10 results about "Information technology consulting" patented technology

The invention relates to the technical field of artificial intelligence application, and discloses an information technology auxiliary consultation system based on artificial intelligence. The system comprises a data acquisition module, a knowledge graph construction module, an intention analysis module, a decision engine module, a strategy optimization module and a feedback correction module. The data acquisition module acquires multi-dimensional data such as a semantic type, an intention label and a historical interaction record of a user consultation request in real time; the knowledge graph construction module dynamically generates a hierarchically associated domain knowledge graph according to the domain database; and the intention analysis module completes user intention classification and analysis through a multi-level attention mechanism. The decision engine module combines the analysis result and the knowledge graph to generate candidate strategies, and the strategy optimization module screens out target strategies meeting real-time response requirements through an adaptive weighting algorithm. The feedback correction module utilizes user interaction data to update system parameters, improves service precision, and is suitable for various information technology consultation scenes.

The invention provides an information technology consultation process management system based on the Internet, and relates to the technical field of information technology management. A client interaction port of the system collects consultation texts and operation events in real time to generate a behavior track data set; the semantic path tracking module analyzes the data set to construct a demand evolution diagram; the path response arrangement module generates a service sequence according to the demand evolution diagram and binds consultant resources; the service recording module monitors data such as satisfaction and time delay to trigger path optimization, analyzes the weight of an efficiency attenuation point reconstruction demand evolution diagram and inputs the weight into the information pushing module during path optimization; and the information pushing module actively pushes a solution entry according to the information. The problems that dynamic changes of client intentions are difficult to accurately capture and the service process cannot be optimized in real time are solved, the intelligent level and the execution efficiency of the consultation process are improved, the experience feeling and the satisfaction degree of clients are improved, and meanwhile the utilization efficiency of consultation resources is improved.

The invention provides an enterprise information technology consultation service quality evaluation method, and relates to the technical field of information technology management. According to the method, multi-source evaluation data of each participant is received and processed, an evaluation semantic spectrum is constructed by using a self-weight semantic mapping network, and a cognitive path and a tendency mode of each participant are represented. The method comprises the following steps: extracting a conflict block through a cross-domain conflict identification rule, carrying out mapping normalization by using a voltage-adjustable co-integration factor, generating a multi-party consensus initial layer region, inputting the consensus initial layer region into a multi-mapping-difference embedded model for learning, dynamically adjusting a semantic weight, and outputting an aggregation quality score. And constructing a dynamic correction tensor flow based on the aggregation quality score and actual feedback data, and regularly updating regulation and control parameters of the semantic mapping network and the conflict recognition rule to realize adaptive evolution of the evaluation rule. According to the method, objectivity, accuracy and dynamic adaptability of an evaluation result are effectively improved, and stable, coherent and accurate evaluation support is provided for long-term decision making of an enterprise.

The application discloses an information technology consultation terminal based on big data analysis, which comprises a search instruction input module, a search instruction analysis module, a search instruction output module and a permission system module; the search instruction input module comprises an instruction input unit; the search instruction analysis module comprises a user unit and a server unit; the user unit comprises a user registration subunit, an identity verification subunit and a login subunit; user information collected by the user unit comprises user name, user certificate information and user face information; the application realizes the function of verifying whether the user is consistent with the registerer through the cooperation among the search instruction analysis unit, the user end, user registration and face recognition, the audit of the user face by face recognition, effectively solves the problem of stealing other people's account search, and avoids the problem of the leakage of personal privacy and enterprise internal server information, which causes great loss of enterprises.

The invention relates to the technical field of information technology consultation, and discloses an information technology consultation service method and system based on correlation analysis. The system comprises a data acquisition and feature processing module, a correlation analysis and scheme optimization module, a consultation scheme generation and correction module, a report generation and output module and an effect evaluation and adaptive optimization module. When customer information technology demand data and solution database data are acquired and processed, the consistency of the customer demand data and the solution data in structure and frequency is ensured by formulating a standardized data acquisition process and a multi-dimensional feature extraction method; the problem that data sampling frequencies are not matched can be detected and avoided in real time, the accuracy and reliability of correlation analysis basic data are guaranteed, recommendation errors caused by data distortion are reduced, and the accuracy of information technology consultation services is improved.

The application relates to the technical field of computer information and machine learning, and particularly discloses an information technology consultation management system and method based on big data, which comprises a dynamic constraint perception module, a scheme knowledge graph module, a multi-target optimization engine module and a scheme self-adaptive evolution module. Through real-time perception of multi-dimensional dynamic constraints, semantic support is provided by using the knowledge graph, and a multi-target optimization algorithm is used to balance and optimize among targets such as cost, benefit and technical adaptability, so that the consultation scheme can intelligently select and evolve strategies according to constraint conflicts, the continuous self-adaptive evolution and optimization of the scheme in the whole life cycle are realized, and the agility and accuracy of the consultation service are improved.

The application discloses a network information technology consultation exchange platform application method and system, and relates to the field of network information technology, which realizes personalized consultation exchange of new and old users by constructing a platform connected with multiple technology databases. New users are provided with initial simulation consultation when registering, and a similar technology database is constructed through in-depth data mining, and the matching degree is calculated to push related content. Old users construct demand models according to historical records to push customized information. All exchange record data are protected to prevent leakage. The system analyzes IP and geographical position in real time, implements risk area management and double identity verification to ensure data security. The method improves the accuracy of information pushing and user experience, strengthens data protection, and improves the safety and service quality of the platform.

The invention relates to the technical field of information, in particular to an information technology consultation system which comprises an information acquisition module, a data analysis module, a demand evaluation module, a solution generation module, an implementation recommendation module, a feedback and improvement module and a knowledge base module. Wherein the information acquisition module is used for collecting basic information, business process data and historical technical problem records of an enterprise; the data analysis module is used for identifying technical requirements and potential problems of an enterprise; the demand evaluation module is used for carrying out priority ranking on technical demands of the enterprise; the solution generation module is used for generating a targeted technical solution; and the implementation scheme recommendation module is used for recommending an optimal implementation scheme. According to the system and the method, enterprise data are integrated and updated in real time, a personalized solution is provided, the consultation accuracy and the ability of an enterprise to cope with technical challenges are improved, services are continuously optimized through a self-learning mechanism, and the technical innovation and market competitiveness of the enterprise are enhanced.

The application provides an information technology consultation terminal based on big data analysis, and belongs to the technical field of information technology consultation. The consultation terminal base is provided with a consultation terminal touch all-in-one machine at the top end. The consultation terminal touch all-in-one machine is externally provided with a touch screen, a language module, a touch switch and an infrared induction switch. The dust cover and the cleaning assembly are arranged, so that when the consultation terminal is not in use, the dust cover can cover the outside of the consultation terminal touch all-in-one machine, preventing dust from accumulating on the touch screen. When the consultation terminal is in use, the dust cover can drive the cleaning assembly to work synchronously during unfolding, wiping and cleaning the outside of the touch screen, so that the outside of the touch screen is always clean every time the consultation terminal is used, avoiding the influence of dust, sweat and fingerprints on the use effect of the user.