Conference room reservation method for insurance industry

Abstract

The invention relates to a conference room reservation method for the insurance industry. The method comprises the following steps: collecting conference information; performing semantic analysis on the conference information to obtain an analysis result; according to the analysis result, matching based on preset employee information and conference room information to obtain an optimal conference room; and sharing the optimal conference room and the conference information to participants. According to the invention, through conference information collection, semantic analysis and intelligent matching processes, the most suitable conference room can be quickly found according to the specific demand of the conference, and the efficiency and accuracy of conference room reservation are significantly improved.

Description

Technical Field

[0001] The invention belongs to the field of information technology, and in particular relates to a conference room reservation method for the insurance industry. Background Art

[0002] In the insurance industry, as the business scale continues to expand and the team structure becomes increasingly complex, the demand for conference rooms has also increased. Traditional conference room reservation methods often rely on manual coordination or simple online reservation systems, which often have problems such as inefficiency and unreasonable resource allocation when faced with a large number of diverse meeting needs. For example, employees may need to spend a lot of time searching and comparing the availability, facilities, etc. of different conference rooms to determine the conference room that best suits their meeting needs. At the same time, due to the lack of in-depth understanding of the content of the meeting and the needs of the participants, the reservation system may not be able to accurately match the most suitable conference room, resulting in waste of resources or poor meeting results.

[0003] In addition, meetings in the insurance industry often involve employees from multiple departments, positions and functions, and the content of the meetings may also cover a variety of aspects, from sales training, claims discussion to product strategy formulation, etc. Therefore, the meeting room not only needs to meet basic space and time requirements, but also needs to be flexibly configured according to the theme of the meeting, the composition of the participants and specific needs. Summary of the invention

[0004] In view of the above shortcomings of the prior art, the purpose of the invention is to provide a conference room reservation method for the insurance industry.

[0005] The present invention provides a conference room reservation method for the insurance industry, comprising:

[0006] S1: Collect meeting information;

[0007] S2: Performing semantic analysis on the conference information to obtain analysis results;

[0008] S3: According to the analysis result, matching is performed based on preset employee information and conference room information to obtain the optimal conference room;

[0009] S4: Share the optimal conference room with the conference participants in combination with the conference information.

[0010] According to a conference room reservation method for the insurance industry provided by the present invention, the conference information in step S1 includes: conference subject and conference time.

[0011] According to a conference room reservation method for the insurance industry provided by the present invention, the semantic analysis of the conference information in step S2 is implemented by NLP.

[0012] According to a conference room reservation method for the insurance industry provided by the present invention, step S2 further comprises:

[0013] S21: preprocessing the conference information to obtain a plurality of vocabulary units;

[0014] S22: Combined with the domain dictionary, keywords are extracted from vocabulary units;

[0015] S23: Classifying the to-be-executed meetings corresponding to the meeting information according to the keywords, obtaining subject classifications with the keywords, and outputting the subject classifications as analysis results.

[0016] According to a conference room reservation method for the insurance industry provided by the present invention, step S21 further comprises:

[0017] S211: splitting the conference information into words to obtain independent words;

[0018] S212: Filter and remove useless words from the independent words to obtain filtered words;

[0019] S213: Perform part-of-speech tagging on the filtered words respectively to obtain vocabulary units with vocabulary attributes.

[0020] According to a conference room reservation method for the insurance industry provided by the present invention, step S3 further comprises:

[0021] S31: Collect employee information and meeting room information;

[0022] S32: Collect historical meeting records;

[0023] S33: Matching the analysis result with the employee information to obtain the meeting participants;

[0024] S34: Matching the conference room information with the number of participants corresponding to the participants and the equipment requirements corresponding to the analysis results to obtain an optimal conference room.

[0025] According to a conference room reservation method for the insurance industry provided by the present invention, the employee information in step S31 includes: employee position, employee function, and employee department.

[0026] The present invention provides a conference room reservation method for the insurance industry. Through automated conference information collection, semantic analysis and intelligent matching processes, the most suitable conference room can be quickly found according to the specific needs of the meeting, thus avoiding the process of manual query and comparison, and significantly improving the efficiency and accuracy of conference room reservation. Based on comprehensive consideration of employee information and conference room information, the present invention can ensure that conference room resources are optimally utilized. It can not only match the size and facilities of the conference room to meet the actual needs of the meeting, but also take into account factors such as the department and position of the participants, promote internal communication and collaboration, and improve overall work efficiency. By automatically sharing the information of the optimal conference room with the participants in combination with the meeting details The present invention simplifies the meeting preparation process, allowing participants to understand the meeting location and other relevant information in advance, so as to facilitate their preparation for the meeting and improve the quality and efficiency of the meeting; the present invention also combines domain dictionaries for semantic analysis to more accurately understand the terms and concepts unique to the insurance industry, thereby more accurately matching the needs of conference rooms and participants, and is particularly suitable for the insurance industry environment that requires frequent cross-departmental and cross-functional communication; in addition, the present invention can provide more accurate predictions and suggestions for future conference room reservations by collecting and analyzing historical meeting records, helping companies to achieve more scientific and efficient conference room management, and also helping to discover and improve potential problems in the meeting organization process. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The accompanying drawings are only used to illustrate specific embodiments and are not considered to limit the present invention. In the entire drawings, the same reference symbols represent the same components. Obviously, the drawings described below are only some embodiments recorded in the embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings.

[0028] Figure 1 A schematic diagram of a flow chart of a conference room reservation method for the insurance industry provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0029] In order to enable those skilled in the art to better understand the technical solutions in the embodiments of the present invention, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. It should be understood that these descriptions are only exemplary and are not intended to limit the scope of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in the field without making creative work should fall within the scope of protection of the present invention.

[0030] Furthermore, in the following description, descriptions of well-known structures and technologies are omitted to avoid unnecessarily obscuring the concepts disclosed in the present invention.

[0031] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the orientation or position relationship indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inside", "outside", etc. is based on the orientation or position relationship shown in the drawings, which is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present invention. In addition, the terms "first", "second", and "third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. The terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be a connection between the two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0032] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Instead, they are merely examples of methods and systems consistent with some aspects of the present invention as detailed in the appended claims.

[0033] The embodiments of the present invention are described below with reference to the accompanying drawings.

[0034] like Figure 1 As shown, the present invention provides a conference room reservation method for the insurance industry, comprising:

[0035] S1: Collect meeting information.

[0036] The meeting information in step S1 includes: meeting subject and meeting time.

[0037] Step S1 is the basis of the conference room reservation process of the present invention. The key lies in obtaining and organizing key information related to the upcoming meeting, which is crucial for the subsequent selection of a suitable conference room, arranging the meeting schedule and ensuring the smooth progress of the meeting.

[0038] The meeting theme therein is the core content or focus of discussion of the meeting. In the insurance industry, the meeting theme may cover multiple aspects such as new product launches, sales strategy adjustments, customer service optimization, risk management, etc. Defining the meeting theme helps determine the formality of the meeting, the levels and numbers of participants, and the facilities (such as projectors, whiteboards, audio equipment, etc.) that the meeting may require. And the meeting time therein is a key factor in determining the availability of the meeting room. It includes the start time and the expected duration of the meeting. When collecting meeting time information, it is necessary to consider the schedules of the participants, the reservation status of the meeting room, and possible conflicts (such as other pre-booked meetings).

[0039] S2: Perform semantic analysis on the said meeting information to obtain the analysis result.

[0040] Among them, the semantic analysis of the said meeting information in step S2 is implemented through NLP.

[0041] In step S2, natural language processing (NLP) technology is used to deeply analyze the meeting information. NLP can understand and interpret human language, thereby extracting key elements and potential meanings in the information. By performing semantic analysis on the meeting information, the system can more accurately understand the theme, purpose of the meeting, and the potential needs of the participants, providing strong support for subsequent selection of the optimal meeting room.

[0042] Among them, step S2 further includes:

[0043] S21: Preprocess the said meeting information to obtain multiple lexical units.

[0044] Among them, step S21 further includes:

[0045] S211: Split the said meeting information into words to obtain independent words.

[0046] In step S211, the system will split the meeting information at the word level, that is, decompose sentences or paragraphs into individual words for subsequent processing. Word splitting is one of the basic tasks in NLP, which helps the system identify and understand each component in the text.

[0047] S212: Screen out and remove useless words from the said independent words to obtain filtered words.

[0048] After word splitting, the system needs to screen out words that are useful for subsequent analysis. Useless words usually include stop words such as "de" (的), "le" (了), punctuation marks, numbers, etc. These words are not very helpful for understanding the core meaning of the meeting information. By removing these useless words, the system can focus more on analyzing the words that have an important impact on the selection of the meeting room.

[0049] S213: Perform part-of-speech tagging on the filtered words respectively to obtain vocabulary units with vocabulary attributes.

[0050] Part-of-speech tagging is another basic task in NLP, which is to assign a part of speech to each word, such as noun, verb, adjective, etc., which helps the system better understand the function and role of words in sentences, so as to more accurately analyze the semantic structure of meeting information. Through part-of-speech tagging, the system can identify key nouns (such as meeting topics, participants, etc.), verbs (such as discussion, decision-making, etc.) and adjectives (such as important, urgent, etc.) in meeting information. These words are crucial for the subsequent selection of the best meeting room.

[0051] S22: Combined with the domain dictionary, keywords are extracted from vocabulary units.

[0052] In step S22, the present invention uses a database containing commonly used words and terms in a specific field, that is, a data dictionary. In the conference room reservation scenario of the insurance industry, the field dictionary may contain professional words and phrases related to insurance products, sales strategies, customer service, risk management, etc. By combining the field dictionary, the system can more accurately extract keywords closely related to the theme and purpose of the meeting from the preprocessed vocabulary units. The extracted keywords are usually the core words in the meeting information, which can reflect the core content and potential needs of the meeting. The specific extraction process usually evaluates the importance of the vocabulary based on multiple factors such as the frequency of occurrence of the vocabulary, contextual information, part-of-speech tagging results, and finally determines which words can be used as keywords.

[0053] S23: Classifying the to-be-executed meetings corresponding to the meeting information according to the keywords, obtaining subject classifications with the keywords, and outputting the subject classifications as analysis results.

[0054] After extracting the keywords, the system will classify the meeting information according to these keywords. The purpose of classification is to group meetings with similar themes and purposes into one category, so as to select meeting rooms and arrange meeting schedules more efficiently in the future. Specifically, in this stage, the machine learning algorithm evaluates the similarity or matching degree between each meeting information and different subject classifications, and makes decisions by considering multiple factors such as keyword weights, contextual information, and the overall semantic structure of the meeting information.

[0055] Finally, one or more topic classifications are assigned to each meeting information and these classifications are output as analysis results. The obtained topic classifications not only help the system understand the theme and purpose of the meeting more accurately, but also provide strong support for the subsequent selection of the best conference room. In a specific embodiment, if the meeting information is classified as "new product launch", the system may be more inclined to select conference rooms equipped with advanced projection equipment and sound systems.

[0056] S3: According to the analysis result, matching is performed based on preset employee information and conference room information to obtain the optimal conference room.

[0057] Wherein, step S3 further comprises:

[0058] S31: Collect employee information and meeting room information.

[0059] The employee information in step S31 includes: employee position, employee function, and the department to which the employee belongs.

[0060] Step S31 aims to collect employee information and conference room information. Specifically, employee information is information related to the participants, including their positions, functions and departments. The extracted information helps the system understand the level, professional background and possible meeting needs of the participants. The conference room information collects relevant information about the conference room, such as capacity, equipped equipment (such as projectors, whiteboards, speakers, etc.), location, etc. The extracted information is the key factor to be considered when selecting a conference room.

[0061] S32: Collect historical meeting records.

[0062] What is collected in step S32 are records of past meetings, including information such as the meeting type, participants, and conference room used. These historical records help the system understand the preferences of different meeting types and participants, thereby more accurately predicting the needs of the current meeting.

[0063] S33: Match the analysis result with the employee information to obtain the meeting participants.

[0064] Step S33 specifically includes keyword and function matching, that is, matching the keywords of the meeting topic with the functions of the employees to screen out employees related to the meeting topic; historical data reference, that is, referring to historical meeting records to analyze which employees usually participate in meetings with similar topics; department collaboration relationship, that is, considering the collaboration relationship between departments to ensure that employees of relevant departments are invited to participate.

[0065] S34: Matching the conference room information with the number of participants corresponding to the participants and the equipment requirements corresponding to the analysis results to obtain an optimal conference room.

[0066] Step S34 specifically includes: conference room resource query, i.e. querying the currently available conference room resources, including the location, capacity, equipment configuration, etc. of the conference room; time conflict check, i.e. checking the availability of each conference room during the meeting time period; equipment requirement matching, i.e. screening out conference rooms that meet the equipment requirements of the meeting (such as projectors, audio equipment, etc.); capacity matching, i.e. screening out conference rooms with appropriate capacity based on the number of participants; priority sorting, i.e. prioritizing conference rooms that meet the conditions based on factors such as the importance and urgency of the meeting.

[0067] S4: Share the optimal conference room with the conference participants in combination with the conference information.

[0068] In step S4, after obtaining the optimal conference room, all information needs to be notified and sent. The specific content of the notification message includes: Meeting topic: briefly summarize the main discussion content or purpose of the meeting to help participants understand the background of the meeting in advance; Meeting time: clarify the start and end time of the meeting, including time zone information (if applicable), so that participants can arrange their schedules; Meeting location: provide detailed information about the optimal conference room, including the name of the conference room, floor, specific location and possible transportation instructions; Participants: list all people invited to the meeting, including their names, departments and possible contact information (such as email or phone); Meeting agenda: provide a detailed agenda for the meeting, including the order of each discussion link, time allocation and possible Person in charge of the meeting; Meeting preparation matters: remind participants of the materials, documents or equipment they need to prepare, such as PPT, notebooks, pens, etc.; Conference equipment: inform the available equipment in the conference room and how to use it, such as projectors, sound systems, video conferencing software, etc.; Meeting link or joining method (if it is an online meeting): provide necessary information such as meeting link, meeting ID, password, etc., so that participants can successfully join the online meeting; Notes: remind participants to pay attention to meeting discipline, confidentiality requirements, dress code, etc.; Contact information: provide the contact information of the meeting organizer so that participants can contact relevant personnel if they have any questions or need help before and after the meeting.

[0069] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the embodiments of the present invention, rather than to limit them. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the above embodiments, or replace some of the technical features therein by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention. Any changes or replacements that can be easily thought of by those skilled in the art within the technical scope disclosed in the present invention should be covered within the protection scope of the present invention.

Claims

1. A conference room reservation method for the insurance industry, characterized in that: include: S1: Collect meeting information; S2: Performing semantic analysis on the conference information to obtain analysis results; S3: According to the analysis result, matching is performed based on preset employee information and conference room information to obtain the optimal conference room; S4: Share the optimal conference room with the conference participants in combination with the conference information.

2. A conference room reservation method for the insurance industry according to claim 1, characterized in that: The meeting information in step S1 includes: meeting subject and meeting time.

3. A conference room reservation method for the insurance industry according to claim 1, characterized in that: The semantic analysis of the conference information in step S2 is implemented through NLP.

4. A conference room reservation method for the insurance industry according to claim 1, characterized in that: Step S2 further comprises: S21: preprocessing the conference information to obtain a plurality of vocabulary units; S22: extract keywords from vocabulary units in combination with the domain dictionary; S23: Classifying the to-be-executed meetings corresponding to the meeting information according to the keywords, obtaining subject classifications with the keywords, and outputting the subject classifications as analysis results.

5. A conference room reservation method for the insurance industry according to claim 4, characterized in that: Step S21 further includes: S211: splitting the conference information into words to obtain independent words; S212: Filter and remove useless words from the independent words to obtain filtered words; S213: Perform part-of-speech tagging on the filtered words respectively to obtain vocabulary units with vocabulary attributes.

6. A conference room reservation method for the insurance industry according to claim 1, characterized in that: Step S3 further comprises: S31: Collect employee information and meeting room information; S32: Collect historical meeting records; S33: Matching the analysis result with the employee information to obtain the meeting participants; S34: Matching the conference room information with the number of participants corresponding to the participants and the equipment requirements corresponding to the analysis results to obtain an optimal conference room.

7. A conference room reservation method for the insurance industry according to claim 6, characterized in that: The employee information in step S31 includes: employee position, employee function, and employee department.

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