20 results about "Customer reviews" patented technology

The invention relates to the field of work satisfaction evaluation, and discloses an express industry work satisfaction evaluation method based on a productivity model, and the method comprises the following steps: collecting the work data of a courier, including the workload, the work efficiency and the customer evaluation; collecting emotional data of the courier, wherein the emotional data comprises emotional fluctuations and emotional labels obtained through voice analysis and text analysis; constructing a productivity evaluation model based on the collected work data, and evaluating the work productivity of the courier; constructing an emotion calculation model based on the collected emotion data, and evaluating the emotional state of the courier; calculating the work satisfaction degree of the courier based on the results of the productivity evaluation and the emotional state evaluation; and based on a work satisfaction evaluation result, constructing an optimization algorithm to dynamically adjust the work task and the work time. Through a dynamic evaluation method based on a productivity model, in combination with a multi-dimensional working state score and a real-time feedback mechanism, the accuracy of work satisfaction evaluation is effectively improved.

Systems and methods for predicting and motivating customers to provide reviews are disclosed. In some embodiments, a disclosed method includes: receiving, from a computing device, a request for potential reviewers; selecting, based on the request, a plurality of customers who have purchased items but have not provided any review for the purchased items; computing, using at least one machine learning model, review probabilities based on feature data related to the plurality of customers and transactions involving the purchased items, wherein each review probability is a probability of a corresponding customer providing a review; generating, from the plurality of customers, a ranked list of customers based on the review probabilities and reviewer segmentation data; and transmitting to the computing device the ranked list of customers to be reminded for providing reviews.

The present invention belongs to the technical field of natural language processing, and particularly relates to a method for dynamically analyzing service quality integrating hypergraph knowledge. This method uses the service quality dimension point mutual information algorithm to map the review topics to the five dimensions of the SERVQUAL model; constructs the customer reviews into a hypergraph, and then inputs the hypergraph into a hypergraph attention network for processing to obtain the customer service quality perception value contained in the customer reviews; uses the Wilson interval method to calculate the expected score of the merchant, and then corrects the expected score of the merchant through the Bayesian average method; adds the expected score of the merchant and the average value of the customer historical scores and normalizes them as the customer service quality expectation value to obtain the satisfaction of the customer in the five different dimensions of the SERVQUAL model respectively. The present invention proposes a customer service quality evaluation scheme that does not rely on questionnaire surveys, provides a feedback mechanism for merchants, and further enhances the competitiveness and influence of merchants.

A computing system and method enables a business to manage negative and positive reviews of a purchased good or service. An example computing system may be configured to retrieve ratings and reviews relating to the business from a plurality of computing devices deployed within a communication network; extract data from the ratings and reviews; determine a parameter for the business based at least upon the data extracted from the ratings; process the data extracted from the reviews to identify inappropriate content; generate signals to obscure the inappropriate content in the reviews; generate a graphical user interface comprising a display of a listing of the ratings and reviews including the signals obscuring the inappropriate content in the reviews; detect cursor movements on the graphical user interface; and modify the display of the graphical user interface based at least on the cursor movements in relation to the inappropriate content.

The present invention provides a device, method, and storage medium capable of overlaying relevant product information in augmented reality via the use of near-field communication (NFC) and a product selection system. [Solution] The method includes: step 802 obtaining a personal profile associated with a user based on user authentication via a contactless card; step 804 receiving product information related to multiple products via RFID or NFC signals; step 806 determining whether there are in-store customer comments or reviews corresponding to the multiple products; step 808 filtering out comments or reviews unrelated to the user's personal profile; and step 810 displaying the comments or reviews in augmented reality (AR) such that information bubbles are placed nearby, associated with each of the multiple products.

The invention relates to a robotic end-of-arm tool health-gripper timing. A method and system for actively monitoring the health of a robotic end-of-arm tool based on timing of response to a grab command. When the robotic tool successfully grabs or releases the workpiece, a part presence signal or other sensor provides a signal. And the robot controller records the time between each grabbing or releasing command and the completion command. Timing data of all robots in the facility is collected by a data collection device and forwarded to an analysis data center, wherein the timing data is analyzed for each arm end tool. When it is detected that the grasp time exceeds a threshold or the grasp time performance tends to deteriorate, an alarm is issued to inform the problem identified on the grabber and to provide all analysis data to a web portal for the customer to view and take action. Response timings of other types of end-of-arm tools other than grippers may also be similarly analyzed for active tool repair / replacement.

The system according to this embodiment aims to suggest alternative recipes that accommodate allergies and religious restrictions, and to accept customer reviews. [Solution] The system according to the embodiment comprises a reception unit, a suggestion unit, and a review unit. The reception unit receives input of the dish name and allergy ingredients. The suggestion unit proposes an alternative recipe based on the information received by the reception unit. The review unit receives customer reviews based on the alternative recipe proposed by the suggestion unit.

Embodiments of the present disclosure disclose a method and device for generating a multi-dimensional service evaluation word cloud chart based on customer perception. A specific embodiment of the method comprises: obtaining customer review texts from a service online review platform to obtain a set of customer review texts; performing text compensation on each customer review text in the set of customer review texts to generate a set of compensated review texts; performing text topic word extraction on each compensated review text in the set of compensated review texts to generate a set of multi-dimensional topic word groups of review texts; determining a preset customer topic perception model corresponding to each multi-dimensional topic word group of review texts in the set of multi-dimensional topic word groups of review texts as a current topic perception model; performing semantic recognition processing on each multi-dimensional topic word in the set of multi-dimensional topic word groups of review texts to generate a sequence of recognized topic word information; and constructing a multi-dimensional word cloud chart according to the sequence of recognized topic word information. The embodiment can reduce waste of computing resources.

The invention relates to a professional integration system, which comprises a server. And the database is installed in the server. The at least one expert terminal is in communication connection with the server and is used for an expert to operate on a first digital device; the expert terminal comprises an expert data uploading module, a professional certificate uploading module, a professional service management module, a customer comment module and a potential customer push module. The at least one client terminal is in communication connection with the server and is used for a client to operate on a second digital device; the client terminal comprises a client data uploading module, an expert query module, a transaction management module, a pair of expert comment modules and a potential expert push module. And the manpower matching terminal comprises a joining management module, a professional degree verification module, a matching module, a matching degree analysis module, a profit sharing module, an evaluation feedback module, an advertisement module and a potential matching module. According to the invention, the matching success rate and the matching experience between the expert and the user can be effectively improved.

The invention relates to the technical field of data processing, in particular to a regional service quality analysis method, device and equipment and a storage medium, and the method comprises the steps: obtaining and preprocessing historical information of a service region, including historical region personnel and business information; calculating region density based on the preprocessed region information and generating a thermodynamic diagram; analyzing the emotional polarity of historical customer evaluation, and predicting the complaint rate in combination with an emotional polarity score and regional density information; predicting the business volume and the loss rate by using a business volume prediction model and a loss probability prediction model in combination with the pre-processing region information; inputting the predicted complaint rate, business volume and wastage rate into a scheme generation model to obtain a personnel allocation optimization scheme; according to the method disclosed by the invention, the complaint rate, the business volume and the loss rate are predicted and input into the scheme generation model, so that the optimal personnel allocation scheme can be obtained, unnecessary resource waste is reduced, the operation cost is reduced, meanwhile, the service quality is improved, and the customer satisfaction and loyalty are enhanced.

1. Name of the product in this design: Graphical User Interface for Data Display of Electronic Devices. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Purpose of the Graphical User Interface: This graphical user interface is used to display data; the left side of the interface displays bar charts showing revenue, customer visits, and redemption data for each city nationwide over the past 12 months; the middle of the interface displays the total national data for the day, a map showing the distribution of stores nationwide, and real-time customer reviews; the right side of the interface displays the top employees of the month and the service and efficiency rankings for stores in each city for the month; all data will be updated according to the situation each month; the gray blocks in the interface are replaceable images or videos, and "XXXX" in the interface is character or text content.

System and techniques may be used for sentiment analysis of restaurant reviews. An example technique may include collecting data from a plurality of sources, the collected data including customer reviews corresponding to a restaurant, and categorizing each of the customer reviews in the collected data as positive, neutral, or negative related to an aspect of the restaurant. The example technique may include outputting an alert to a device of a stakeholder of the restaurant in response to determining that a customer review of the customer reviews has been categorized as negative.

Systems and methods for providing recommendations to users while maintaining privacy and information security for those users. In particular, user demographic information and / or geographic / environmental information can be represented as hashes, or fingerprints, which in turn can define a dimension of a recommendation matrix having another dimension defined by attributes of products, services, routines, and so on that may be associated with recommendations to the user. The values of the recommendation matrix can correspond to normalized customer review data and / or other data.

The invention provides a customer evaluation-oriented deep semantic understanding and intelligent reply generation method and system, and the method comprises the steps: receiving customer evaluation text data; based on a preset first text processing module, preprocessing the client evaluation text data to obtain a preprocessed evaluation text; inputting the preprocessed evaluation text into a pre-trained large model, and extracting a multi-dimensional feature vector of the evaluation text; on the basis of the multi-dimensional feature vector, an emotion analysis algorithm is adopted to determine emotion tendency and key appeal points of the evaluation text; selecting a corresponding reply template from a preset reply template library according to the emotional tendency and the key appeal point; calling a large model to generate personalized intelligent reply content according to the characteristics of the evaluation text and the reply template; and outputting the personalized intelligent reply content to a reply interface. By combining a large model technology and a traditional text analysis method, deep understanding of customer evaluation and personalized reply generation are realized, customer evaluation processing efficiency and reply quality are improved, and enterprise customer service cost is reduced.

A computing system and method enables a business to manage negative and positive reviews of a purchased good or service. An example computing system may be configured to retrieve ratings and reviews relating to the business from a plurality of computing devices deployed within a communication network; extract data from the ratings and reviews; determine a parameter for the business based at least upon the data extracted from the ratings; process the data extracted from the reviews to identify inappropriate content; generate signals to obscure the inappropriate content in the reviews; generate a graphical user interface comprising a display of a listing of the ratings and reviews including the signals obscuring the inappropriate content in the reviews; detect cursor movements on the graphical user interface; and modify the display of the graphical user interface based at least on the cursor movements in relation to the inappropriate content.

The invention belongs to the technical field of comment text analysis, and particularly relates to a customer comment analysis method and system supporting word frequency statistics. According to the method, each comment is associated with the shop exploration task and the check item identifier, so that the comment data directly corresponds to the business index, an enterprise can conveniently and quickly track a problem source, the management efficiency is improved, and semantic-related comment contents are grouped by utilizing word segmentation processing, lexical element feature vectors and semantic clustering; refined semantic analysis of the comment text is realized, semantic confusion possibly brought by simple word frequency statistics is effectively avoided, a low-score check item problem is highlighted in word frequency statistics through performance weighted word frequency calculation, an enterprise can preferentially pay attention to a key business problem, business guidance of an analysis result is enhanced, and the business efficiency is improved. And a user portrait attribute distribution variance self-adaptive down-regulation mechanism is adopted, so that abnormal word frequency caused by deviation of a specific store or a user group is effectively inhibited, and an analysis result is more stable and reliable.

Provided are a system, method, and device for automated customer review moderation. The system includes a review submission module configured to generate or receive review requests from customers after each completed order or invoice payment, an artificial intelligence (AI) based analysis module configured to process content of review submissions received in response to the review requests and identify keywords, phrases, or patterns related to predefined moderation categories, a moderation rules engine including a set of predefined rules for evaluating the content based on the predefined rules and the predefined moderation categories, and an approval / decline module configured to determine that a review is to be approved or declined based on the predefined rules and the predefined moderation categories.

A computer-implemented method of generating an AI-based suggested online customer review that includes electronically communicating a sentiment request from the server to a first of the plurality of the electronic devices over a network and in a connectivity session and causing an interface to load thereon displaying an interactive display configured to receive a digital sentiment input therefrom, inserting the digital sentiment input into the interactive display and communicating the digital sentiment input to the server, processing the digital sentiment input and electronically communicating, subject to ascertaining a programmed sentiment threshold, a programmed digital chatbot to the first of the plurality of the electronic devices in the connectivity session, querying the user with the chatbot to receive business review input through therethrough and then generating a textual suggested online customer review with artificial intelligence (AI) utilizing the business review input for integrating into a publicly available online platform.

Systems and methods for natural language processing policies are disclosed. For example, content such as a response to a user command and / or user input such as a customer review, may be analyzed to determine if the content deviates from one or more content policies and to determine a severity of the content-policy deviation(s). A system may determine a number of content-policy deviations associated with the content and whether the content includes an indicator of a person, such as a pronoun and / or a proper noun. Content that includes multiple content-policy deviations and / or that includes an indicator of a person may be determined to be more severe than other deviated content. Applications associated with deviated content may be ranked and corrective action may be taken based on the ranking.

This invention concerns an Artificial Intelligence-based business intelligence method and system for performing multi-branch sentiment analysis and automated competitive mapping based on digital customer review data. This invention consists of a customer data collection module, data preprocessing, Artificial Intelligence-based sentiment classification, business branch clustering, interactive data visualization, competitive mapping, and automated strategic insight generation. The system works by processing customer data from various digital sources to produce customer sentiment analysis, branch versus cluster analysis, heatmaps, sentiment gap analysis, and automated strategic recommendations. This invention provides advantages in conducting automatic, fast, integrated, and efficient customer analysis compared to conventional manual analysis methods, thereby supporting data-based business decision-making more effectively and accurately.