35 results about "User experience evaluation" patented technology

The invention discloses a method for commodity comparison in a code scanning mode, and belongs to the technical field of electronic commerce. The method for commodity comparison in the code scanning mode comprises the following steps that (1) a commodity information database is built, and bar codes or two-dimensional codes corresponding to commodities in a one-to-one mode are typed in the database; (2) a user uses a smart mobile terminal device for scanning the bar codes or two-dimensional codes of one or more commodities, the multiple target commodities are compared by calling commodity information in the commodity information database, and then the commodities are purchased by choice; (3) after purchasing the commodities by choice, the user conducts user experience feeling evaluation on the commodities, and user experience feeling evaluation information is typed in the commodity information database. According to the method for commodity comparison in the code scanning mode, the user can rapidly complete commodity information comparison, users who pay attention to the same commodities can build a social circle for information exchange, and prizes are provided for encouraging the users to submit the user experience evaluation information.

The invention provides a self-service intelligent sharing lodge comprises a client and a house. The client can provide a user with the geographical coordinates and the use states of all available lodges, an reservation function, and user experience evaluation. The house includes a network system, a smart home system, a smart lock system, and a location identification system. The lodge can providethe user with a space for study, relaxation and small meetings, can be placed in a variety of open spaces, rationally uses unoccupied public spaces, can provide the user with an independent, quiet, and warm space, and can be conveniently found and used by the user. The self-service intelligent sharing lodge uses a self-service and intelligent unlocking mode, can realize unmanned management and collective sharing.

The invention discloses a method for quantizing market information refreshing rates of different securities trader APPs and provides a mathematical model for quantizing market information refreshing rates of the securities trader APPs by aiming at user experience evaluation of existing mobile phone securities trader APPs only available for comparison of interactive experience and function ranges at present. The model realizes transaction volume or transaction amount based modeling for quantizing market information refreshing rates, data modeling and quantizing of a great quantity of real-timediscrete market information data generated by the different securities trader APPs can be realized, and accordingly comparison of the refreshing rates of the different securities trader APPs is realized.

The embodiment of the invention provides a user experience evaluation method and device, electronic equipment and a storage medium. The above method comprises the following steps that: obtaining eachfeature word of a preset target product; aiming at each target user, displaying each feature word in sequence according to a preset display rule, and recording the reaction data of the target user; and according to the reaction data, on the basis of a preset feature word screening condition, determining and outputting a target feature word. When the embodiment of the invention is applied, when user experience evaluation is carried out, on the basis of the preset feature word screening condition, the target feature word is determined, an obtained result is not influenced by the ability of an investigator, the problem of weak reliability of an investigation result since a questionnaire is used can be avoided, and the accuracy of a user experience evaluation result can be improved.

The invention discloses a multimodal transport logistics cloud data platform system. The system comprises a cloud data platform, and the input end of the cloud data platform is connected with the output ends of a port EDI electronic port container station yard, an existing multimodal transport data module, a basic geographic data module, an existing land traffic system, a vehicle and ship operatormodule and an ETC electronic lockage system. Business supply and demand information integration and customer management functions are realized through the platform system. buyers and sellers are formed; a consignor and a carrier, the invention discloses a bridge between logistics service providers and demanders. relevant information is subjected to specialized classification and summarization through the cloud data platform; according to the invention, functions of rapid and accurate supply and demand information issuing and query, transportation link monitoring and scheduling, financial settlement, user experience evaluation and the like are provided for related parties in various multimodal transport links, the social consumption of manpower and material resources when the related parties seek partners is reduced, and the problems proposed in the background technology are solved.

The invention discloses a swing angle milling head assembly sequence planning demonstration system and method, and the system carries out the planning of a swing angle milling head part assembly sequence, finally displays the swing angle milling head part assembly sequence through a virtual environment, and comprises three modules: a part information module, an assembly sequence planning module, and a virtual simulation and experience module. The process from input of the three-dimensional model information of the swing angle milling head assembly to VR experience virtual simulation assembly of the user is realized. A three-dimensional model and assembly information of a part are obtained through the part information module, the part assembly information is converted into an assembly information matrix which can be recognized by a programming language through the assembly sequence planning module, assembly sequence planning is carried out through a particle swarm genetic hybrid algorithm, and an optimal assembly sequence is obtained; and the optimal assembly sequence and a part three-dimensional information model obtained by the part information module are subjected to simulation verification through the virtual simulation module and finally displayed on a VR interface for user experience evaluation.

The invention provides a cable television network broad band user experience evaluation system which is low in cost, and capable of acquiring accurate evaluation results and timely reflecting cable network user experience quality. The cable television network broad band user experience evaluation system comprises a traffic control platform quality monitoring module, a QOE index production module, a QOE grouping module, a performance generating module, an interface presentation module and an email sending module, wherein the QOE index production module is connected with the traffic control platform quality monitoring module, the QOE grouping module is connected with the QOE index production module, the performance generating module is connected with the QOE grouping module, the interface presentation module is connected with the QOE grouping module, and the email sending module is connected with the QOE grouping module. The cable television network broad band user experience evaluation system can conduct statistics on each kind of technical parameters according to data service characteristics and judge the healthily connected number and work out the performance of maintenance personnel according to different threshold values. Being utilized to position fault users, the cable television network broad band user experience evaluation system has the advantages of being high in cost performance and fast to use.

The invention relates to a user experience evaluation system based on hotel ratings, which includes a cloud platform, a user experience rating module, a query module, a hotel rating database and a client; Connected to the cloud platform; the user experience scoring module is located on the cloud platform, the user experience scoring module is connected to the information query client, the query module is located on the cloud platform, and the query module is connected to the information query client. The itinerary is optimized, and query and check-in scoring services are provided to further improve the supervision of hotels and the quality of people's travel.

The embodiment of the invention provides a data information analysis method and device in a network, electronic equipment and a computer readable storage medium, and relates to the field of network data analysis. The method comprises the steps: receiving an analysis service request which is sent by a first network element in a core network and carries out user experience evaluation analysis on data information in the network, wherein the analysis service request at least comprises requester information and analysis object type information, and the first network element is other network elements except an NWDAF network element; outputting an analysis result corresponding to the analysis object type information based on the analysis service request. According to the method disclosed in the embodiment of the invention, the NWDAF network element receives the analysis service request which is sent by other network elements in the core network and contains the analysis object type information, and outputs the analysis result corresponding to the analysis object type information based on the analysis service request, so that different analysis results are provided, and thus the precisionof the analysis service is improved.

The invention provides an autism hugger experience evaluating method based on a Kalman filtering neural network, and a system. The method comprises the steps of through developing a mobile phone APP,acquiring process videos of a user in using different types (different parameters such as roller color, roller material, roller width, roller diameter, frame length, frame width and frame height) of huggers (in manners of field photographing through the mobile phone APP or reading a video file) and transmitting to cloud; decomposing the video to continuous series of pictures at cloud; applying face identification technology, identifying a face expression type which corresponds with the series of pictures, acquiring a code vector in which the expression changes along with time, and on a cloud platform, establishing a complicated nonlinear relation model between user experience data and a corresponding user experience process score through a KNNF neural network; and performing video recording for automatically acquiring the user experience valuation result of the user experience process, and using the user experience evaluation result as a basis for updating and optimizing an autism hugger product by an enterprise.

The invention provides a user experience evaluation method and system based on expression recognition, and the method comprises the steps: obtaining a process video of a user using a new research anddevelopment APP through development of a mobile phone App, and transmitting the process video to a cloud end (the video file can be shot or read through the mobile phone App on site); decomposing thevideo into a series of continuous photos at a cloud end; applying face recognition technology to recognize the face expression types corresponding to the series of photos, acquiring code vectors withexpressions changing along with time and establishing a complex nonlinear relation model of user experience data and corresponding user experience process scores through a BP neural network on a cloud platform; automatically acquiring a user experience evaluation result of the user experience process by inputting a video to serve as a basis for upgrading and optimizing an APP product by an enterprise.

The invention provides a user experience evaluation method and system based on an ELMAN neural network, and the method comprises the steps: obtaining a process video of a user using a newly developedAPP through development of a mobile phone App, and transmitting the process video to a cloud end (the video file can be shot or read through the mobile phone App on site); decomposing the video into aseries of continuous photos at a cloud end; a face recognition technology is applied to recognize the face expression types corresponding to the series of photos, code vectors with expressions changing along with time are obtained, and on a cloud platform, a complex nonlinear relation model of user experience data and corresponding user experience process scores is established through an ELMAN neural network; a user experience evaluation result of the user experience process can be automatically obtained by inputting a video to serve as a basis for upgrading and optimizing an APP product by an enterprise.

The invention discloses a user experience evaluation method for vehicle power acceleration performance. The method comprises the steps: determining a power acceleration response time index tk and a power acceleration sound following time index tdk of a vehicle under the working condition of a test vehicle speed Vk; calculating a time difference delta t by using a formula shown in the description; judging whether the user experience of the power acceleration performance of the vehicle under the working condition of the test vehicle speed Vk is good or poor according to the delta t and the tdk; changing the test vehicle speed Vk, and repeatedly executing the previous steps until all the m test vehicle speeds are tested; if the user experience of the power acceleration performance of the vehicle under the m test vehicle speed working conditions is good, determining that the user experience of the power acceleration performance of the vehicle is good, and otherwise, the judging that user experience of the power acceleration performance of the vehicle is poor. The method can evaluate whether the user experience of the power acceleration performance of the vehicle is good or bad, and provides reference for improving the user experience of the vehicle.

The invention discloses an experience index calculation method and device for a physical place, and relates to the technical field of automatic programming. A specific embodiment of the method comprises the following steps: in a preset statistical period, acquiring the stay duration of a user in each area and the number of times that the user enters each area by using camera tracking equipment, and determining a spatial dimension index and a service dimension index of a physical place by using the stay duration and the number of times; in the statistical period, using the camera tracking device to determine emotion data when each user enters and leaves the physical place, and acquiring an emotion dimension index of the physical place according to the emotion data; and calculating an experience index of the physical place in combination with the spatial dimension index, the business dimension index and the emotion dimension index. According to the embodiment, the quantitative index of the user experience evaluation can be formed by taking the objective behavior data of the user as the support under the condition that the user is non-inductive.

The invention discloses a method used for evaluating user experience of a recruitment website. The method comprises steps that S1, a user experience questionnaire for the recruitment website is made;S2, typical users are recruited, user experience scores are obtained through completing the questionnaire in the S1 for the to-be-evaluated website; and S3, the user experience scores obtained in theS2 are compared with the norm, the position level of the to-be-evaluated website in the whole industry is acquired, and whether improvement is needed is determined. The method is advantaged in that the blank of the user experience evaluation method of the recruitment website can be filled, the user experience scores of the recruitment website can be known through completing the user evaluation questionnaire, the method is simple to operate, and scientific calculation is realized.

The invention provides an APP advertisement user experience evaluation index weight evaluation method and related equipment. The method comprises the steps: determining a user experience index of an APP advertisement business, and forming a user experience index set; subjectively weighting each user experience index in the user experience index set through an order relation analysis method to obtain a subjective weight of each user experience index in the user experience index set; performing objective weighting on each user experience index in the user experience index set through an entropy evaluation method to obtain an objective weight of each user experience index in the user experience index set; and according to the subjective weight and the objective weight of each user experience index in the user experience index set, determining a final weight by constructing a combined weighting method. The beneficial effects of the invention are that the method irons out the defect that a conventional method only achieves the subjective weight distribution of an operator, and eliminates the subjectivity and cognition deviation.

The invention discloses a prototype software user experience evaluation method, which comprises the following steps of: S1, performing quantification processing on objective user experience data to obtain an objective data quantification value; s2, setting a plurality of evaluation indexes of the prototype software; s3, subjectively scoring the plurality of evaluation indexes to obtain a plurality of subjective score values; s4, respectively calculating correlation between the subjective score values and the objective data quantized values to obtain a plurality of correlation coefficients; s5, respectively determining correlation degrees of the plurality of correlation coefficients to obtain a plurality of correlation degrees; s6, calculating the score of each evaluation index according to the plurality of correlation degrees; s7, taking the sum of the products of each evaluation index score and the corresponding weight coefficient as a total evaluation score; and S8, evaluating the level of the prototype software according to the total evaluation score. The subjective validity can be verified by using objective data, so that the evaluation result is more credible and accurate.

The invention provides a user experience evaluation method and system in an unconscious and free state, and the method comprises the steps: developing a mobile phone App, obtaining a process video ofa user using a newly developed APP, and transmitting the process video to a cloud end (the video file can be shot or read on site through the mobile phone App); Decomposing the video into a series ofcontinuous photos at a cloud end; A face recognition technology is applied to recognize the face expression types corresponding to the series of photos, code vectors with expressions changing along with time are obtained, and a complex nonlinear relation model of user experience data and corresponding user experience process scores is established on a cloud platform through a GRNN neural network;A user experience evaluation result of the user experience process can be automatically obtained by inputting a video to serve as a basis for upgrading and optimizing an APP product by an enterprise.

The invention discloses a user experience model training method and a short video user experience evaluation method and device. The user experience model training method comprises the steps of obtaining short video data of short video tasks historically watched by accounts; for each account, dividing a short video task historically watched by the account into one or more video processing units, wherein each video processing unit comprises a plurality of short video tasks continuously watched; acquiring video feature data of each video processing unit according to the short video data; and training a user experience model according to the video feature data of each video processing unit. The features aggregated on the dimension of the video processing unit can reduce the influence of mutual independence between short video tasks and better describe the behavior change of the user in a long time range, so that the QoE fitting level is improved, and the effectiveness of the model is improved.