39 results about "Social software" patented technology

The invention discloses a data analysis processing method and system based on multi-source data fusion, and relates to the technical field of data analysis fusion processing. Comprising the following steps: data acquisition and preprocessing: acquiring multi-source data, including user behavior data, content data and social data, related to APP pushing and cultural transmission from a plurality of data sources such as social software and an internet platform, after acquisition, preprocessing the multi-source data, generating preprocessed data, and establishing a dynamic credibility evaluation model; according to the method, the dynamic credibility evaluation model is established to distribute the weight for the data source, so that the interference of low-credibility data on the analysis result is avoided, and the information analysis of the user interest intensity, the content credibility and the cultural value based on the fused data is more accurate; therefore, a more reliable basis is provided for making an APP push strategy and a cultural transmission scheme.

The invention provides a home elder emotion accompanying platform based on LLM character character shaping. The home elder emotion accompanying platform comprises a character relationship management module, a social software terminal data acquisition module, an agent character portrait management module, a large language model module, an agent memory module, an agent operation module and a server side. The character relationship management module is used for user registration and virtual relative and friend character construction and management; the social software terminal data acquisition module is used for acquiring chat records of WeChat, uploading historical chat records to the server in batches and updating the chat records regularly; the intelligent agent figure portrait management module is used for calling a large language model to generate a figure portrait according to the figure chat data of the server side and updating the figure portrait regularly; the agent operation module is used for calling a large language model according to the figure portrait to form a dialogue response; and the agent memory module is used for recording chat records of dialogues between the elderly living at home and the agent operation module.

The invention relates to a text interaction method and device for assisting social software interaction, equipment and a medium. The method comprises the steps of obtaining a screen image of current social software in response to an obtained auxiliary interaction instruction; the auxiliary interaction instruction is used for instructing the intelligent terminal to capture a screen image according to a corresponding screenshot mode and feed back the screen image in a standard format form; preprocessing the screen image to obtain a to-be-recognized image; performing text recognition on the to-be-recognized image to obtain structured text data; the structured text data comprises text content and role affiliation information; performing semantic analysis on the structured text data to obtain a formatted prompt template; and inputting the formatted prompt template into a pre-trained auxiliary social text interaction large model to obtain an auxiliary interaction text. By adopting the method, timely and accurate interaction support can be provided for the user when the user chats on the social software, and the time for thinking, language organization and searching of the user is saved.

This application provides a method, apparatus, device, medium, and program product for information processing, relating to the field of social software technology. The method displays a decision panel in response to a first trigger operation on a first message in a group chat interface. The decision panel includes a decision-making item obtained based on the first message and the initiator identifier of the decision-making item. In response to a second trigger operation on a second message in the group chat interface, the second message is added to the decision panel for display, serving as the user's decision opinion on the decision-making item. Therefore, when conducting decision-making discussions, users do not need to frequently browse group chat messages; they can simply view the decision-making item and opinion in the decision panel, improving decision-making efficiency and enhancing the user experience.

The invention provides a method and system for processing travel information in an online general social software chat interaction window based on a large model, and the method comprises the steps: monitoring the online general social software chat interaction window running on front-end equipment based on a monitoring agent disposed on a background server, obtaining travel information processing content represented by habitual description of the user from the travel information processing content, and generating a travel information processing request according to the travel information processing content; based on the travel information processing request, a travel information keyword model on a background server extracts travel information keywords from travel information processing content; based on the extracted travel information keyword, a processing agent on the background server sends a travel information processing request to a travel information server to return processed travel information; and the processing agent formats the returned travel information to generate a travel information processing result and displays the travel information processing result on an online general social software chat interaction window in a dialogue mode.

1. The name of the product of this design: Translator (S3). 2. Application of the product of this design: A translation machine used for voice translation, text translation, simultaneous interpretation, instant audio translation, photo translation, and offline translation. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture. 5. Other situations that require explanation: This design product supports more than 138 languages ​​worldwide, covering voice, text, conversation, and simultaneous interpretation. It can be used across third-party social software and has instant translation functions such as audio and video calls, photo translation, and offline translation.

The invention discloses a user tag social contact method and device, computer equipment and a storage medium. The method comprises the following steps: receiving a personal tag uploaded by a first target user by using social contact software through a server; the server obtains the current geographic position information of the user and the personal label of the user; the server screens out a first target user in a target distance range according to the geographical location information of the user; and the server screens the first target user again based on the personal tag and the head portrait of the user, so that the server screens out a second target user matched with the user, and pushes the second target user to social software of the user for social contact according to a target matching degree. According to the method and the device, the personal tag of the user and the personal tag of the second target user are matched to find the appropriate second target user for social contact, and when the user wants to have social contact, the target crowd with the same trade can be found.

The invention discloses a wearable device social relation establishing method and system based on biomechanical recognition, and relates to the technical field of wearable devices and social contact. The system comprises a wearable device terminal and a social software client, wherein a biomechanical identification module, a wireless transmission module, a physical control module, a data storage module and a central processing module are arranged in the wearable device. The method is realized through the following steps: a user initializes social information and binds social software; the device enters a to-be-interacted state by pressing the'start key '; during handshaking, the equipment triggers wireless transmission through biomechanical identification, and bidirectional exchange of social information is realized; generating a friend request by the social software of the receiver; and the user completes friend addition through an enter key. Information interaction is triggered through handshake actions, the social relation establishing process is simplified, paper business cards and code scanning operation are replaced, efficiency and experience are improved, and meanwhile it is guaranteed that information is safe and controllable through physical keys.

The invention discloses a social software call recording processing method and device based on an intelligent terminal, and a terminal, and relates to the technical field of intelligent terminals, and the method comprises the steps: controlling to pop up a recording function selectable menu when detecting that social software starts a call request; when an operation instruction is received and a current call is selected to be recorded, starting a call process in the social software to carry out recording operation, and displaying a current recording state in real time through a floating window; and when detecting that the communication of the social software is ended, controlling to exit recording, and storing a recording file. New functions are added to the intelligent terminal, the intelligent terminal has a social software voice call recording function, voice of a social software APP in the call process can be recorded, great convenience is brought to a user, the user can choose to directly click recording and automatically quit recording after the call is finished, text and abstract records can be generated through the recording file, and the user experience is improved. And the user can check and edit conveniently, and great convenience is provided for the use of the user.

The invention discloses a friend remark recognition method and device for social software, and relates to the technical field of data processing. Receiving a remark identification request sent by the first user, and selecting a second user in the target friend list according to the remark identification request; determining a target chat frequency from the target chat information; when the target chat frequency is smaller than the preset chat frequency, determining a low intimacy level corresponding to the second user, and obtaining a first number and a second number according to the low intimacy level; acquiring a third number corresponding to the same position; inputting the first quantity, the second quantity and the third quantity into a preset relational database for query to obtain a first relational tag; and generating first remark list information according to the first relation label, so that the first user selects a first remark name from the first remark list information to remark the second user. By implementing the technical scheme, the tedious problem that the user needs to manually query to determine the identity of the friend without remark and remark is solved.

The invention discloses a method and device for constructing a social network relationship graph, equipment and a storage medium, and relates to the technical field of data processing. In the method, in response to a click operation of a first user, target social software is determined; if the target social software is authorized, obtaining target account information; judging whether the target account information is consistent with the personal information or not; when the target account information is consistent with the personal information, determining to acquire first target data from the target social software; processing the first target data to obtain multiple pieces of network relationship information; and constructing the multiple pieces of network relation information to obtain a target social network relation graph, and displaying the target social network graph to the first user, so that the first user can check the target social network graph corresponding to the target social software. By implementing the technical scheme provided by the invention, the efficiency of constructing the social network relationship graph is remarkably improved, and the problem of low efficiency during manual construction is solved.

A method and system for determining software information based on artificial intelligence. The present invention relates to the technical field of software information determination. The method includes obtaining a screen recording video of a user during a chat on a social software; determining user social software usage information based on the screen recording video of the user during a chat on the social software using a screen recording processing model; determining multiple similar standard users, the social software usage information of each similar standard user, and the chat setting interface that has been set for each similar standard user based on the user social software usage information; clustering the social software usage information of each similar standard user using the K-means clustering algorithm to obtain K clusters; determining the target chat setting interface of the user based on the user social software usage information and the K clusters; and setting the target chat setting interface of the user as the chat interface of the user. This method can determine a chat interface suitable for the user and improve the user experience.

The invention provides a network control method and system based on artificial intelligence and big data, and relates to the technical field of network control, the method comprises the following steps: using a chat window determination model to determine a plurality of chat windows opened by a user in a preset time period; determining the lowest downloading speed of the downloading task based on the emergency degree of the downloading task, the file size of the downloading task, the correlation degree of the downloading task and the user and the target downloading time period of the user; determining a target downloading speed section of the social software chat function and a target downloading speed section of the downloading task based on the lowest downloading speed of the social software chat function and the lowest downloading speed of the downloading task; according to the method, network control is carried out on the chat function and the downloading task of the social software based on the target downloading speed section of the chat function of the social software and the target downloading speed section of the downloading task, the network control can be accurately carried out on the chat function of the social software and the downloading speed of the downloading task, and the user experience is improved.

The invention discloses a content auditing method and device for a large model, and relates to the field of artificial intelligence, in particular to the technical field of data processing and the like. According to the specific implementation scheme, the method comprises the steps that a Serverless service component obtains first page content needing to be audited; performing first auditing on the first page content based on the service component set of the large model to obtain a first auditing result; the Serverless service component obtains second page content needing to be audited based on the first audit result; and performing second auditing on the second page content based on the service component set of the large model to obtain a second auditing result. According to the method and the device, various scenes in which the user uses the social software are simulated, so that the audited content is more comprehensive, and the first page content and the second page content which need to be audited are correspondingly audited through the service component set of the large model, so that the sensitive content which is deliberately avoided is audited, and the accuracy of the audited result is improved.

The invention provides a social software dynamic relationship prediction method and system based on a time sequence knowledge graph. The method comprises the following steps: S1, collecting data in real time; s2, processing time sequence knowledge graph data in the time sequence knowledge graph data set by using a multi-relation time sequence graph attention network, and establishing a fine-grained model; s3, combining the fine-grained model with a GRU network to construct a time evolution path, and outputting user dynamic representation; s4, obtaining static semantic embedding of each user, and taking the static semantic embedding as semantic core representation of the user in a full time span; s5, obtaining a final user representation containing space-time semantic collaborative optimization; s6, judging whether the relation is abnormal or not through a preset abnormal threshold value, and obtaining a prediction result; according to the technical scheme, the problems that in the prior art, social recommendation cannot give consideration to time-space dynamic characteristics and semantic association of user interaction at the same time, and the accuracy of relation prediction in a dynamic scene is insufficient are effectively solved, and a new solution is provided for a social software recommendation system.

Apparatus, systems, and methods a crypto chat social software system can use the user's biological information to ensure the security of the account through a secure encryption method, which is not easy to be cracked, so that the user can fully control the security of his account. Encryption on each data generated by the user's application of social chat software is performed to ensure that only the users themselves can view the application's data and digital assets. The server storage can be decentralized in that al data stored and backed up are encrypted information. Accordingly, users' private data and digital assets cannot be stolen and abused. At the same time, the user's data will not be affected, the user still owns, and only the user owns their private data and digital assets.

An intelligent meeting scheduling method and system based on social media conversations, for identifying meeting requirements in users'daily conversations and relevant participants and recommending suitable meeting times, includes: receiving and storing text messages including message content from a social software platform; scanning the message content to identify meeting-related terms and extract names and department names, and comparing them with organizational structure data to establish a participant list; accessing electronic calendar data of each participant in the participant list to read scheduled event information within a specified date and time range; calculating common available time slots for each participant within the specified date and time range, calculating suitability scores based on time slot scoring rules, and selecting time slots with the highest scores as suggested options; and receiving selection signals for the suggested options from participants and sending a resource reservation request to a conference room management system.

The present application relates to the technical field of data mining, and especially relates to a traffic safety public opinion analysis method based on an SQ-LDA topic model. The present application comprises the following steps: S1, obtaining traffic safety social software public opinion data; S2, preprocessing the traffic safety social software public opinion data; S3, extracting feature topics by using the SQ-LDA topic model; and S4, visualizing traffic safety social software public opinion hotspots. The sample quality negative sampling method in the SQ-LDA topic model of the present application calculates sample information quantity according to a gradient, so as to distinguish high and low quality negative samples, filter out low quality negative samples, maximize positive sample probability, minimize high quality negative sample probability, and further effectively mine and analyze traffic safety social software public opinion data. The present application sets a keyword frequency probability threshold value under a topic, and when the frequency probability of a keyword exceeds the set frequency probability threshold value, the keyword public opinion early warning under the topic will be triggered, thereby providing necessary technical support for social public opinion early warning.

The invention is suitable for the field of data processing, and discloses a dialogue completion method of social software, terminal equipment and a storage medium. The dialogue completion method of the social software comprises the following steps: executing an interface feature analysis operation on a screenshot to obtain an identification result of target software; if it is judged that the target software is the social software according to the recognition result, dialogue context analysis result information is generated according to the screenshot; and determining a user input fragment according to the current cursor position, and executing an intelligent completion operation according to the user input fragment and the dialogue context information to obtain a response option set. According to the method, the semantic relevance and scene applicability of completion suggestions are remarkably improved, and the problems of response machinery and scene splitting caused by lack of context awareness of a completion function of a traditional input method are solved.

The invention provides a risk detection method and device, a storage medium and electronic equipment, and the method is applied to the technical field of computers, and comprises the steps: detecting that a risk keyword exists in a social software window of a user and a first object, obtaining a social software account of the first object, and obtaining transaction data registration information of the first object in the transaction database based on the social software account, and if the transaction data registration information does not meet the transaction data exchange condition, outputting risk alarm prompt information. According to the method, the object possibly subjected to transaction data exchange can be determined by detecting the risk keyword, the transaction data registration information of the first object is searched and detected in the transaction data registration library, an alarm is given when the exchange condition is not met, prevention and control are carried out before a potential transaction data exchange event occurs, and the transaction data exchange efficiency is improved. And an unsafe transaction data exchange event is avoided.

According to the computer device disclosed by the invention, contact person information can be automatically copied after the display screen is touched due to an accident and the data interface is damaged, and the contact person information is transcribed into the second computer through voice or social software, so that the problem that a user needs to repair the touch display screen of the computer device firstly and then transcribe the contact person information is avoided.

The invention discloses a pregnant woman prenatal psychological state assessment method and system, and relates to the technical field of psychological state assessment. According to the system, the prenatal psychological state of the pregnant woman can be comprehensively and accurately evaluated by comprehensively collecting related information of various ways such as field interview, questionnaires, medical records, wearable equipment data, social software data and related personnel inquiry; moreover, the collected data can be cleaned, preprocessed and standardized, then an evaluation model is constructed through a deep learning model, and weighted distribution is performed according to the importance of different data types, so that a relatively accurate evaluation result is obtained, the prenatal psychological state of the pregnant woman can be accurately predicted, problems can be timely found, and the accuracy of the prenatal psychological state of the pregnant woman can be improved. The assessment report displays the current psychological state overall score, specific problem diagnosis, psychological state change trend analysis and main psychological risk factors of the pregnant woman in a visual chart form, and provides intervention suggestions for the pregnant woman and family members thereof.

The invention provides a social software health mode intelligent detection system and method, and relates to the technical field of image recognition and brain-like cognition inspiration artificial intelligence. According to the method, the interface image and the text content are subjected to multi-modal fusion analysis, by means of a brain-like memory and attention mechanism, whether the health mode of the social software meets the standard requirement or not is automatically judged through a brain-inspired brain-like pre-training large model, the detection intelligence degree is high, and the detection efficiency is high. Health mode prompt features in various forms such as characters, icons, interface layout and color themes can be recognized, and the detection accuracy is effectively improved; the system is high in adaptability, can adapt to different social software interface styles and hidden prompts by means of a context-guided attention mechanism and a long-term memory dynamic learning mechanism, has good generalization ability, supports real-time batch detection, and can remarkably reduce the cost of manual auditing.

The present invention discloses a method, system and medium for lossless magnification of pictures based on system memory processing. The method includes the following steps: configuring a picture analysis algorithm, a lossless magnification algorithm, a pixel value index table and a magnification factor index table; setting a picture quantity threshold and a data loading form; obtaining a target resolution and a target size, and calling the picture analysis algorithm based on the pixel value index table, the magnification factor index table, the picture quantity threshold, the target resolution and the target size to obtain picture magnification parameters; performing a lossless magnification operation based on the lossless magnification algorithm, the data loading form and the picture magnification parameters to obtain a lossless magnified picture. The present invention can magnify old photos and low-pixel compressed pictures transmitted on social software without losing pixel point information, and will not affect the duration of the lossless magnification operation due to the too large picture format, and the efficiency of picture processing is extremely high.

The present invention belongs to the technical field of social software development, and specifically, is a friend recommendation system and method based on ternary closure, comprising a data collection module, a data processing module, a weight calculation module, a state matching module, and a friend recommendation module; the data collection module determines whether to update data according to the user's geographical location and time; the data processing module pre-processes the user's activity data to cluster the user's activity data; the weight calculation module calculates the weight of the edge that may be formed between the recommended user and other users, adds the calculated weight value to a queue to be recommended, introduces an open coefficient, updates the weight value, and then adds it to the queue to be recommended; the state matching module introduces a state perception mechanism before recommendation to match the user's state with the state of other users; the friend recommendation module selects m users for recommendation for the user, and for each user, the weights of other users after state matching with the user are sorted in order of size, and the first m users are selected from them for recommendation.

The embodiments of the present application disclose an abnormal user prediction method and device. A specific implementation of the abnormal user prediction method includes: obtaining a set of behavioral data of a user and the user's associated users on social software; extracting features from the behavioral data set to generate a set of behavioral features; generating a set of directed graph triples based on the behavioral feature set; sorting the behavioral features of users with directed graph triples in the behavioral feature set in time sequence to generate time series features; inputting the time series features into a pre-trained abnormal user prediction model to predict whether the user is an abnormal user. This implementation predicts whether a user is an abnormal user based on the behavioral context of the user and its associated users using social software, thereby reducing the missed detection rate of abnormal users.

The invention belongs to the technical field of data processing, and discloses a method, system and device for automatically generating an image and a medium, and the method comprises the steps: obtaining user interaction data of social software, and carrying out the preprocessing of the user interaction data, and obtaining target data; performing relation extraction on the target data to obtain a relation set; compressing the relation set to obtain a compressed relation set; performing user relationship classification on the compressed relationship set to obtain a user relationship category; constructing a user relationship knowledge graph based on the user relationship category; and generating a dynamic image based on the user relation knowledge graph, and visually displaying the dynamic image. According to the invention, the relation between figures can be accurately extracted, so that a complex figure relation graph can be automatically generated.

The invention provides an intelligent assistant system for assisting social software dialogues and a method thereof. According to the system, a text message of a community software platform is received through a dialogue recording module, the content of the message is divided into a plurality of semantic units by a content processing module by applying a natural language processing technology, and the semantic units are converted into a newly added knowledge graph. The system is provided with a knowledge graph database for storing a preloaded knowledge graph and a newly added knowledge graph, a knowledge retrieval module queries the preloaded knowledge graph according to a semantic unit to obtain a related knowledge graph, and a reference data module generates a reference data message with relevance according to the related knowledge graph. According to the method and the device, the user can be assisted to obtain related reference information in the community conversation, and the reference information can comprise at least one of related information prompt, suggested reply content or historical related information, so that the communication efficiency is improved.

This invention relates to a time-weighted difference-aware response generation method and system based on auto-step learning. The method includes the following steps: Step A: Collect natural, open-domain dialogues from social media software, and use a retrieval system to search for relevant background knowledge of the dialogue in an encyclopedia, and label real responses and real knowledge to construct a training dataset. DE Step B: Using the training dataset DE Step C involves training a time-weighted difference-aware deep learning network model M based on a self-synchronizing learning strategy. This model selects necessary background knowledge and generates responses based on the selected background knowledge. Step C involves inputting the dialogue context and background knowledge base into the trained deep learning network model M to generate corresponding responses. This method and system help improve the accuracy of generated responses.

This invention relates to the technical field of teaching scheduling management, and discloses a method and system for visualized intelligent scheduling of student learning courses based on big data. The system includes a student preset timetable management module, a student customized timetable management module, and a student timetable comprehensive creation module. It dynamically creates personalized blank timetables for student groups based on table text processing, enabling students to rationally and scientifically arrange their course order according to their personal learning plans. Based on the blank timetable text information and contact information of target students, and combined with a course management platform and social software, it autonomously and efficiently performs the task of creating and collecting timetable text information for the target student group at specific times. Simultaneously, it combines data analysis to comprehensively analyze the existence of timetable customization results for the student group, achieving reliable timetable creation based on both preset and customized timetables, thus improving the scientific nature and personalization of scheduling management.