39 results about "User confidence" patented technology

Reputations of objects are determined by a reputation system using reports from clients identifying the objects. Confidence metrics for the clients are generated using information determined from the reports. Confidence metrics indicate the amounts of confidence in the veracity of the reports. Reputation scores of objects are calculated using the reports from the clients and the confidence metrics for the clients. Confidence metrics and reputation scores are stored in correlation with identifiers for the objects. An object's reputation score is provided to a client in response to a request.

A system that listens to the data traffic running over the Service Provider Premises between the plurality of surfers and the Internet. The system can identify downloading of a content object. The data transportation of each user can be parsed for identifying a connection that is involved in downloading a content object from a content server. When a downloading of a content object is identified, the download process is monitored and resuming information is stored. In case that the download process is incompletely terminated the stored resuming information can be used to accelerate the response to a request to renewal the download process of the same object.

The invention discloses a hybrid collaborative filtering recommendation algorithm based on project attributes. The algorithm comprises the following steps: step 1, generating a user-project scoring matrix and a project-attribute matrix according to user scoring information and project information; step 2, respectively calculating project similarity and user scoring similarity according to the project-attribute matrix and the user-project scoring matrix; step 3, correcting the user score similarity by utilizing the project similarity to calculate the user similarity; step 4, calculating a common score reward factor, a project attribute preference factor and a user confidence coefficient factor to correct user similarity and obtain user final similarity; step 5, selecting the nearest neighbor of the target user according to the final similarity, and predicting the score of the target user on each project based on the score information of all the users in the nearest neighbor; And step 6,recommending the N projects with the highest scores to the target user. The method can be applied to sparse data, and recommendation accuracy can be improved.

The invention discloses a method for detecting users who score maliciously in an online social media system. The method for detecting users who score maliciously in the online social media system arms at scoring feedback. Firstly, clustering is conducted according to scores for products by users, and the normalized user confidence degree is calculated; secondly, the reliability degree of user scoring is calculated according to the user confidence degree to obtain a candidate list of the users who score maliciously; finally, candidate users who score maliciously are sorted in combination with the deviation degree of user scoring and product quality to obtain the final list of the users who score maliciously. The method has advantages in the aspects of calculation accuracy and efficiency and can be applied to large-scale online social media websites.

An information processing apparatus includes information input units, an event detecting unit, and an information-integration processing unit. Observed values including user identification data are obtained based on image and sound information from the information input units such as a camera and a microphone. Target data set with plural user confidence factors is updated and user identification is then performed. The user identification information in the observed values is used for updating the simultaneous occurrence probability of candidate data by which targets are corresponded with respective users. The updated value of such probability is used for calculating the user confidence factors corresponding to the targets.

Systems and methods for increasing user confidence in results that are produced by one or more programs that are generated by an underlying Programming-By-Example (PBE) system based on user input examples. A plurality of generated programs that have been generated using one or more user input examples that are indicative of an output that should be achieved to comply with a user determined result are received. The generated programs are narrowed based on one or more sub-expressions of the programs that are likely to cause the resultant program to comply with the user determined result. The one or more sub-expressions are exposed. Input that selects at least one of the one or more exposed sub-expressions to thereby identify the one of the generated programs that will result in the user determined result is received.

The invention discloses a data mining method and device, and relates to the technical field of Internet data mining. The method of the present invention includes: according to the purchase data of the commodity, selecting a seed commodity whose confidence level meets the first preset value, and adding it to the commodity collection; according to the confidence level of the user who purchased the seed commodity, selecting the user whose confidence level satisfies the first preset value Two preset seed users; expand the product collection based on other products purchased by the seed user; determine the average purchase cycle of each seed product in the product collection. The present invention selects seed commodities through the confidence of commodities, and expands the product collection through other commodities purchased by users who have purchased seed commodities, and combines the reference conditions of the two dimensions of commodity confidence and user confidence and collaborative processing, and finally Select commodities from massive commodity data and determine their purchase cycle.

The invention discloses a mobile phone short message monitoring device. The mobile phone short message monitoring device is characterized in that the short message monitoring device is connected with a short message service center through a tandem gateway, the internal connection relationship of the mobile phone short message monitoring device is that the monitoring device is connected with a call information number, frequency sending success rate counting module, a short message consistency judgment module, a user confidence grade module, a comprehensive assessment short message category module, a black list-white list management module and a home location register module; a telephone bill acquiring module is connected with a Bayes short message learning module, a keyword dictionary module, a spell fussy keyword matching module and the comprehensive assessment short message category module; a mobile phone short message monitoring device hardware platform is an IBMX39508872-7RC multi-core environment. Through the adoption of the device disclosed by the invention, an interference message in the spam short message can be effectively eliminated, the interception rate of the spam short message and the judgment right rate are improved, the influence of the mobile phone short message monitoring device to the processing ability of the short message service center is reduced.

The invention discloses an event trigger implicit identity verification method based on mobile equipment. The event trigger implicit identity verification method comprises steps that a type of an implicit trigger event of equipment and a characteristic value of every trigger event are set; when the trigger event occurs, the equipment is used to acquire user confidence by comparing a habit of a current user with a habit of a valid user, and is used to acquire a current decision threshold after calculation by using historical user confidence and a historical decision threshold, and then is used to decide the validity of the current user by comparing the current user confidence with the decision threshold. Problems of a conventional implicit identity verification method such as low efficiency in identifying invalid users and requirement on a lot of user data and learning time are solved.

The disclosed technology teaches a method for evaluating user compliance with an organization's security policies, formulating a user confidence or risk score, comprising scoring for each user a sum of alert weights, categorized by severity, and generated over time. Each contribution to an alert weight is generated due to an activity by the user that the organization's security policies treat as risky. Alert weights, over time, are subject to a decay factor that attenuates the alert weights as time passes. Also disclosed is reporting the user confidence score, comprising causing display of a time series of the user confidence or risk scores over a predetermined time and/or a current user confidence or risk score and/or at least some details of the activity by the user that contributed to the alert weights over time.

The invention relates to a social media rumor detection method based on multi-task learning, and the method specifically comprises the following steps: S1, carrying out the data extraction and format conversion of a corpus, and obtaining the source, reply and propagation path of a post; s2, extracting features of a line style; s3, extracting features of user confidence; s4, performing text preprocessing on text parts in the source post and the reply post to input subsequent tasks; s5, performing vector splicing on the features extracted in the S2 and the S3 and the text representation in the S4; s6, putting the spliced vector into a shared BERT layer; s7, respectively constructing neural network structures; and S8, inputting the data processed in the S5 into a neural network structure, and outputting standing classification and rumor classification. According to the method, a multi-task joint model can be used for being combined with two highly-related tasks, rumor detection and site classification tasks are improved, and rumor detection performance is improved.

The invention relates to a height adjustment stand for thin video display device. Wherein, arranging bearing part between fixed guide and slide guide to generate rolling friction, forming spring guide plate on top of fixed guide to separate spiral body and prolongation both of clockwork spring; both the slide guide and clockwork spring have very soft force. This invention improves work performance of display device, and enhances user confidence to the product.

The invention discloses a user confidence coefficient and time context-based collaborative filtering recommendation method, and relates to calculation of similarities between users in the collaborative filtering recommendation method. Aiming at the deficiency problem of traditional similarity measurement methods and dynamic change conditions of user interests under the condition that user score data is extremely sparse, the method discloses the user confidence coefficient and time context-based collaborative filtering recommendation method. The method comprises the following steps of: constructing a scoring matrix between users and projects; calculating similarities between the users through the user confidence coefficient and time context-based collaborative filtering recommendation method; selecting an optimum adjacent user set according to a sorting result of the similarities between the users, or setting a similarity threshold and selecting the users exceeding the threshold value as neighbors of a target user; and after obtaining nearest neighbor set of the target user, taking the similarities as weights to obtain prediction, for unscored projects, of the target user, so as toform a Top-N list and recommending the Top-N list to the users.

The invention discloses a social network topology model, and the model is a three-layer two-order star-shaped structure constructed by taking each target user as a center and comprises a first-layer node, second-layer nodes and third-layer nodes; the first-layer node is a target user, the second-layer nodes are a direct called user, and the third-layer node is obtained by modularization of neighbor nodes generated by each second-layer node; the node value of the social network topology model is the user confidence, and the edge weight of the social network topology model is the intimacy between users. The invention further discloses a construction method of the social network topology model, a user confidence coefficient and intimacy calculation method and a telecommunication fraud intelligent interception system. The social network topology model does not infinitely increase the data volume over time. According to the telecommunication fraud intelligent interception system, based on user historical data, the infinite increase of the system data size along with time can be avoided, and original and newly-added fraud users can be accurately identified.

The invention relates to an automatic mobile phone communication fee payment machine based on a three-dimensional face recognition system. The automatic mobile phone communication fee payment machine comprises an automatic mobile phone communication fee payment machine body, wherein a recognition control key, a three-dimensional face recognition device and a fingerprint recognition device are additionally arranged on the automatic mobile phone communication fee payment machine body, the three-dimensional face recognition device and the fingerprint recognition device are located inside the automatic mobile phone communication fee payment machine body, a detection probe of the three-dimensional face recognition device is embedded into the upper surface of the automatic mobile phone communication fee payment machine body, a transparent protection window is arranged at the front end of the detection probe, a detection probe of the fingerprint recognition device is embedded into the upper surface of the automatic mobile phone communication fee payment machine body, and the recognition control key is embedded into the upper surface of the automatic mobile phone communication fee payment machine body. The automatic mobile phone communication fee payment machine is simple in structure, convenient to use and capable of effectively overcoming the defect that frequent input through a keyboard or a touch screen and the like is needed during fee payment. On the one hand, operating steps are simplified, fee payment efficiency is improved, and on the other side, the user confidence confidentiality safety of a fee payment system is also improved greatly.

An embodiment takes the form of a method carried out by a computing system comprising a processor and instructions for carrying out the method. The method includes (i) presenting via a user interface a plurality of data-input fields having an associated default order for user entry of respective values in the respective data-input fields, (ii) receiving respective values entered via the user interface in the respective data-input fields, (iii) storing a respective current counter value of an incrementing counter in association with receiving each respective entered value, (iv) establishing a respective user-confidence level for each of one or more of the respective entered values, wherein each established user-confidence level is set based at least in part on a comparison of the associated default order with a set of one or more of the stored counter values, and (v) outputting one or more of the established user-confidence levels.

The invention provides a method and system for no tampering based historical data to compensate exchange losses. The method includes extracting historical data in a blockchain; performing data excavation according to the data; forming a compensation proposal according to calculation results; voting on proposals that are in need; and implementing compensation and recording. The system includes a historical data extracting module, a data excavation module, a proposal module, a voting module and an implementing module. Blockchain data has the characteristic of no tampering; and subsidies can be performed on users who accord with conditions and the users can be empowered by tracing back to history based on the characteristic of the blockchain. There are no specific constraints on subsidized behavior objects, the time and intensity of the subsidies cannot be known in advance, and thus, moral risks can be avoided, user confidence can be built, buying in or selling out by following the trendcaused by anxiety can be avoided, currency stability can be realized in the long run, and therefore, the ecological balance and sustainable development of blockchain systems can be maintained.

The invention relates to the field of Internet of things, in particular to an innovative quality assurance and service synergy system applied to the production of plant-derived biological agents, including a quality circulation traceability system, a quality safety inspection system, a support dispatch center, a central integrated processor and an evaluation terminal, the quality flow traceabilitysystem is connected to a central integrate processor. The quality and safety inspection system is connected with the central integrated processor, the guarantee dispatching center is connected with the quality circulation traceability system, the quality and safety inspection system, the evaluation terminal is connected with the integrated processor, the information is interconnected, and the production is managed in a more precise and dynamic way. The main purpose of this system is to realize intelligent identification, tracking, monitoring, sharing and management, improve the production efficiency and reduce the production risk, taking the evaluation of the end-user as the core. Make the industrial chain more transparent, improve the service quality and user confidence; the invention standardizes the industrial production of plant-derived biological preparations and push forward the formation of systems and the process of large-scale industrialization.