcing" patented technology

A computer system and software enabling a method for assisting users who are members of a group in identifying trending items and making purchases using selected forms of payment over the Internet on web sites, mobile devices and in physical store locations from trusted vendors to locate and to take advantage of special rates and promotions that may be offered to certain users under specific circumstances. The system enables users, buyers and their social circle of friends of gift givers to identify, curate, manage and purchase gifts & services and take advantage of digital gift cards, credit cards & coupons to get the best price.

Systems and methods are provided for crowdsourcing road surface information collection. In one implementation, a method of collecting road surface information for a road segment may include receiving at least one image representative of a portion of the road segment, identifying in the at least one image at least one road surface feature along the portion of the road segment, determining a plurality of locations associated with the road surface feature according to a local coordinate system of the vehicle, and transmitting the determined plurality of locations from the vehicle to a server. The determined locations may be configured to enable determination by the server of a line representation of the road surface feature extending along the road segment.

Techniques disclosed herein provide for assisted context determination through the use of one or more servers remote to a mobile device. The one or more servers can receive location and / or other information from the mobile device and select, from a list of possible activities, a smaller list of activities a mobile device user is likely engaged in. The one or more servers can return the smaller list to the mobile device, which can use the smaller list to make a faster context determination. In creating the smaller list, the one or more servers can utilize information regarding a region in which the mobile device is located, which can be updated and modified using information received from mobile devices. Furthermore, the one or more servers can gather and share information from nearby mobile devices, enabling a mobile device to use information from nearby mobile devices to facilitate a context determination.

One or more embodiments manage web-based crowdsourcing of tasks to an unrelated group of workers. An information set associated with a task to be crowdsourced is received from at least one customer that is associated with the task. This information set comprises at least a description of the task, a reward to be provided for completion of the task, and at least one adjudication rule for accepting a task result. At least one advertising campaign for the task is created based on the information set. The advertising campaign is published for access by a set of one or more worker systems. At least one task result associated with the task is received from at least one of the set of one or more of the worker systems. The task result is compared against the rule. Task results are received and compared to the adjudication rule until the rule is satisfied.

A method and system for crowdsourcing and managing contact and profile information of a user's contacts, and exchanging business and personal contact information through a mobile device, personal computer, or a web application. The system comprises a crowdsourcing intelligence module that provides the software, analysis, and algorithms for automatically populating and updating an individual's contact information in a user's address book based on contributed information and changes made to the individual's profile by a large community of users. The module also automatically populates and updates business profile, captures business's external social and business profiles, and analyzes demographic information which can then be transmitted to users. Users may also search for job opportunities, review and purchase products and services, review the location of contacts in proximity to the user, and manage sales and account activities including lead generation, lead qualification, and better understanding their customer base.

The invention discloses a crowdsourcing system based on block chain technology and a manufacturing method thereof. The system comprises an application layer, a block chain layer and a data storage layer connected in succession. The block chain layer comprises a plurality of interconnected blocks. The blocks comprise intelligent contract templates. The application layer is used to edit and record the information of the employer and the employees. The intelligent contract templates are used for user information registration, user task crowdsourcing condition achieving, and task crowdsourcing result summing as well as for creating and modifying the intelligent contracts. The data storage layer is used to store is used to store the detailed description information about the original data information tasks and the uploaded information of the task results. The Hash value of the original data information is stored in the block chain layer. The system and the method of the invention enable the employer and the employees to complete transactions automatically without a third-party intermediary agent, and moreover, the data of the block chain layer does not rely on the central database, eliminating the problem with single point fault. And the data cannot be tampered with or traced.

In various embodiments, the present invention is directed to a decentralized and secure method for developing machine learning models using homomorphic encryption and blockchain smart contracts technology to realize a secure, decentralized system and privacy-preserving computing system incentivizes the sharing of private data or at least the sharing of resultant machine learning models from the analysis of private data. In various embodiments, the method uses a homomorphic encryption (HE)-based encryption interface designed to ensure the security and the privacy-preservation of the shared learning models, while minimizing the computation overhead for performing calculation on the encrypted domain and, at the same time, ensuring the accuracy of the quantitative verifications obtained by the verification contributors in the cipherspace.

A crowdsourcing log analysis system and methods for protecting computers and networks from malware attacks by analyzing data log information obtained from a plurality of client network. The client networks are associated with a set of network entities representing a plurality of business units or customers. The system may further comprise a plurality of server machines, each operable to execute a security product associated with a security product vendor and log associated information of at the network entities into at least one log file. The log files may be uploaded onto a breach detection platform for analysis based upon crowdsourcing principles and is operable to generate a risk factor attribute for at least one suspect entity.

A system, method, and article of manufacture for online crowd-sourcing and for communicating with a requester and with several of workers, the system includes a central controller that communicates with each requester via an interface, to receive the task(s) to be performed and to provide a response for that task(s), and with each worker via an interface, to deliver task assignments and to receive responses, the central controller further including a task assignment system that is structured and arranged to insert tasks to be performed into a priority queue multiple times and to push a next task in the priority queue to a selected worker based on information about the selected worker; and a data storage device for storing information about workers that includes a worker identification, a worker skill level, a worker accuracy rating, a list of historical tasks performed by the worker, and a list of historical tasks that the worker has not performed.

A blockchain configured system and a method for facilitating an expertise driven review and scoring of electronic documents in a crowdsourced environment. The system includes a server computer, a memory circuit and a processing circuit. The processing circuit is coupled to the memory circuit and includes or is coupled to a credentialing engine. The system further includes an expert scoring module. The system further includes a document reviewing and scoring engine coupled to the processing circuit. The document review and scoring module associates an aggregate score to the electronic document based on aggregation of the review ratings by crowdsourced experts and aggregate scores of each of the crowdsourced experts based on the set of attributes including one or more of the credentialed expertise, reputation of the expert, and the officiality.

A method and apparatus are proposed for allocating a plurality of human intelligence tasks (HIT) to corresponding human workers. An optimization problem is formulated which incorporates the objectives of reducing the time taken for the HITs to be completed, and of improving the quality of HIT results. The method and apparatus are able to provide solutions to the optimization problem in polynomial time, and to provide theoretical guarantees on the optimality of the solution. The optimization problem is formulated using a measure of a target workload for each worker and a measure of each worker's current situation.

A community of consumers of media content is created by providing users of an interactive television system with the capability to augment content and provide the augmented content to a repository. The augmented content may include rankings, votes, micro-games, user created tags, metadata, or other information associated with content. The augmented content is then made available to the community. Financial incentives may be provided to users to contribute augmented content, to rank augmented content, or to judge augmented content.

A method for calculating sales trend of a product at a store shelf based on crowdsourcing, includes receiving, by a retail store server, availability data of a product measured on a shelf in the retail store from a portable device, where the availability data is in the form of a picture acquired of the product on the shelf, identifying products on the shelf using tags attached to the shelves, calculating sales velocity and sales trends of the product from the identified products, and transmitting the sales velocity and sales trend of the product to one or more third parties' systems in a supply chain of said retail store. Products and their locations on retail store shelves have been cataloged in a product database.

Personal companions crowd-source and / or crowd-share characterizations, and optionally raw data, from real-world, virtual and / or mixed-reality experiences. Characterizations can advantageously be stored in one or more self-evolving, structured databases, and can be organized according to objects, actions, events and thoughts. Characterizations can be weighted differently for different users, and “forgotten” over time, especially in favor of maintaining higher level characterizations. Personal companions can be used to obtain additional information, and conduct interpersonal, commercial, or other interactions or transactions.

A system and method for searching information based on crowd-sourced templates comprising a user input subsystem for entering one or more search terms, a database for storing a plurality of crowd-sourced templates, wherein each template is a representation of a data collection process from a plurality of sources. Subsequent search entries with tags results in display of stored templates in descending order of rank. Templates may be ranked using crowd voting or their social relevancy. Templates may be viewed, edited, and stored on the database by other users through social network sites.

Spatial crowdsourcing systems and methods assign spatial tasks to be performed by human workers. The systems and methods can verify the validity of the results provided by workers. Every worker can have a reputation score stating the probability that the worker performs a task correctly. Every spatial task can have a confidence threshold determining the minimum quality of the accepted level of its result. To satisfy this threshold, a task may be assigned redundantly to multiple workers. A reputation score can be associated to every worker, which represents the probability that a worker performs a task correctly. A task may be assigned to a subset of workers whose aggregate reputation score satisfies the confidence of the task.

In one embodiment, a computer-implemented method for estimating an ability of a worker in a process for integrating work results of multiple workers for the same task includes acquiring, for each of one or more tasks, a work result of a preceding-stage worker and a work result of a succeeding-stage worker that works based on the work result of the preceding-stage worker. The method also includes estimating multiple parameters of a probability model in which an ability of the succeeding-stage worker conditioned by a quality of the work result of the preceding-stage worker is introduced as a conditioned ability parameter, based on the multiple work results obtained for each of the one or more tasks.

In a crowd-sourced question answering system, the user is allowed to provide clarifying information to eliminate some of the most probable solutions or answers. This allows the user to find less common solutions to a query.

Systems and methods are provided for distributing a crowdsourced sparse map for autonomous vehicle navigation. In one implementation, a method of generating a road navigation model for use in autonomous vehicle navigation may include receiving navigation information associated with a common road segment from a plurality of vehicles; storing the navigation information associated with the common road segment; generating at least a portion of an autonomous vehicle road navigation model for the common road segment based on the navigation information; and distributing the autonomous vehicle road navigation model to one or more autonomous vehicles for use in autonomously navigating along the common road segment. The autonomous vehicle road navigation model may include at least one line representation of a road surface feature extending along the common road segment, and each line representation may representing a path along the common road segment substantially corresponding with the road surface feature.

A method and system are disclosed for trip planning using crowdsourcing. Validation information from automatic ticketing validation systems is collected and used to generate validation sequences, which include an origin, destination, and boarding and alighting timestamps. A path is defined from the validation sequence as a sequence of origins and destinations on a transportation network. The frequency of the path occurring for all travelers on the network is determined, along with the duration of travel time on the path. An expected transfer time between pairs of stations on the network is calculated from the duration, the pairs of stations corresponding to an origin and a destination in the sequence. One or more paths between a pair of stations corresponding to a selected origin and destination are identified and a trip plan is generated using the identified paths which have the least determined transfer time and the highest frequency of occurrences.

The invention discloses a text classification model optimization method based on crowdsourcing feedback and active learning. The method comprises the following steps that: selecting a text dataset, dividing the text dataset into an initial training set and a residual dataset; obtaining a word from the text dataset; constructing the feature set of the text dataset, and carrying out vectorization on the text dataset; and introducing the active learning on a classification model, predicting the sentiment polarity of the text dataset subjected to the vectorization, and combining a crowdsourcing feedback information optimization model to obtain a text classification result. By use of the method, constructing is used for collecting manually annotated reasons, more user information is obtained, the subjective feeling of people is mined, crowdsourcing feedback information is fused into the model in a weight change way, and the text classification model is optimized so as to improve model classification performance. An active learning algorithm is also introduced, and an annotation sample with a highest value is picked up and handed to a crowdsourcing platform to be annotated so as to lower annotation cost. Under a limited budget, annotation accuracy is improved, and the problem that a text classification task containing label data is in shortage is solved.

Systems and methods are disclosed herein for classifying records, such as product records, using a machine learning algorithm. After training a classification model according to a machine learning algorithm using an initial training set, records are classified and high confidence classifications identified. Remaining classifications are submitted to a crowdsourcing forum that validates or invalidates the classifications or marks them as to unclear to evaluate. Invalidated classifications are automatically analyzed to identify one or both of classification values and categories having a high proportion of invalidated classifications. Requests are transmitted to analysts to generate training data that is added to the training set. The process of classifying records and obtaining crowdsourced validation thereof may then repeat. High confidence classifications may be identified using an accuracy model trained to relate an accuracy percentage to a confidence score output by the classification model.

A method for clustering images includes acquiring initial image data including a scene of interest. A 3D model is constructed of the scene of interest based on the acquired initial image data. Additional image data including the scene of interest is acquired. The additional image data is fitted to the 3D model. A line-of-sight of the additional image data is estimated based on the fitting to the 3D model. The additional image data is clustered according to the estimated line-of-sight.

The invention crowdsources and coordinates the operation of residential, commercial or industrial warehouses as well as vehicles for the purpose of transporting parcels. The invention also coordinates these crowdsourced facilities with non-crowdsourced warehouses and vehicles. The invention also includes an Internet marketplace that may operate as an auction, for exchanging payments for transportation and storage services rendered. Participants use communication devices to enter their daily and hourly availability into a database operated by a Cloud-hosted app. This app assigns drivers and warehouses, proposes routes, estimates pick-up and drop-off times, tracks vehicles, issue a transaction notice before an impending pick-up or drop-off, verifies the validity of each transaction and updates the custody data assigned to each parcel after an exchange. Participants utilize communication devices that allows them to send GPS data to the Cloud app, verify each others' identity, identify exchanged parcels and communicate transaction data with the Cloud app.

A crowdsourcing competition system is described herein that provides a reusable mechanism by which an organization can host a cloud-based crowdsourcing competition. The system facilitates identification of individuals, forums, submission of user-generated content (challenge submissions), automated scoring of user-generated content against test sets, automated outbound communication to participants, and web services for leaderboard functionality. The system provides workflows for users to submit submissions and for the system to receive and organize submissions. Thus, the crowdsourcing competition system provides a generic platform and automated workflow for holding crowd-sourced competitions and automating workflow of user generated content submissions.

The invention relates to the technical field of internet and provides crowdsourcing task release and execution methods and devices. The release method includes the steps: allowing a background server to receive a crowdsourcing task input; transmitting the crowdsourcing task to a terminal device; receiving crowdsourcing task execution feedback information transmitted by the terminal device. The execution method includes the steps: allowing the terminal device to receive the crowdsourcing task transmitted; receiving a collecting command input, setting collecting mark information for the crowdsourcing task collected, and transmitting the collecting mark information to the background server; reading an electronic identifier of a crowdsourcing task object included in the crowdsourcing task collected to acquire electronic identity information of the crowdsourcing task object; acquiring execution result information of the crowdsourcing task collected; sending crowdsourcing task execution feedback information to the background sever. The crowdsourcing task release and execution methods and devices have the advantages that execution results and processes of crowdsourcing tasks can be effectively monitored and social idle labor can be made full use to serve multiple industries.

Systems and methods are provided for navigating a vehicle using a crowdsourced sparse map. In one implementation, a method of autonomously navigating a vehicle along a road segment may include receiving a sparse map model, receiving at least one image representative of an environment of the vehicle, analyzing the sparse map model and the at least one image, and determining an autonomous navigational response for the vehicle based on the analysis of the sparse map model and the at least one image. The at least one image may be received from a camera, and the sparse map model may include at least one line representation of a road surface feature extending along the road segment, each line representation representing a path along the road segment substantially corresponding with the road surface feature.

The invention discloses a blockchain based crowdsourcing construction method for a smart contract. The method comprises steps as follows: 1, the smart contract containing tasks and rules is signed by a first party of the contract and released to a main chain of a blockchain; 2, a second party of the contract claims a plurality of contract subtasks according to the contract tasks released by the first party of the contract and adds the claimed information to a branched chain; 3, a system checks whether all the subtasks of the contract of the first party can be completed by the second party; 4, the first party and the second party perform shared signature and release the smart contract to the main chain of the blockchain, and the contract is executed automatically. The construction process of the contract is monitored publicly and transparently, and the execution process of the contract is monitored automatically; therefore, risks in crowdsourcing contract construction and execution processes can be reduced.

The invention provides a crowdsourcing-based novel question answering system comprising a question answering module, an intelligent answering module, a question answering analysis module, a mediating mode decision module, a data source query module and an optimizing module. The question answering analysis module acquires key word groups according to acquired question answering data; the mediating mode decision module generates a mediating mode according to the key word groups and a preset attribute candidate set by mapping; the data source query module generates data source query statements according to the mediating mode and retrieves entity data from multiple data sources; the optimizing module packages crowdsourcing data into a crowdsourcing task and transmits the crowdsourcing task to the intelligent answering module; the optimizing module generates intelligent answering data according to the crowdsourcing feedback data fed back by the intelligent answering module. The crowdsourcing-based novel question answering system has the advantages that the technical problem that the automatic question answering system is limited to semantic analysis has high technical difficulty and high cost is solved, the technical problem that a community question answering system cannot be timely is solved, and questions posed by users are quickly and accurately answered.