29results about How to "Improve persuasiveness" patented technology

The invention discloses a form and data visual display method and system based on a low-code platform, and belongs to the technical field of software development, and the method is implemented by the following steps of: visually creating a form, and providing a core component for creating the form based on a webpage draggable technology so as to create a complete form meeting business requirements; the drag configuration comprises form layout configuration and form item configuration; persisting the form, storing configuration data of the form in a database, materializing a table structure, and storing a JSON object of configuration of the form; setting a form data model; setting access authority; accessing by a form filling person; performing dynamic rendering; and storing the filling data of the form filling person. According to the method, a large amount of repeated work can be solved, more concerned services can be developed, the efficiency can be quickly improved, the research and development cost can be saved, and meanwhile flexibility is kept.

The invention relates to the technical field of intelligent voice interaction, in particular to an AI mobile phone voice interaction method oriented to automatic marketing, which comprises the following steps of: providing a comprehensive basis for personalized marketing and improving the marketing pertinence by recognizing a user emotional state and a real-time user intention in parallel and mastering the user state; an emotion state transition network is dynamically constructed and updated, key indexes are extracted, and a user emotion change rule is analyzed, so that an interaction strategy is accurately adjusted; semantic fragments are recombined by combining emotional stability and emotional infection degree indexes, adaptive dynamic marketing verbal skill is generated, the attraction and persuasion of the verbal skill are enhanced, and the marketing effect is improved; the local NPU is utilized to synthesize emotional voices and superpose features, so that natural and vivid interaction experience is provided, and recognition of a user on marketing content is enhanced; through dynamic decision-making verbal skill strategy cross-scene switching, timely adjustment is carried out according to user changes, marketing strategy stiffness is avoided, and the marketing success rate is guaranteed.

The invention discloses a tourism advertisement marketing system based on big data, and relates to the field of advertisement putting, and the system comprises the following components: an intelligent putting and social promotion module which accurately puts an advertisement to a target audience according to an analysis result of a user relation network, and simultaneously puts the advertisement to the target audience through sharing, forwarding and interaction functions of a social media platform; according to the system, a user can be guided to participate in propagation and promotion of advertisements, the system can also adjust a putting strategy in real time according to feedback and interaction data of the user, the propagation effect and conversion rate of the advertisements are improved, and through a reinforcement learning algorithm adopted by the intelligent putting and social promotion module, the characteristics of social media are fully utilized; through sharing, forwarding and interaction functions, the advertisement can be quickly spread in the user relation network, so that the spreading range of the advertisement can be expanded, the number of potential customers can be increased, the credibility and persuasion of the advertisement can be improved, and the advertisement can be more easily trusted and recognized by other users.

The invention discloses a tight-lock coupler intelligent tensile testing machine and a testing method thereof, and belongs to the technical field of tight-lock coupler test.The tight-lock coupler intelligent tensile testing machine comprises a mounting bottom plate and an electric control cabinet, and a support for supporting a tight-lock coupler to be detected is mounted on the surface of the mounting bottom plate; a tensile connecting frame for connecting the tight-lock coupler is mounted on the surface of the bottom plate on one side of the support, an integrated design of'tensile force detection and visual detection 'is innovatively adopted, mechanical parameter acquisition and visual deformation observation are combined, traditional mechanical data such as tensile force and displacement are obtained, and visual characteristics such as fine deformation and crack initiation are captured; precise synchronization of pulling force application, displacement collection and camera shooting is achieved through the synchronous controller, the real-time corresponding relation of pulling force-displacement-visual deformation is established, the problems that an existing device is single in detection dimension and poor in data relevance are solved, and the potential quality hazard checking capacity and the persuasion of a detection result are improved.

The invention discloses a driving style recognition system based on a natural driving database, and relates to the technical field of automobile driver driving style recognition, and the key point of the technical scheme is that the driving style recognition system comprises a feature extraction module, an offline clustering analysis module and an online recognition and verification module. According to the invention, a driving style identification system based on a natural driving database is established, and feature extraction and clustering analysis are carried out on a high-dimensional large-volume database, so that the driving style of a driver is effectively identified; according to the system, the comfort of the vehicle is considered, the vehicle state response representing the riding comfort is introduced into a driving style recognition model, the recognition precision of the driving style is effectively improved, a feasible scheme is provided for analysis and processing of vehicle high-dimensional mass sample data in China, and meanwhile, the driving style recognition precision is improved. The system can provide technical support for safe driving and riding comfort of the vehicle.

The invention discloses a composite model for identifying public health false information and a construction method, and relates to the technical field of information data processing, and the composite model comprises a data acquisition module, an information processing and analysis module, a false information identification module and a rumor reverse module. An advanced natural language processing technology and a large language model are adopted, so that the system can accurately and quickly recognize false information and rumors from a large amount of information, the accuracy and speed of false information recognition can be improved, meanwhile, a continuous learning and optimization mechanism is included, new false information strategies can be continuously adapted, and the recognition efficiency is improved. And the progress of related technologies and the updating of public health knowledge are promoted, so that false information is intervened in time, the market and social order can be maintained, and the economic loss caused by panic is reduced.

The application discloses a kind of ship intelligent navigation algorithm simulation verification system and test method, the system uses four-layer modular structure, including: virtual navigation environment module, standardization data interaction module, algorithm execution module, quantitative evaluation module;Between each module, standardization data interaction module is realized two-way data transmission, forms the complete simulation verification system capable of independent test and closed-loop operation.The method, using the system, the steps are: step 1: build inland virtual navigation scene, step 2: select test mode and configure algorithm, step 3: start simulation and data acquisition, step 4: evaluation index calculation, step 5: generate verification report.The algorithm unit of the application can be independently accessed to test, without overall reconstruction, perception, decision-making, control algorithm can be quickly adapted, greatly reduce the difficulty of integration debugging, improve algorithm development and verification efficiency, effectively shorten the intelligent ship development cycle.

The application discloses a traditional Chinese medicine property analysis system and method, and a computer readable storage medium. The system comprises an information acquisition unit, a first analysis unit, a quantification unit and a second analysis unit. The method comprises grouping patients with consistent conditions and grouping traditional Chinese medicines according to different influencing factors; analyzing the influence of different influencing factors of traditional Chinese medicines on treatment effects; analyzing the quantitative relationship between the dosages of traditional Chinese medicines with different influencing factors and the dosages of traditional Chinese medicines required to achieve the same treatment effects; and analyzing the influence of influencing factors of traditional Chinese medicines on the properties of traditional Chinese medicines. The application analyzes the influence of different influencing factors of traditional Chinese medicines on treatment effects, further obtains the influence of influencing factors of traditional Chinese medicines on the properties of traditional Chinese medicines, and thus obtains the dosages of traditional Chinese medicines suitable for the current situation according to the quantitative relationship between the dosages of traditional Chinese medicines with different influencing factors and the dosages of traditional Chinese medicines required to achieve the same treatment effects, which is favorable to increasing the accuracy of the dosages of traditional Chinese medicines, strengthening the comprehensive understanding of the properties of traditional Chinese medicines, enhancing the modernization degree of traditional Chinese medicine, improving the persuasiveness and reliability of traditional Chinese medicine, and being favorable to the international development of traditional Chinese medicine.

This invention relates to the field of simulation demonstration devices, providing a water-voltaic effect simulation device based on electrolytic color development, comprising a water-voltaic power generation module and an electrolytic color development module. The water-voltaic power generation module includes a water-voltaic effect thin film and a circulation mechanism, while the electrolytic color development module includes a transparent electrolytic cell, an inert electrode pair, and a standard electrolyte. The weak electrical signal generated by the water-voltaic power generation module is directly applied to the inert electrode pair, directly driving the electrolytic reaction within the transparent electrolytic cell without the need for external amplification circuitry. The electrolytic color development module simultaneously displays the instantaneous power and accumulated charge of the water-voltaic power generation module through the cathode bubble generation rate and the color change area of ​​the acid-base indicator near the cathode. This invention requires no external power supply amplification, intuitively demonstrates the conversion relationship between electrical energy and chemical energy, supports multi-water quality variable control experiments, and is suitable for teaching demonstrations in university physics, materials, and environmental courses.

The invention discloses a curriculum commodity personalized recommendation method and device, a terminal and a storage medium, and relates to the field of commodity recommendation. The method comprises the following steps: acquiring client target data and multi-dimensional current situation data to perform state quantification to obtain a quantized state set, constructing a course logic relation graph, mapping knowledge level differences to graph effective nodes, performing topological sorting and time resource filtering to obtain candidate learning paths, and performing learning on the candidate learning paths. And calculating the comprehensive gain value of the candidate learning path, and selecting the path corresponding to the highest value as a personalized recommendation path. Meanwhile, the method also comprises a rapid recommendation step for new customers or data sparse customers. The technical effects of providing a personalized course commodity recommendation scheme according to the actual condition of the customer, improving the accuracy and effectiveness of recommendation, saving the learning time for the customer, improving the learning effect and facilitating the new customer to quickly obtain proper recommendation are achieved.

The invention relates to the technical field of pharmaceutical and chemical rectifying tower energy consumption remote control, and particularly discloses a pharmaceutical and chemical rectifying tower energy consumption remote control system. The system comprises a tower kettle temperature conformity analysis module, a tower kettle reboiler temperature control module, a condensation temperature conformity analysis module, a tower top condenser temperature control module, a product energy consumption reasonability feedback module and a database. By analyzing the tower kettle temperature conformity, confirming the temperature of the tower kettle reboiler, analyzing the condensing temperature conformity, confirming the temperature of the tower top condenser, analyzing the product energy consumption reasonability corresponding to the target rectifying tower and feeding back, the accuracy of temperature regulation of the tower kettle reboiler is improved, the condensing efficiency of the rectifying tower is improved, and the product quality is improved. Therefore, the energy consumption of the rectifying tower is reduced, the production cost of the rectifying tower is reduced, and meanwhile, the timeliness of finding and processing the abnormal condition of the energy consumption of the rectifying tower is improved.

The invention relates to the technical field of optical surface shape detection, in particular to an optical surface shape full-band error analysis method based on a frequency domain attention mechanism, and the method comprises the steps: obtaining a surface shape detection result data set and a full-band error data set; based on spatial distribution of different frequency band information in a frequency domain, constructing a frequency domain attention mechanism, and obtaining and constructing a low-frequency error extraction neural network, an intermediate-frequency error extraction neural network and a high-frequency error extraction neural network with the frequency domain attention mechanism; respectively training the three error extraction neural networks by using the surface shape detection result data set and the full-band error data set to obtain three corresponding error extraction neural models; and respectively inputting the surface shape detection result of the optical element to be detected into the three error extraction neural models, and respectively extracting a low-frequency error, an intermediate-frequency error and a high-frequency error. The method provided by the invention has relatively high universality, does not introduce human subjective errors, and is high in analysis precision.

The invention provides a biomarker for predicting the treatment response of an ovarian cancer patient to a VEGFR (vascular endothelial growth factor receptor) inhibitor and application of the biomarker, and finds that the fat volume of the ovarian cancer patient can be used as the biomarker for predicting the curative effect of the VEGFR inhibitor to tumors. Based on two markers of visceral fat volume and subcutaneous fat volume, an SAS trajectory analysis model is constructed, and clinical benefit people of an ovarian cancer VEGFR inhibitor treatment scheme are screened out; further in-vitro co-culture and in-vivo animal experiments prove that the existence of fat cells can specifically enhance the anti-tumor effect of the VEGFR inhibitor, and clinical correlation is explained from a biological mechanism; the invention provides a new tool and theoretical basis for realizing individualized precise medication of ovarian cancer targeted therapy.

The application provides a kind of thermal protection interlock logic knowledge base construction method and system, comprising: based on graph database construction knowledge graph;Combining the initial knowledge item generated by preset hazard dimension, and retrieve the citation basis related to initial knowledge item from multi-source thermal data, the citation basis is associated with initial knowledge item, form the knowledge item after association;The associated knowledge item is verified in multiple rounds, and the verification includes calling the existing knowledge in the knowledge graph for logical self-checking, cross verification with historical knowledge items and backstepping verification based on accident cases, and output the knowledge item that passes the verification;Continuously monitor the thermal data source, generate knowledge update proposal based on the knowledge item that passes the verification, and update the knowledge graph and knowledge item after compatibility verification and artificial review of the update proposal.The application reduces the risk of knowledge deviation caused by human error through automated process and multiple verification mechanisms.

The invention belongs to the technical field of obstetrics and gynecology disease prediction, and particularly relates to a premature fetal membrane premature rupture prediction marker based on maternal circulation exosome microRNA and an application kit. According to the invention, placentas, fetal membranes and plasma exosomes of pregnant women with full-term birth and premature birth premature rupture of fetal membranes are collected for sequencing, the fetal membrane-derived exosome hsa-miR-145-3p which can be detected in the plasma exosomes is screened out in combination with a verification set, and the cell source and the premature birth promoting effect of the fetal membrane-derived exosome hsa-miR-145-3p are respectively clarified at a cell level and an animal level; and finally, by detecting the level of the plasma exosome hsa-miR-145-3p of the pregnant 12 (+ 1)-17 (+ 6) perimaternal body, the efficiency (AUC = 0.833) of the exosome in predicting the occurrence of premature rupture of fetal membranes in premature delivery is illustrated. According to the method, the high-risk crowd of the pPROM can be predicted through a noninvasive method in the early and middle stages of pregnancy, and the method has guiding significance for subsequent prevention and intervention of the high-risk crowd.

The application discloses an interpretable analysis and decision sharing verification method and system for a colorectal cancer prognosis model, and relates to the field of medical artificial intelligence interpretability. The method comprises the following steps: performing gradient weighted class activation mapping analysis on the prognosis model to generate an image heat map; calculating the contribution degree of multi-modal features by using a SHAP interpreter; constructing an integrated visualization interface to present the patient data, model prediction and the above-mentioned explanation results to doctors; the doctors perform independent risk assessment based on the interface information; and finally, the decisions of the doctors and the model are compared to evaluate the auxiliary performance of the model. Through multi-level explanation and innovative doctor-model decision sharing verification mechanism, the transparency and clinical credibility of the complex AI prognosis model are significantly improved, the value of time series data in dynamic risk assessment can be verified, and the clinical landing application of the AI model is effectively promoted.

The application claims a cascaded feature extraction method for agricultural product price prediction, belonging to the technical field of artificial intelligence and agricultural economic analysis. The method adopts a three-level cascaded processing architecture: first, a filter-type coarse screening is realized through K-neighbor mutual information estimation, realizing preliminary dimension reduction; second, embedded feature selection is realized through an XGBoost model, and core prediction features are screened out; finally, multi-scale enhancement is realized through discrete wavelet decomposition on the time series core features, and trend and fluctuation components with clear physical meaning are constructed. Based on the processed enhanced features, a bidirectional long short-term memory network prediction model is constructed, and an ablation experiment of the system is designed to verify the effectiveness of each level of processing. Through systematic feature extraction and enhancement, the precision and stability of agricultural product price prediction are significantly improved, providing reliable technical support for market early warning and agricultural economic decision-making.

The invention discloses a Chinese yam decoction piece origin traceability method based on GC-MS and hyperspectral imaging fusion and application. The method comprises the following steps: S1, preparing a sample; s2, data acquisition; the method specifically comprises the following steps: S21, acquiring hyperspectral data; s22, GC-MS data acquisition; S3, multi-source data feature analysis; s4, feature screening and data fusion; s5, model construction and performance verification; and S6, constructing a fusion fingerprint spectrum. The data fusion model overcomes the problems of easy overfitting and poor generalization ability of a single technology, and the traceability result is more reliable. The classification accuracy of the random forest model based on fusion data reaches 92.3%, which is significantly higher than that of a single data source method. A unique visual identifier is provided for each producing area by fusing the fingerprints, and technical transformation and industrial popularization are facilitated.

The invention discloses a book recommendation method and device, a storage medium, equipment and a program product. The method comprises the steps of obtaining a target topic matched with a target book in multiple modes; a recommendation reason matched with the target book is generated according to post contents of related posts under the target topic, the recommendation reason is used for establishing association between the target book and the target topic, and the related posts are posts related to the target book under the target topic; and displaying the target book and the recommendation reason. According to the method, the target topic highly related to the book is introduced, and the recommendation reason is generated based on the post content of the related post under the target topic, so that the richness and attraction of the recommended copywriting are increased, the book recommendation effect is remarkably improved, and the click conversion rate and the overall reading experience of the book are improved.

The invention provides a method for evaluating shale oil molecule composition in different occurrence states under in-situ conditions of medium and high-maturity shale. The method comprises the following steps: performing pressure-maintaining coring to obtain a shale sample; rapidly crushing the shale sample to 20-60 meshes, and carrying out component analysis in TD-GC (Time Division-Gas Chromatography) to obtain the free oil light component molecular composition in the communicating holes; the method comprises the following steps: crushing a shale sample to 2.5-5 meshes, and sequentially and respectively extracting by using normal hexane and dichloromethane; then crushing the residue shale sample to 60-80 meshes, and extracting by using dichloromethane; finally, crushing the residue shale sample to 200-250 meshes, and extracting by using a mixed solvent of dichloromethane and methanol; and carrying out molecular composition analysis on the obtained extract. According to the method, light component dispersion loss is considered, and the reliability and persuasion of an evaluation result are greatly improved; molecular composition of shale oil in different occurrence states is determined, difference of molecular composition of shale oil in different pore spaces is clarified, and shale oil component systematic evaluation is realized.

The present invention relates to the technical field of production line safety monitoring, and specifically to a safety monitoring system for a passivation magnesium powder process production line. By comprehensively monitoring and analyzing the flow rate, pipeline pressure, and apparent conditions of raw material transportation corresponding to each sub-production line area, and thereby correspondingly analyzing the raw material transportation status corresponding to each sub-production line area, potential problems in the raw material transportation link can be discovered in a timely manner to ensure the stability and safety of raw material transportation; by monitoring and analyzing the raw material transportation, melting process, atomization process, passivation process, and drying process in the passivation magnesium powder process production line corresponding to each sub-production line area, the one-sidedness of safety monitoring in the current technology is effectively solved, and comprehensive and intelligent monitoring and analysis of the passivation magnesium powder process production line is achieved, avoiding safety accidents caused by abnormalities in each link of the passivation magnesium powder process production line, and effectively ensuring the product quality of the passivation magnesium powder.

This invention relates to a chip for identifying polysaccharides from traditional Chinese medicine containing the structure →4)-β-D-Manp-(1→ and its application, belonging to the field of biochip technology. The chip of this invention comprises a solid-phase support and a microarray system, wherein the microarray system is fixed on the surface of the solid-phase support. Using a glass substrate treated with hydrazide as the carrier, the invention precisely spots the target polysaccharide, polysaccharide standards, and negative / positive controls using a spotting instrument to construct a polysaccharide chip containing 16 subarrays. After blocking the non-specific binding sites of the chip with a blocking buffer, fluorescently labeled LM21 antibody is added to the subarrays for incubation. By collecting fluorescence signals, the relative fluorescence unit value is obtained, directly reflecting the binding strength between the polysaccharide and the LM21 antibody. This invention is simple to operate, has high detection sensitivity, and strong structural recognition specificity, and can be widely used for the rapid screening and precise structural characterization of active polysaccharides from traditional Chinese medicine, providing an efficient technical means for the development and utilization of polysaccharides from traditional Chinese medicine.

The invention discloses an 8K three-dimensional water-and-ink animation freehand style big cock making method, and belongs to the technical field of range, in the method, traditional water-and-ink paintings are reproduced in a movie and television mode by interpreting, deducting and remolding traditional Chinese medicines and utilizing the unique advantages of the traditional Chinese medicines, so that more excellent animation works are presented, and the market competitiveness of the large cocks is improved. And the movie has a better effect by emphasizing the spatial extension characteristic of the big cock animation lens. According to the method, the lens is well switched under different scene requirements, the picture can be smooth and natural, the authenticity of big cock animation is enhanced, the persuasion and vividness of the picture are enhanced by changing different visual effects and ingeniously changing the perspective relation of the picture on the basis of the modern technical means, the tension, the level and the conversion naturalness of the lens are enriched, and the picture is more vivid and more vivid. The visual relation of perspective and the like in the traditional three-dimensional water-ink animation can be reproduced, so that the obtained big cock animation is more attractive.

The application discloses a kind of construction methods of double-variable structure optimization scheme for inhibiting flow corrosion of stop valve, the method comprises the following steps: according to the demand of inhibiting flow corrosion of stop valve, two structure variables of optimization scheme are determined;Initial control group, single variable group and double variable group are set up and numbered;The valve model corresponding to the numbered scheme is modeled and its three-dimensional flow passage model is extracted;The flow passage model is meshed;For multiple model schemes, simulation analysis is carried out based on CFD for each scheme, and calculation data is obtained;Data and image processing is carried out on the calculation data, and flow corrosion cloud chart and maximum corrosion rate statistical chart are obtained;The flow corrosion cloud chart and the maximum corrosion rate statistical chart are compared;Determine the optimal structure optimization scheme based on the comparison result.The construction method is double-variable structure optimization for stop valve, greatly improves the effect of inhibiting flow corrosion of stop valve, and has sufficient control at the same time, enhances the persuasiveness of optimization scheme.

This application discloses a method, apparatus, medium, and device for intervening in misinformation on social networks based on graph causal reasoning. It constructs a user influence graph to select trust-oriented users as nodes, estimates individual treatment effects using a causal forest algorithm to determine high-value intervention targets, generates personalized intervention text using efficient parameter fine-tuning technology, and injects it into the social network for real-time monitoring and updates, achieving precise and efficient misinformation intervention. This method constructs a user influence graph containing time-attitude trajectories and semantic context sets, employs a causal forest algorithm under a dual machine learning framework to select key users, constructs a multi-dimensional policy space through the SMCR propagation model, and generates personalized intervention responses by combining counterfactual exploration mechanisms and efficient parameter fine-tuning technology. It can increase the individual belief reversal rate by 7.9%, reduce the final infection rate of misinformation by 35.2%, and achieve the suppression effect of traditional methods requiring only 5% of intervention resources, while requiring 15% of the resources.

This invention discloses a method for stability analysis of base stations in a reservoir dam safety monitoring and control network. Addressing the shortcomings of existing technologies, such as lack of physical modeling, low signal separation accuracy, and incomplete interference removal, this method obtains millimeter-level coordinate time series through GNSS raw data preprocessing; it finely eliminates non-tidal atmospheric / oceanic loads and non-hydrological interferences such as the thermal expansion effect of observation piers and bedrock; it constructs a hydrological load model based on reservoir contour, water level, and rock mass parameters, and verifies it through both finite element simulation and a half-space elastic model; it employs a VBPCA-FastICA combined algorithm to accurately extract hydrological load signals; and it completes a quantitative stability evaluation by combining short-time repeatability, station velocity, and residual RMS multi-dimensional indicators. This invention achieves bidirectional verification of hydrological load physical forward modeling and observation data, accurately distinguishes between tectonic and hydrological non-tectonic displacements, significantly improves signal separation and stability assessment accuracy, and is suitable for reservoir dam hydrological-dominant monitoring scenarios. It can be used for stability determination and control network optimization of base stations in large-scale water conservancy projects.

The invention discloses a bionic hoof simulation device based on biomechanical simulation and an experience system, the device comprises a wearing part and a mechanical transmission mechanism, the wearing part extends along the longitudinal direction and defines a coating space, the mechanical transmission mechanism is fixedly arranged on the wearing part, and the mechanism enables a load transmission part to be arranged at the near end of a tail end joint of an experiencer through a rigid supporting piece; a main supporting assembly with a first friction characteristic is fixedly arranged at the far end of the device, and an auxiliary braking assembly with a second friction characteristic is fixedly arranged on the outer side of the wearing part. A space compensation gap is formed between the ground contact working surfaces of the main supporting assembly and the auxiliary braking assembly, so that the device is switched between a sliding state in which only the main supporting assembly abuts against the plane and a braking state in which the auxiliary braking assembly intervenes along with the change of the inclination angle of the wearing part. According to the invention, the load is conducted by bypassing the joint through the rigid support, the kinematic mechanics logic of the undules is simulated through cooperation of multiple assemblies, and the motion safety is ensured while the simulation cognitive experience is improved.

The application belongs to the technical field of book recommendation, and particularly relates to a book recommendation method and system based on a knowledge graph. The method comprises the following steps: S1, acquiring book related data and book system user related data; S2, cleaning the book related data and the book system user related data; S3, constructing a knowledge ontology according to the cleaned book data, and generating a classified book knowledge graph; S4, constructing a knowledge ontology according to the book system user related data and user system use condition information, and generating a user knowledge ontology and a user portrait knowledge graph; and S5, generating a personalized book recommendation for a user according to the book knowledge graph, the user knowledge ontology and the user portrait knowledge graph, and combining a hybrid sequence recommendation algorithm. The application has the characteristics of combining a deep learning technology, using a knowledge graph to represent book knowledge information and user interest conditions, and being highly automated, dynamic and efficient.