42 results about "Visitor behavior" patented technology

Disclosed herein, among other things, is a system comprising a content repository, a communication portal developer, a content manager, and an analytic engine. The content repository is adapted to store electronic content in a computer-readable storage medium. The communication portal developer includes at least one wizard to create a plurality of customizable portals without coding software. Each customizable portal is accessible to one or more selected visitors through a web browser. The content manager is adapted to publish selectable electronic content to selectable portals. The content manager includes at least one wizard to populate and manage the electronic content within the content repository. The analytic engine analyzes electronic content use and visitor behavior while logged into their customizable portal. In various embodiments, the analytics are provided in real time or near real time. Other embodiments are disclosed herein.

The invention includes a method and system for optimizing web visitor conversion—the science of measuring, testing, and improving the rate at which website visitors respond to website content. The system helps website operators create content variations, and then scientifically test and measure the impact of those variations on conversion rates. The invention includes a method of using a reverse proxy server to introduce page variations on existing website content without needing to modify the existing target server. The invention makes it possible to test any number of variations—in any combination—on a target server's visitors. Website operators learn how content variations impact visitor behavior and conversion rates.

A method of analysis of the performance of defined visitor tasks at a host's web site. Tasks are defined a sequence of web pages with which the host wishes the visitor to view or interact. The method allows a given task to be provided, compares the desired task to current visitor behavior to determine frequency, manner and completion of the task and analyzes the task-related information for anomalies and trends in the completion, or lack thereof, of the desired tasks.

A system for inferring intent of visitors to a Website has a visitor-tracking application executing from a digital medium coupled to a server hosting the Website, the server connected to a repository adapted to store data about visitor behavior, and an inference engine for processing the data to infer the intent of visitors. Visitor behavior relative to links is tracked, and intent of a visitor is inferred from one or both, or a combination of analysis of the behavior and deducing meaning for anchor text of links selected.

The invention provides an intelligent door safety control system based on video service and an intelligent door safety control method based on video service. The intelligent door safety control system comprises a video image acquiring system, a voice system, a network transmitting system, a storage system, a door switch system, mobile terminal equipment, a power supply system and an integrated processor. According to the intelligent door safety control system, by virtue of the three main systems of the video image acquiring system, the voice system and the mobile terminal system and by means of the network transmitting system, multiple intelligent functions of an access control system are realized, and comprise visitor video image acquisition, visitor identification and classification, voice message, voice warning, automatic material receiving, automatic / manual door control switching, power supply detection switching, visitor behavior judging, pre-warning, multiple signal transfer outputs and the like. By virtue of front-end video monitoring, middle-end network transmitting and terminal mobile equipment, a house owner, a visitor and an intelligent door perform an interactive action, so that the service range and applicability of the intelligent door are enhanced. The safety and user use experience of the intelligent door are greatly improved.

A method and system for processing test data relevant to specific behavior of visitors of a network accessible site, such as a website, includes a number of components. A first component is configured to determine an initial estimate of visitor behavior on the basis of pre-testing information. Such information may be entered by a manager of the site. A second component is configured to generate updates of the estimate in response to monitored behavior. Bayesian estimation may be employed in this component. The third and fourth components cooperate to dynamically adjust a measure of the required test sample size of the visitors so as to maintain a target statistical confidence level. The third component utilizes systematic sampling, while the fourth component uses negative binomial sampling.

A ranking system ranks visitors to a Web site using one or more instances of machine-readable code executable from a digital medium accessible to a Web server. The code tracks visitor behavior while browsing the web site, and a visitor ranking module resident on the digital medium accepts information documented by the one or more instances of machine readable code and assigns rank values to one or more of the visitors. The ranking module ranks visitors at the Web-site based on logic and rules for interpreting visitor behavior and for applies a value to the visitor in real time based on that interpretation, and values applied at or above a preprogrammed level trigger solicitation of the visitor so ranked to engage in interaction including live assistance.

A method of analysis of the performance of defined visitor tasks at a host's web site. Tasks are defined a sequence of web pages with which the host wishes the visitor to view or interact. The method allows a given task to be provided, compares the desired task to current visitor behavior to determine frequency, manner and completion of the task and analyzes the task-related information for anomalies and trends in the completion, or lack thereof, of the desired tasks.

The present invention provides a language, method and system to formulate and evaluate relational Bayesian networks in an e-commerce environment. The present invention employs a specific language for constructing synthetic variables used to predict events in the Bayesian networks. The present system and language allow for efficient and accurate representation, inference, and discovery of the synthetic variables used to model web visitor behavior.

The invention discloses a data processing method and device for a heat map. The data processing method for the heat map includes the steps that a target geographic position is determined, geographic position coordinates of the target geographic position are acquired, the number of web page visitor behaviors happening at the target geographic position is counted, and the web page visiting heat map of the target geographic position is determined according to the geographic position coordinates of the target geographic position and the number of the web page visitor behaviors happening at the target geographic position. By means of the data processing method and device for the heat map, the geographically regional heat of the web page visitor behaviors can be reflected through the heat map.

The invention discloses a statistical method and device for visitor behavior data. The method comprises the following steps: acquiring visiting behavior data of a user visiting a page; establishing an anonymous ID (Identity) for a user according to the visiting behavior data; extracting a user ID from login behavior data of the user under the condition of logging in the page by the user; establishing an incidence relation between the anonymous ID and the user ID; and obtaining the visitor behavior data of the user according to the incidence relation. With the adoption of the statistical method and device for the visitor behavior data, the problem in the prior art that the visiting data of the user cannot be accurately analyzed by using the real ID is solved and the effect of accurately obtaining the visitor behavior data is realized.

An invention for customizing a web site by gathering information from a web site visitor's sessions while the user is using the web site. The visitor's session information is compared with expected visitor behavior, based on the present structure of the web site. Using pre-programmed basic comparison rules and computer based mathematical models, matrices are used to represent statistical information about the visitor's sessions on the web site. The statistical information is used to extract visitor behavior which was unexpected (anomalies). Anomalies are grouped into recommendations. These recommendations are used to automatically customize the web site. In the alternative, information is provided to the web site administrator to customize the web site to be more efficient and visitor friendly, maximizing the operation of the Web site and promoting more frequent visits.

The invention discloses a method and a device of collecting website data. The method comprises the steps that access information generated according to an access request of a visitor is obtained, and the access information comprises the IP address of the visitor, and / or the serial number of a network card, and / or identity information of the visitor, and time of the access; according to the access information and random numbers, an access identification of the access of the visitor is generated; all behavior information, on webpages, of the visitor, and the access identification are assembled into corresponding visitor behavior data, and the visitor behavior data are sent to a server respectively. According to the method and the device of collecting the website data, the collected behavior information of each time of access, on each webpage, of the visitor can be associated, and therefore refined analysis on behaviors of each time of access of the visitor can be achieved.

An NSET method and system for modeling the behavior of a visitor to an e-commerce location are disclosed. The method of one embodiment of this invention comprises the steps of: obtaining one or more visitor characteristic values; developing a model of the visitor's behavior according to a nonlinear state estimation technique (NSET); and estimating a set of visitor behavior characteristic to model the visitor's behavior using the developed model. The method further comprises predicting the visitor's future behavior at the e-commerce location based on the set of behavior characteristic values and known statistical behavior characteristic values. The method of this invention can further comprise measuring a set of actual behavior values for a visitor based on the visitor's actual behavior at an e-commerce location, and comparing the set of estimated behavior characteristic values and the set of actual behavior values with at least one similarity operator. The method of this invention can be implemented as a system of operational instructions that can be stored in a memory and executed by a processing module.

The invention discloses a live-broadcasting microphone connection method based on visitor behaviours. The method comprises the steps of: obtaining the microphone connection requests of visitors; inquiring registration information of the visitors in a database according to the identifiers of the visitors; if the registration information of the visitors is inquired, obtaining the interaction data ofthe live-broadcasting rooms of the visitors from the database according to the identifiers of the visitors; performing statistical analysis on the behaviours, the texts, the voice and the images of the visitors, so that a statistical analysis result is obtained; performing weighted calculation on the statistical analysis result, so that the platform friendliness of the visitors is obtained; and,sorting according to the platform friendliness of the visitors, and selecting a microphone connection visitor according to the sorting result. According to the live-broadcasting microphone connectionmethod and device based on the visitor behaviours disclosed by the invention, a visitor platform friendliness system is established; therefore, friendly information reference of a visitor user can beprovided for an anchor, even a platform; the anchor can screen out a reasonable visitor to perform microphone connection well; in addition, most of unfriendly visitor microphone connection requirements also can be intercepted; and indelicate or sensitive topics can be prevented.

A method for modeling the behavior of a visitor to an e-commerce location includes the steps of automatically obtaining one or more visitor characteristic values, and automatically developing a model of the visitor's behavior according to a nonlinear state estimation technique (NSET). The method also includes then automatically estimating a set of visitor behavior characteristic values with said model that model said visitor's behavior.

The invention discloses a precise internet advertisement putting system and a precise internet advertisement putting method. The system comprises a visitor behavior analysis module, an individuation creativity generation module, and an advertisement server. The invention further discloses the precise internet advertisement putting method which comprises a visitor behavior analysis method, an individuation creativity generation method, and an advertisement server play method. The system and the method can achieve the purposes that the generation of individuation creativity is free of manual work, free of offline storage, and then be controlled in a second level in a delayed mode, and most intimate information for each visitor can be really conveyed, and besides, a single product redirection creativity is put in an eligible flow quantity, and compared with a primary creativity, the click-through rate is raised by 2-3 times.

The invention provides a visitor behavior tracking analysis system and belongs to the field of big data services. The system comprises a data collection module used for collecting current visitor data, a sales module used for collecting current sales data and historical sales data, a storage module, and a statistical analysis module used for performing statistical and analysis processing accordingto the current visitor data, historical visitor data, store data, activity data, the current sales data and the historical sales data to obtain visitor behavior statistical analysis results associated to stores. The system has the beneficial effects that customer flow of multiple stores in a business circle are subjected to statistical analysis, and period changes of the customer flow and visitorbehaviors are mastered for guiding store operation (operation of putting commodities on shelves and taking the commodities off the shelves, and personnel arrangement) and marketing activity adjustment; and attributes of customers entering the stores are real-time and visible, and the customer viscosity and the re-purchase rate are clear at a glance, so that accurate services are facilitated and high-quality customers are deeply cultivated.

The invention discloses a website visitor behavior monitoring method, including the following steps: storing a configuration file in a monitoring server, wherein the configuration file includes a mapping relationship between attribute information of a page element and the corresponding function; after a monitoring code in a webpage monitors an operation event that the page element is operated, acquiring the attribute information of the operated page element, and then finding an objective function matched with the attribute information from the configuration file, and taking the operated page element as a parameter to execute the objective function to obtain visitor behavior data. According to the method, a corresponding relationship between the operation event of the page element and the function is stored in the monitoring server as the configuration file, when the monitoring code of the webpage runs, the configuration file is obtained from the monitoring server, so that the process of embedding page buried points in the webpage is not required, and the labor cost of deployment can be greatly reduced.

The invention discloses a method and a system for predicting visitor losing. The method comprises: determining a target feature and an input feature, wherein the input feature is visitor behavior data, and the target feature is a visitor losing probability; dividing a data set for the visitor behavior data according to a preset ratio, wherein the data set includes a test set and a training set; calculating the penalty parameter lambda in the lasso algorithm for the training set by using a cross-validation method; training a lasso-logit model b using the training set according to the penalty parameter lambda; evaluating the lasso-logit model by using the test set; and finally outputting a prediction according to the evaluation result, so as to input the visitor behavior data into the prediction model, and output the visitor losing probability obtained by prediction. The invention is capable of effectively improving the effect of predicting visitor losing.

The invention discloses an official website visitor loss analysis method based on passenger subdivision. The method comprises the following steps: obtaining original official website access log data;performing data cleaning on the original official website access log data; establishing a visitor value analysis model, and calculating a visitor value score by using a PCA algorithm; carrying out k-means Clustering analysis on the visitor behavior database, and achieving classification of visitor groups; And aiming at different types of visitor groups, respectively training a logit model to obtain a visitor loss analysis and ticket buying probability prediction model. Conducting data mining based on official website access log data, and conducting value analysis, grouping, loss analysis and ticket buying probability prediction on visitors, and providing a powerful basis for a marketing department to achieve precise marketing.

The invention discloses an intelligent household security and burglary protection system based on the Internet of Things. The system comprises a data collection unit, a data processing unit, an intelligent management unit, an intelligent remote terminal and an automatic alarm unit; the data collection unit comprises a fingerprint collection module, a monitoring camera and a footprint acquisition module, the data processing unit further processes information acquired by the data collection unit, and the intelligent management unit stores basic information and public security filing information,searches for the information processed by the data processing unit in a management center and analyzes the information processed by the data processing unit to judge whether or not the abnormal phenomenon occurs, and records visiting histories of visitors; systematical display of the information detected by the intelligent management unit and the data collection unit is conducted by the intelligent remote terminal, so that a home owner conveniently checks the information in real time. When the intelligent management unit senses abnormal data or abnormal visitor behaviors, the automatic alarmunit gives an alarm for the home owner, the property management unit and the public security system.

The invention discloses an agent-based scenic spot visitor behavior simulation modeling method, and belongs to the technical field of computer simulation. According to the agent-based scenic spot visitor behavior simulation modeling method, basic behaviors of scenic spot visitors are modeled, an established model can be effectively verified, the degree of fitting of a running result of the model with an actual condition is higher, and the behaviors of the scenic spot visitors can be effectively simulated.

The invention relates to the technical field of computer technologies, in particular to an advertisement pushing method and device, computer equipment and a storage medium, and the advertisement pushing method comprises the steps: S10, obtaining pushed advertisement data which comprises visiting crowd attribute data and pushed advertisement contents; S20, obtaining visitor behavior data from the visiting crowd data; S30, classifying the visitor behavior data according to preset accessed level data to obtain visitor interest level data; and S40, acquiring advertisement type data of the pushed advertisement content, and correspondingly associating the advertisement type data with the visitor interest level data according to the accessed level threshold. The advertisement pushing method and device have the advantages that the advertisement pushing effect can be obtained, and the correlation between advertisement pushing and visiting users can be improved.

The present invention provides a language, method and system to formulate and evaluate relational Bayesian networks in an e-commerce environment. The present invention employs a specific language for constructing synthetic variables used to predict events in the Bayesian networks. The present system and language allow for efficient and accurate representation, inference, and discovery of the synthetic variables used to model web visitor behavior.

A ranking system ranks visitors to a Web site using one or more instances of machine-readable code executable from a digital medium accessible to a Web server. The code tracks visitor behavior while browsing the web site, and a visitor ranking module resident on the digital medium accepts information documented by the one or more instances of machine readable code and assigns rank values to one or more of the visitors. The ranking module ranks visitors at the Web-site based on logic and rules for interpreting visitor behavior and for applies a value to the visitor in real time based on that interpretation, and values applied at or above a preprogrammed level trigger solicitation of the visitor so ranked to engage in interaction including live assistance.

The invention discloses a website visitor behavioral habit evaluation method and system, and the method comprises the following steps: enabling visitor information to be used for building a standard set which comprises a certain amount of visitor data in a website historical record; storing the standard set; constructing a calculation model of website visitor behavioral habits according to the standard set; respectively calculating similarity values between a new visitor and all visitors in the standard set through the calculation model; selecting a preset number of visitors with the highest similarity values with the new visitors from the standard set to form a sample set, and evaluating the behavioral habits of the new visitors according to the behavioral habits of the visitors in the sample set; and returning behavior habit data of the new visitor to the website owner. By means of the method, the accuracy of visitor behavioral habit evaluation can be effectively improved.

The present invention proposes a guard management system. The system comprises a leave-of-absence management module, a visitor management module, a door post article management module, a door post information releasing module, an internal personnel sign-in and sign-out module, and an emergency collaboration module. The leave-of-absence management module is used for leave-of-absence application and approval of internal personnel, management of leaving and returning of personnel on leave, and recording and query of leave-of-absence information. The visitor management module is used for second-generation identity card reading, document scanning and bar-code scanning; used for blacklist setting, interface prompting and acoustic warning; used for taking a photograph of a visitor and automatically storing the photograph; used for registering and querying information of a visitor; used for intelligent recognition of a visitor and internal personnel; used for communication between a visitor and a visited so as to confirm identity of the visitor; and used for giving a comprehensive evaluation on a visitor behavior, and setting a security alert level. The guard management system proposed by the present invention implements a digitized and informationized management mode for guard work.