Visual analysis tool for information retrieval behaviors
Through the multi -module visual analysis tools of information retrieval behavior, the problems that existing technology cannot effectively display information retrieval behavior cannot be effectively displayed, realized more fast and interactive information acquisition and understanding, and found data models and trends.
Patent Information
- Application Number
- CN202411547424.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-01
- Publication Date
- 2025-01-28
AI Technical Summary
The existing technology cannot effectively demonstrate the diversity of information retrieval behavior, resulting in the incompleteness of the single analysis results, lack of targetedness, and the inability to directly conduct clear visual analysis.
Provide visual analysis tools for information retrieval, including display tools, operating tools, cloud databases, and visualization systems. Through multi -module visual system processing and display retrieval behavior, including retrieval results, processes, demand expression, browsing process, and results of the relationship module module module module module Essence
Through multi -module visual display, users or management systems can quickly understand data distribution and relationships, improve information acquisition speed, enhance the interactive experience, find the models and trends in the data, and improve information understanding and correlation.
Smart Images
Figure CN119377250A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of analysis systems, and in particular is a visualization analysis tool for information retrieval behavior. Background Art
[0002] Visual analysis tools are a technology or software that presents large amounts of data in a graphical form, making data analysis easier and faster; At present, the actions performed when information users interact with information systems are information retrieval behaviors. When users perform information retrieval behaviors, the retrieval behaviors of the corresponding software will be obtained by the management end and intelligently analyzed. The information is processed, sorted, organized and stored in a certain way, and then the relevant information is accurately found according to the specific needs of the information users. In this process, due to the diversity of retrieval behaviors, different behaviors in the retrieval process will have different presentations, resulting in a single analysis result that is not comprehensive enough and does not have strong pertinence. In addition, the analysis tools used cannot directly and clearly display the visualization analysis. Therefore, we propose a visualization analysis tool for information retrieval behavior. Summary of the invention
[0003] In view of the above situation, in order to overcome the defects of the prior art, the present invention provides a visual analysis tool for information retrieval behavior, which effectively solves the problem that due to the diversity of retrieval behaviors, different behaviors will have different presentations during the retrieval process, resulting in only a single analysis result that is not comprehensive enough and lacks strong pertinence, and the analysis tool used cannot directly and clearly display the visual analysis.
[0004] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a visualization analysis tool for information retrieval behavior, including a display tool, an operation tool, a cloud database and a visualization system, wherein the display tool and the operation tool are connected via the cloud database to transmit and store data, and the user end logs in to the operation tool to perform retrieval behavior, and the retrieval behavior is processed by the visualization system, so that the administrator logs in to the system through the display tool or the user uses the operation tool to perform visualization analysis; The visualization system includes a search result module, a search process module, a demand expression module, a browsing process module and a result relationship module. After the search behavior is processed and analyzed by the search result module, the search process module, the demand expression module, the browsing process module and the result relationship module, the information is visualized through the technical modules corresponding to the modules; The search result module is a search result visualization module that displays the relationship between the search terms and the search results and the relationship between the search results, thereby effectively presenting the results to the user in a clear and intuitive manner, so that the user can understand the distribution of the retrieved information at a glance. The retrieval process module is to visualize the retrieval process, showing the process of information acquisition, allowing users to fully integrate into the retrieval system, thereby helping users to grasp the process of information acquisition in an image and concise manner; The demand expression module is a user demand expression visualization module that displays the search demand input by the user to help the user understand his or her search demand more clearly. The browsing process module is to visualize the user's browsing process, display the user's browsing process and record and present it, so as to help the user or the management system better understand the browsing behavior and habits of the user or the user; The result relationship module is a retrieval result relationship visualization module that displays the relationship between retrieval results and helps users better understand and use retrieval results.
[0005] Preferably, the retrieval result module includes a retrieval data collection unit, a data cleaning and conversion unit, and a chart generation unit. The retrieval data collection unit obtains retrieval result data from the retrieval behavior, the data cleaning and conversion unit cleans and converts the retrieval result data to make it suitable for visual display, and the chart generation unit selects a suitable visualization chart type based on the cleaned and converted data according to the characteristics and display requirements of the retrieval result data, and generates a corresponding visualization chart.
[0006] Preferably, the retrieval process module includes a retrieval step determination unit, a process drawing unit and a real-time update unit. The retrieval step determination unit lists the entire process of information retrieval in detail, and the user confirms the steps to filter the retrieval steps. The process drawing unit uses a flowchart tool to design a flowchart of the entire retrieval process based on the filtered steps of the retrieval process. The real-time update unit integrates the designed flowchart or timeline into the retrieval system so that it can update and display the retrieval process in real time.
[0007] Preferably, the demand expression module includes a demand interface unit and a user input collection unit. The demand interface unit designs a visual interface according to user needs, so that users can express their needs in a graphical manner. The user input collection unit collects user input through a retrieval system, and processes and visualizes it.
[0008] Preferably, the browsing process module includes a browsing data collection unit, which selects a suitable statistical tool and integrates it into the retrieval system, collects user browsing data through the statistical tool, and uses a heat map or a click map to perform a visual display based on the collected user browsing data.
[0009] Preferably, the result relationship module includes a relationship data summary unit and a result comparison unit. The relationship data summary unit obtains the relationship data between the retrieval results from the retrieval system, and selects a suitable visualization chart type, such as a network diagram or a tree diagram, according to the characteristics of the relationship data and the display requirements. The result comparison unit compares the data, and then screens and classifies it, and finally completes the summary, uses a special data visualization library, draws a relationship diagram based on the relationship data, and performs a visual display.
[0010] Technical effects and advantages of the present invention: 1. Improve the speed of information acquisition: Through the processing of the visualization system, users or managers can quickly understand the data distribution and relationship, so as to obtain the required information faster; 2. Enhanced interactive experience: Users can interact with the visualization results, improving their sense of participation and satisfaction; 3. Discover patterns and trends in data: By observing the distribution and association of data, users can discover some rules and patterns, and then improve or change them. The management system can improve the user's search experience; 4. Improve information understanding: Visualized search results can present search behavior in a more intuitive way, helping users or management systems better understand the information content of search behavior; 5. Improve information relevance: By visually displaying the relationship between information, users can more easily discover the relationship and differences between information; Combining the above advantages, this visualization analysis tool for information retrieval behavior adopts a variety of modular analysis of retrieval behavior to meet the different needs of users or management systems, and the analysis process or results of retrieval behavior are more comprehensive. It can also conduct targeted analysis and processing according to needs, and display them to provide visualization analysis for users or management systems. BRIEF DESCRIPTION OF THE DRAWINGS
[0011] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 Schematic diagram of the system architecture of the present invention. DETAILED DESCRIPTION
[0012] The present invention provides Figure 1The visual analysis tool for information retrieval behavior shown includes a display tool, an operation tool, a cloud database and a visualization system. The display tool and the operation tool are connected through the cloud database to transmit and store data. The user end logs in to the operation tool to perform retrieval behavior. The retrieval behavior is processed by the visualization system, so that the administrator logs in to the system through the display tool or the user uses the operation tool to perform visual analysis; The visualization system includes a search result module, a search process module, a demand expression module, a browsing process module and a result relationship module. After the search behavior is processed and analyzed by the search result module, the search process module, the demand expression module, the browsing process module and the result relationship module, the information is visualized through the corresponding technical modules of the modules; The search result module is the search result visualization, showing the relationship between the search terms and the search results, as well as the relationship between the search results themselves; The retrieval process module visualizes the retrieval process, showing the process of information acquisition and allowing users to fully integrate into the retrieval system; The demand expression module visualizes the user demand expression and displays the search requirements input by the user; The browsing process module visualizes the user's browsing process, displays, records and presents the user's browsing process; The result relationship module is the visualization of the search result relationship, which shows the relationship between the search results.
[0013] At the same time, the retrieval result module includes a retrieval data collection unit, a data cleaning and conversion unit, and a chart generation unit. The retrieval data collection unit obtains retrieval result data from the retrieval behavior, including keywords, document titles, abstracts, content and other information. The data cleaning and conversion unit cleans and converts the retrieval result data to make it suitable for visual display. The cleaning and conversion process is to convert text data into numerical data, compare the same attributes of multiple documents, etc. The chart generation unit selects appropriate visualization chart types, such as bar charts, bar charts, pie charts or network diagrams, based on the characteristics and display requirements of the retrieval result data and the cleaned and converted data, and generates corresponding visualization charts. For example, a bar chart can be used to display the number of retrieval results for different topics, and a network diagram can be used to display the relationship between keywords. Data visualization library support is required, such as D3.js, Matplotlib, etc.
[0014] In addition, the retrieval process module includes a retrieval step determination unit, a process drawing unit and a real-time update unit. The retrieval step determination unit lists the entire process of information retrieval in detail, and the user confirms the steps, and then screens the retrieval steps to ensure the accuracy of the retrieval, including keyword analysis, index construction, matching calculation, etc. The process drawing unit uses a flowchart tool to design a flowchart of the entire retrieval process according to the steps after the retrieval process is screened, or uses a timeline tool to display the timeline of the retrieval process. The real-time update unit integrates the designed flowchart or timeline into the retrieval system so that it can update and display the retrieval process in real time.
[0015] It should be added that flowcharts can use specialized flowchart tools, such as Visio; timelines can use specialized libraries, such as pytimechart.
[0016] In addition, the demand expression module includes a demand interface unit and a user input collection unit. The demand interface unit designs a visual interface according to the user's needs, so that the user can express his or her needs in a graphical way, use a selector to select the demand field or direction, use a slider to select a time range, use a color selector to select a theme, etc. The user input collection unit collects the user's input through a retrieval system, and processes and visualizes it, for example, visually displaying the user's selected demand field or direction, the user's selected time range or color theme on the interface.
[0017] In addition, the browsing process module includes a browsing data collection unit. The browsing data collection unit selects a suitable statistical tool, such as Google Analytics, and integrates it into the retrieval system. The statistical tool collects the user's browsing data, including visited pages, dwell time, click behavior, etc. Based on the collected user browsing data, a heat map or click map is used for visual display. For example, a heat map is used to display the user's dwell time on different pages, and a click map is used to display the user's click behavior.
[0018] It should also be noted that the result relationship module includes a relationship data aggregation unit and a result comparison unit. The relationship data aggregation unit obtains the relationship data between the search results from the retrieval system, including keyword co-occurrence, document association, etc., and selects the appropriate visualization chart type, such as a network diagram or a tree diagram, according to the characteristics of the relationship data and display requirements. For example, using a network diagram to display the association between keywords requires the support of a specialized data visualization library, such as NetworkX, Gephi, etc.
[0019] The result comparison unit compares the data, then screens and classifies them, and finally completes the summary. It uses a special data visualization library to draw a relationship diagram based on the relationship data and perform a visual display.
[0020] When this analysis tool is used for information retrieval, according to the user, when the user logs in to the operation tool to perform the retrieval behavior, the retrieval behavior is processed by the visualization system and displayed according to the visualization module corresponding to the needs. The cloud database transmits and stores the results, so that the administrator who logs in to the system through the display tool or the user through the operation tool can perform visual analysis.
[0021] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.
[0022] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. A visual analysis tool for information retrieval behavior, characterized by: It includes display tools, operation tools, cloud database and visualization system. The display tools and operation tools are connected through the cloud database to transmit and store data. The user end logs in to the operation tool to perform retrieval behavior. The retrieval behavior is processed by the visualization system, so that the administrator logs in to the system through the display tool or the user uses the operation tool to perform visualization analysis; The visualization system includes a search result module, a search process module, a demand expression module, a browsing process module and a result relationship module. After the search behavior is processed and analyzed by the search result module, the search process module, the demand expression module, the browsing process module and the result relationship module, the information is visualized through the technical modules corresponding to the modules; The search result module is a search result visualization module that displays the relationship between the search terms and the search results and the relationship between the search results themselves; The retrieval process module is to visualize the retrieval process, showing the process of information acquisition, so that users can fully integrate into the retrieval system; The demand expression module is a user demand expression visualization module that displays the search demand input by the user; The browsing process module is to visualize the user's browsing process, display the user's browsing process and record and present it; The result relationship module is a retrieval result relationship visualization module that displays the relationship between the retrieval results.
2. The information retrieval behavior visualization analysis tool according to claim 1, characterized in that: The retrieval result module includes a retrieval data collection unit, a data cleaning and conversion unit, and a chart generation unit. The retrieval data collection unit obtains retrieval result data from the retrieval behavior, the data cleaning and conversion unit cleans and converts the retrieval result data to make it suitable for visual display, and the chart generation unit selects a suitable visualization chart type based on the cleaned and converted data according to the characteristics and display requirements of the retrieval result data, and generates a corresponding visualization chart.
3. The information retrieval behavior visualization analysis tool according to claim 1, characterized in that: The retrieval process module includes a retrieval step determination unit, a process drawing unit and a real-time update unit. The retrieval step determination unit lists the entire process of information retrieval in detail, and the user confirms the steps and then filters the retrieval steps. The process drawing unit uses a flowchart tool to design a flowchart of the entire retrieval process based on the filtered steps of the retrieval process. The real-time update unit integrates the designed flowchart or timeline into the retrieval system so that it can update and display the retrieval process in real time.
4. The information retrieval behavior visualization analysis tool according to claim 1, characterized in that: The demand expression module includes a demand interface unit and a user input collection unit. The demand interface unit designs a visual interface according to user needs, so that users can express their needs in a graphical way. The user input collection unit collects user input through a retrieval system, and processes and visualizes it.
5. The information retrieval behavior visualization analysis tool according to claim 1, characterized in that: The browsing process module includes a browsing data collection unit, which selects a suitable statistical tool and integrates it into the retrieval system, collects user browsing data through the statistical tool, and uses a heat map or a click map to perform a visual display based on the collected user browsing data.
6. The information retrieval behavior visualization analysis tool according to claim 1, characterized in that: The result relationship module includes a relationship data summary unit and a result comparison unit. The relationship data summary unit obtains the relationship data between the search results from the search system, and selects a suitable visualization chart type, such as a network diagram or a tree diagram, according to the characteristics of the relationship data and display requirements. The result comparison unit compares the data, and then screens and classifies it, and finally completes the summary.