Electronic map marking method, travel and travel recommendation method and vehicle terminal

Abstract

The invention belongs to the technical field of intelligent recommendation of vehicles, and particularly relates to an electronic map marking method, a travel and travel recommendation method and a vehicle terminal. The electronic map marking method comprises the following steps: identifying a historical record of a user to obtain an interested target, and marking the target as an interest point on an electronic map; querying all evaluations related to the interest points; rating the interest points according to all the evaluations related to the interest points, and marking the corresponding priorities on an electronic map as labels; and identifying the classification attribute according to the tag carried by the interest point and the good reputation in all the related reputations, and marking the corresponding classification attribute on the electronic map as a new tag. The target interested by the user is added to the electronic map, and the target interested by the user is graded and classified according to the real evaluation of the target interested by the user. Based on the marked electronic map, a more accurate recommendation service is provided for the user when the user is out of home, and a travel strategy better fitting the style of the user is formulated.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent recommendation for vehicles, and particularly relates to an electronic map marking method, a travel and tourism recommendation method, and a vehicle-mounted terminal. Background Art

[0002] Travel is a comprehensive activity. People need to consider a series of activities such as eating, accommodation, entertainment, refueling, and charging before traveling. In order to reasonably plan the route and minimize the ineffective waiting time, people generally use various life service apps to query information of different merchants before traveling, and at the same time, formulate a travel plan by comprehensively considering information such as the distance between merchants, traffic route information, merchant evaluations, and per capita consumption. However, whether using intelligent devices such as mobile phones and computers or using vehicle-mounted apps, it is very inconvenient to switch back and forth between various apps.

[0003] At the same time, people generally make travel strategies before traveling. Many of the strategies recommended by various apps are of an advertising nature, and the recommended foods in the review information are not the authentic foods of local people. The stereotyped strategies often cannot meet the needs of users. Users need to screen the effective information from a large amount of review information and repeatedly consider and compare, and the process is very complicated and cumbersome, thus seriously affecting the travel experience and tourism feeling of users. Summary of the Invention

[0004] In view of the above-mentioned disadvantages of the prior art, the purpose of the present invention is to provide an electronic map marking method, which adds the targets of interest to the electronic map and classifies and grades them according to the real evaluations of the targets of interest. And based on the marked electronic map, more accurate recommendation services are provided for users when they are out, and a travel strategy that better suits the user's style is formulated.

[0005] To achieve the above purpose and other related purposes, the present invention provides an electronic map marking method, including: identifying the historical records of the user to obtain the targets of interest, and marking the targets as points of interest on the electronic map; querying all the evaluations related to the points of interest; grading the points of interest according to all the evaluations related to the points of interest, and marking the corresponding priorities as labels on the electronic map; identifying the classification attributes according to the labels carried by the points of interest and the positive evaluations in all the related evaluations, and marking the corresponding classification attributes as new labels on the electronic map.

[0006] According to a specific embodiment of the present invention, the steps of identifying the user's historical records to obtain the targets of interest and marking the targets as points of interest on the electronic map include: obtaining the historical records on the user's mobile terminal, and the historical records include favorited or liked video / picture-and-text data; identifying the targets in the video / picture-and-text data as the points of interest; obtaining the coordinate information of the points of interest, and searching for the corresponding positions of the points of interest on the electronic map according to the coordinate information for marking.

[0007] According to a specific embodiment of the present invention, the steps of rating the points of interest according to all the evaluations related to the points of interest and marking the corresponding priorities as labels on the electronic map include: identifying the advertisement evaluations in all the evaluations; counting the number of the advertisement evaluations and filtering the advertisement evaluations; identifying the positive evaluations and negative evaluations in the remaining evaluations according to the preset positive keywords and negative keywords; counting the number of the positive evaluations and the number of the negative evaluations; identifying the priorities corresponding to the points of interest according to the number of the advertisement evaluations, positive evaluations, and negative evaluations.

[0008] According to a specific embodiment of the present invention, the steps of identifying the priorities corresponding to the points of interest according to the number of the advertisement evaluations, positive evaluations, and negative evaluations include: when the number of the positive evaluations is greater than the number of the negative evaluations and the number of the advertisement evaluations is lower than the preset value, identifying the point of interest as a high priority; when the number of the positive evaluations is greater than the number of the negative evaluations or the number of the advertisement evaluations is lower than the preset value, identifying the point of interest as a medium priority; when the number of the positive evaluations is less than or equal to the number of the negative evaluations and the number of the advertisement evaluations is higher than or equal to the preset value, identifying the point of interest as a low priority.

[0009] According to a specific embodiment of the present invention, the steps of identifying the classification attributes of the points of interest according to the labels carried by the points of interest and the positive evaluations in all the related evaluations and marking the corresponding classification attributes as new labels on the electronic map include: identifying the information of the points of interest in the electronic map to obtain the labels carried by the points of interest, and taking the labels as the first-level attributes of the classification attributes; screening out the positive evaluations from all the evaluations based on the classification model; identifying the recommended check-in targets in all the positive evaluations and classifying the check-in targets related to the attributes into one category; calculating the proportion of each category, and taking the attributes of the category with a proportion greater than the preset proportion value as the second-level attributes of the classification attributes; wherein, the classification attributes may include one or more second-level attributes.

[0010] According to a specific embodiment of the present invention, the step of identifying the classification attributes based on the tags carried by the point of interest and all the positive reviews among the relevant reviews, and marking the corresponding classification attributes as new tags on the electronic map further includes: identifying the travel suggestions recommended in all the positive reviews, and counting the number of repeated travel suggestions; integrating the travel suggestions with the number greater than the preset number value, and marking them on the electronic map as supplementary explanations of the point of interest.

[0011] A travel recommendation method includes: obtaining the current scene information of the user, and the scene information includes time information, location information, and weather information; determining the service type recommended to the user according to the scene information, and recommending high-priority points of interest, their corresponding travel routes and estimated arrival times to the user based on the service type and the marked electronic map. Among them, the electronic map is marked by the marking method of any one of the above.

[0012] According to a specific embodiment of the present invention, it further includes: reminding the user when the distance between the user's current location and the location of the point of interest marked on the electronic map is less than the preset distance value based on the location information, and correspondingly displaying / explaining the priority, classification attributes, and supplementary explanations of the point of interest.

[0013] A travel recommendation method includes: responding to the user's travel mode and obtaining the travel style selected by the user; screening out high-priority points of interest with corresponding classification attributes from the points of interest marked on the electronic map according to the travel style as travel destinations; among them, the electronic map is marked by the marking method of any one of the above; formulating a corresponding travel route according to the location information input by the user or the user's current location and the location information of the travel destination, and prompting the user according to the supplementary explanation of the travel destination.

[0014] A vehicle-mounted terminal includes a processor, the processor is coupled with a memory, and the memory stores program instructions. When the program instructions stored in the memory are executed by the processor, the method described in any one of the above is implemented.

[0015] The present invention provides an electronic map marking method, which automatically identifies the targets of interest in the life service APP on the user's mobile terminal, and correspondingly marks them as points of interest on the vehicle's electronic map, and classifies and rates them according to the real evaluation information of the points of interest, adds supplementary explanations, gives the user correct references for the user to view and select, reduces the preparation work for the user's travel, and improves the user's travel experience.

[0016] Meanwhile, based on the marked electronic map, intelligent recommendations can be provided to users according to their real-time scene information, offering better travel services; and in response to the user's travel mode, intelligent travel strategies can be formulated for the user according to the selected travel style, thus greatly enhancing the user's travel experience, eliminating the trouble of pre-trip preparations, and enabling the user to be more focused on and enjoy the joy of travel. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 FIG. is a schematic flowchart of a specific embodiment of an electronic map marking method provided by the present invention;

[0018] Figure 2 FIG. is a schematic flowchart of a specific embodiment of a travel recommendation method provided by the present invention;

[0019] Figure 3 FIG. is a schematic flowchart of a specific embodiment of a tourism recommendation method provided by the present invention;

[0020] Figure 4 FIG. is a schematic structural diagram of a specific embodiment of a vehicle-mounted terminal provided by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0021] The following will describe the embodiments of the present invention with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand the other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are only for explaining the present invention and not for limiting the protection scope of the present invention.

[0022] It should be noted that the diagrams provided in the following embodiments only illustrate the basic concept of the present invention in a schematic manner. Therefore, only the components related to the present invention are shown in the diagrams, rather than being drawn according to the number, shape, and size of the components in actual implementation. The type, quantity, and ratio of each component in actual implementation can be arbitrarily changed, and the component layout type may also be more complex.

[0023] In the following description, a large number of details are explored to provide a more thorough explanation of the embodiments of the present invention. However, it is obvious to those skilled in the art that the embodiments of the present invention can be implemented without these specific details. In other embodiments, well-known structures and devices are shown in the form of block diagrams rather than in detail to avoid making the embodiments of the present invention difficult to understand.

[0024] First of all, it should be noted that the current vehicle's electronic map can provide users with travel navigation services, specifically including a variety of different travel modes. Usually, it returns travel navigation information to users based on the destinations actively queried by users, and fails to intelligently recommend travel destinations to users according to the current travel scenario and the user's preferred style, which greatly affects the user's travel experience and feelings.

[0025] Based on this, this embodiment provides an electronic map marking method, which adds the targets of interest on the user's mobile terminal to the electronic map by recognition, and identifies their priority and classification attributes according to the real evaluations of the targets, so as to intelligently recommend travel services according to the user's travel scenario.

[0026] Embodiment 1

[0027] Please refer to Figure 1 as shown, an electronic map marking method includes:

[0028] Step S110, recognize the user's historical records to obtain the targets of interest to the user, and mark the targets as points of interest on the electronic map.

[0029] Generally, when users browse videos on their mobile phones, they will collect or like the videos they are interested in. For example, when swiping entertainment apps such as Douyin, Kuaishou, or Xiaohongshu, big data will push some video / picture promotions of food stores, entertainment venues, or tourist attractions to users.

[0030] When users find the targets they are interested in, they will like and collect them for use as travel destinations at appropriate times in the future. However, at the same time, as the accumulated video / picture data of likes and collections increases, users still need to screen out actual travel destinations from a large number of interest targets, which greatly affects the user's mood and feelings of wanting to travel and may ultimately end up in nothing. In addition, users may forget the targets of interest in the liked and collected videos / pictures due to work or study busyness, which may cause users to miss an excellent travel destination or tourist spot.

[0031] To solve the above various situations and improve the user's travel experience. The in-vehicle terminal can automatically recognize the historical records on the user's mobile terminal to obtain the targets of interest to the user. Among them, step S100 includes:

[0032] Step S111, obtain the historical records on the user's mobile terminal, and the historical records include the collected or liked video / picture data.

[0033] Step S112, recognize the targets in the video / picture data as the points of interest.

[0034] Step S113: Obtain the coordinate information of the point of interest, and search for the corresponding position of the point of interest on the electronic map based on the coordinate information for marking.

[0035] Specifically, in practical applications, the same APP as on the user's mobile terminal can be installed on the in-vehicle terminal and associated through the same account, so that the in-vehicle terminal can obtain the data information in the APP. For example, the Douyin, Xiaohongshu, Meituan, Dianping and other APPs on the in-vehicle terminal and the user's mobile terminal can be associated through the same account. When the user gives a like / favorite during browsing and using, the in-vehicle terminal can automatically identify the corresponding data information. For example, the liked videos / pictures and texts on Douyin and Xiaohongshu, or the stores favorited on Ctrip and Meituan. At the same time, the in-vehicle terminal can also identify the data information in the corresponding historical records, such as the previously liked videos / pictures and texts, favorited stores, etc., so as to comprehensively obtain the targets of the user's interest for recommendation when the user needs it.

[0036] Furthermore, the in-vehicle terminal takes the identified targets as points of interest for marking. For example, when the user browses videos / pictures and texts on Douyin or Xiaohongshu that recommend tourism, dining, or entertainment, such as food store visits, tourist attraction recommendations, new store openings, etc., the videos / pictures and texts may contain one or more stores / attractions. If the user needs to search and query them one by one actively, the process will be very complicated and cumbersome. Therefore, the in-vehicle terminal can automatically identify all the targets in the videos / pictures and texts and take them as the user's points of interest respectively.

[0037] Or, when the user searches for targets for dining or entertainment using life service type APPs such as Meituan or Ctrip, multiple interested merchants may be favorited at the same time, but the actual final destinations may be only one or two. Correspondingly, the in-vehicle terminal can identify all the favorited stores by the user as points of interest for marking, avoiding the user having to search again next time, and then recommending them to the user at an appropriate time later.

[0038] Comprehensively collect and record the targets of the user's interest, and mark them correspondingly on the electronic map of the vehicle for the user to view and select. However, at the same time, as the number of points of interest marked on the electronic map increases, it may bring further troubles to the user's selection. To solve this problem, in this embodiment, by adding corresponding priority and classification attribute tags, as well as supplementary descriptions to the points of interest, the user can have a deeper understanding of the points of interest and facilitate their reference and selection. Among them, the classification attribute is the implicit type of the point of interest. For example, if a certain entertainment venue is suitable for the parent-child target population, then entertainment and parent-child interaction are the corresponding classification attributes of this point of interest.

[0039] Therefore, the electronic map marking method further includes:

[0040] Step S120: Query all the evaluations related to the point of interest.

[0041] Step S130: Rate the point of interest according to all the evaluations related to it, and mark the corresponding priority as a label on the electronic map.

[0042] Step S140: Identify the classification attribute of the point of interest according to the label carried by the point of interest and the positive evaluations among all the related evaluations, and mark the corresponding classification attribute as a new label on the electronic map.

[0043] It should be noted that different merchant stores or tourist attractions have gathered a large number of user comments, which correspondingly contain promotion information of merchants and influencers, causing interference to users and thus affecting users' judgment of their corresponding travel value and whether it is worth going to the target location.

[0044] Based on this, filter the advertisement evaluations from the massive evaluation information to obtain the real evaluation information, so as to more accurately identify the priority and classification attribute of the point of interest. Among them, the real evaluation information is to filter out the advertisement evaluations in the evaluation information to avoid users being interfered by the advertisement evaluations and affecting their subjective judgment.

[0045] Specifically, the steps to identify the priority of the point of interest include:

[0046] Step S131: Identify the advertisement evaluations among all the evaluations.

[0047] Step S132: Count the number of the advertisement evaluations and filter the advertisement evaluations.

[0048] Specifically, through intelligent algorithm models, such as text recognition models, etc., such as the PaddleOCR (Paddle Optical Character Recognition) model, and then conduct repeated learning on typical merchant evaluations, template evaluations, and large-scale similar evaluations to establish the ability to identify advertisement evaluations.

[0049] Count the number of advertisement evaluations in all the evaluations of the point of interest and filter the advertisement evaluations. When there are a large number of advertisement evaluations in the evaluations of a point of interest, it indicates that the merchant has hired a large number of "water army" to refresh the store data, and such a point of interest is not worthy of being a travel destination for users, but instead needs to be avoided.

[0050] Step S133: Identify the positive and negative evaluations in the remaining evaluations according to the preset positive keywords and negative keywords.

[0051] Step S134: Count the number of the positive evaluations and the number of the negative evaluations.

[0052] After filtering the advertisement evaluations, the next step is to distinguish between positive and negative evaluations among the remaining evaluations, and count the number of positive and negative evaluations accordingly to determine whether the point of interest is worth being a travel destination. Specifically, to distinguish between positive and negative evaluations, preset positive keywords and negative keywords can be used. For example, when positive keywords such as "recommend", "like", "happy", "joyful" appear in an evaluation, it indicates that other users' travel experiences are positive, and this can be considered a positive evaluation; when negative keywords such as "commercialized", "old equipment", "outdated", "unsafe" appear in an evaluation, it indicates that other users' travel experiences are negative, and this can be considered a negative evaluation. After distinguishing between positive and negative evaluations among the remaining evaluations, count the corresponding numbers to further determine the travel value of the point of interest.

[0053] It should be noted that the above keywords are for reference only. Specifically, the positive keywords and negative keywords can be adjusted according to the actual situation to identify positive and negative evaluations.

[0054] Step S135, identify the priority corresponding to the point of interest based on the number of the advertisement evaluations, positive evaluations, and negative evaluations.

[0055] Specifically, a preset value can be set. When the number of positive evaluations is greater than the number of negative evaluations, and the number of advertisement evaluations is lower than the preset value, it indicates that the point of interest is worth visiting, and a high-priority label can be given to it; when the number of positive evaluations is greater than the number of negative evaluations, or the number of advertisement evaluations is lower than the preset value, it indicates that the travel value of this point of interest is average, and a medium-priority label is given, and it can be further considered by the user whether to go; when the number of positive evaluations is less than or equal to the number of negative evaluations, and the number of advertisement evaluations is higher than or equal to the preset value, there are a large number of negative evaluations and advertisement evaluations for this point of interest, and it is not recommended that users use it as a travel destination, and a low-priority label is given to it. The points of interest with low priority can be deleted from the electronic map after a preset time limit to reduce the number of markings on the electronic map and provide better recommendations to users.

[0056] In addition, the classification attributes of the points of interest are equally important and can be used for users to select their favorite travel destinations. Therefore, the steps to identify the classification attributes of the points of interest include:

[0057] Step S141, identify the information of the point of interest in the electronic map to obtain the label it carries, and use the label as the first-level attribute of the classification attribute.

[0058] Generally, ordinary merchant stores or tourist attractions will carry corresponding labels. For example, KFC and McDonald's will carry labels similar to fast food; or bars and KTVs will carry labels similar to entertainment venues; or tourist attractions such as Huangshan Mountain and Taishan Mountain will carry labels similar to mountain climbing, and so on.

[0059] However, the tags carried by the points of interest themselves cannot accurately reflect their own types, thus affecting the user's judgment of travel. For example, KFC and McDonald's are suitable for parents to take children to, or there are many delicious foods at a certain tourist attraction, or a certain tourist attraction is suitable for taking pictures. These cannot be correctly reflected by the tags carried by the points of interest themselves.

[0060] Therefore, in this embodiment, the tags carried by the points of interest themselves are used as their primary attributes, and the secondary attributes of the points of interest are further determined through the check-in locations recommended by other users in the positive reviews, so as to comprehensively identify the classification attributes of the points of interest, enabling users to correctly select points of interest as travel destinations according to their current needs and preferences, facilitating users' travel while also enhancing their travel experience.

[0061] Step S142: Based on the classification model, screen out the positive reviews from all the evaluations.

[0062] Specifically, in practical applications, the screened positive reviews can be extracted during the process of identifying the priority of the points of interest to reduce the repetitive task processing of the controller and avoid resource waste; or screening can be performed based on the classification model, such as decision tree model, neural network model, etc.

[0063] Step S143: Identify the check-in targets recommended in all the positive reviews and classify the check-in targets related to the attributes into one category.

[0064] Step S144: Calculate the proportion of each category and use the attribute of the category with a proportion greater than the preset proportion value as the secondary attribute of the classification attribute; wherein, the classification attribute may include one or more secondary attributes.

[0065] Among them, the primary attribute is defined by the tags carried by the points of interest themselves, and the secondary attribute is defined by identifying the relevant information in the positive reviews.

[0066] It should be noted here that the check-in targets recommended by other users in the positive reviews are diverse, such as this delicacy must be eaten, that collectible must be bought, or the sunrise on the top of the mountain, the beach at night is suitable for taking pictures, etc. The attribute related to eating can be divided into one category, the attribute related to taking pictures can be divided into another category, the attribute related to entertainment can be divided into another category, and so on. At the same time, repeated check-in targets are only counted as one, and the secondary attributes of the point of interest are identified by counting the proportion of the number of each category in the number of all check-in targets. For example, if the proportion of a category related to the attribute of eating exceeds 30%, then food can be used as the secondary attribute of the point of interest and labeled accordingly. In addition, a point of interest may be suitable for parent-child entertainment, suitable for taking pictures, etc., so different labels can be added for users to better understand. The specific embodiments provided above are for reference only, including but not limited to the above. Those skilled in the art, without departing from the spirit of the present invention, still fall within the scope of the invention patent application of the present invention.

[0067] In addition, you can add additional descriptions to points of interest based on travel suggestions from other users in the positive reviews and mark them on the electronic map accordingly.

[0068] Step S145 , identifying travel suggestions recommended in all positive reviews, and counting the number of repeated travel suggestions.

[0069] Step S146 , integrating the travel suggestions whose number is greater than a preset number value and marking them on the electronic map as supplementary descriptions of the points of interest.

[0070] For example, if many users recommend the same signature dish in a certain food restaurant, this travel suggestion can be used as a supplementary description of the point of interest, reminding users that they can give priority to this signature dish when visiting the place. Or, if many users recommend traveling on sunny days to a certain tourist attraction, users can dress cooler for a better experience. This suggestion can also be used as a supplementary description of the point of interest to remind users. Similarly, a point of interest can be supplemented by multiple different travel suggestions, so that users can further understand the point of interest and enhance their travel experience. The specific embodiments provided above are for reference only, including but not limited to those described above. Without departing from the spirit of the invention, modifications and embellishments made to the embodiments of the invention by those skilled in the art still fall within the scope of the invention patent application of the present invention.

[0071] In summary, the in-vehicle terminal automatically identifies the targets of interest in the APP on the user's mobile terminal, marks them as points of interest on the vehicle's electronic map, and adds corresponding priority and classification attribute tags, as well as further supplementary descriptions, based on the real evaluations related to the points of interest, thereby reducing the preparation work before the user travels and enabling intelligent recommendations according to the user's needs and preferences, greatly enhancing the user's travel experience.

[0072] It should be noted that the step division of the above various methods is only for clear description. When implemented, they can be combined into one step or some steps can be split into multiple steps. As long as the same logical relationship is included, they are all within the protection scope of this patent; adding insignificant modifications to the algorithm or process or introducing insignificant designs, but without changing the core design of the algorithm and process, are all within the protection scope of this patent.

[0073] Based on the above-marked electronic map, the in-vehicle terminal can intelligently recommend travel services to the user or formulate a travel strategy for the user.

[0074] Embodiment 2

[0075] Please refer to Figure 2 As shown, the embodiment of the present application further provides a travel recommendation method, including:

[0076] Step S210, obtaining the user's current scene information, and the scene information includes time information, location information, and weather information.

[0077] Step S220, determining the service type to be recommended to the user according to the scene information, and recommending high-priority points of interest, and their corresponding travel routes and estimated arrival times to the user based on the service type and the marked electronic map.

[0078] Specifically, in actual application, after the in-vehicle terminal marks the targets of interest to the user on the vehicle's electronic map, corresponding points of interest can be recommended to the user as travel targets according to the user's real-time scene information, providing intelligent services. Among them, the service type is the functional role of a merchant store.

[0079] For example, when the user is driving a vehicle outside, when the time is approaching 11 o'clock or 12 o'clock at noon, or 6 o'clock in the evening, a merchant store of the dining service type can be recommended to the user, that is, screening out merchant stores with the food classification attribute from the points of interest marked on the electronic map. Further, high-priority points of interest around are selected according to the user's current location, and the travel routes and estimated arrival times to each point of interest are correspondingly formulated for the user to refer to and select. Among them, the travel routes and estimated arrival times to the points of interest can consider the congestion situation of the current road to give the user correct reference.

[0080] Alternatively, when the user travels on Saturday or Sunday, some places of entertainment service types such as amusement parks and science and technology museums can be recommended to the user, and then filtered from the points of interest marked on the electronic map.

[0081] It should be noted that when there are no high-priority points of interest with corresponding classification attributes around the user, the priority can be appropriately reduced to recommend to the user, and specific adjustments can be made according to the actual scenario requirements, including but not limited to the above. The in-vehicle terminal mainly recommends travel destinations intelligently for the user through the points of interest marked on the electronic map and according to the user's real-time scenario information, and the final choice is determined by the user.

[0082] In addition, taking weather information as a screening condition can further enhance the user experience. For example, open-air places can be recommended on sunny days, and indoor places can be recommended correspondingly on rainy or snowy days to achieve intelligent services of the in-vehicle terminal and give the user a better travel experience.

[0083] Furthermore, since there may be a relatively large number of points of interest marked on the electronic map and the user's time is relatively tight and it is impossible to visit them one by one. Therefore, when the user is driving a vehicle outside and passes by the points of interest marked on the electronic map or is located in the surrounding area of the point of interest, the in-vehicle terminal can timely remind the user that they have arrived near the area of the point of interest, and correspondingly display the priority, classification attribute, and supplementary description corresponding to the point of interest, so that the user can fully understand the point of interest in advance and make a correct judgment on whether to go, greatly saving the user's time. For example, if the priority of the point of interest is relatively low and the suggestions in the supplementary description are not suitable for the user's current situation, it can allow the user to make a correct decision in advance. Or, if the priority of the point of interest is relatively high and the classification attribute corresponds to the user's current scenario information, such as the food classification attribute corresponding to the meal time period, the user can decide whether to go according to their own conditions.

[0084] In summary, the in-vehicle terminal provides intelligent travel services to the user according to the marked electronic map and the user's real-time scenario information, greatly saving the user's time resources, eliminating the need to spend a lot of time preparing in advance, and enhancing the user's travel experience.

[0085] It should be noted that the step division of the above various methods is only for clear description. When implemented, they can be combined into one step or some steps can be split into multiple steps. As long as the same logical relationship is included, they are all within the protection scope of this patent; adding insignificant modifications to the algorithm or process or introducing insignificant designs, but not changing the core design of its algorithm and process are all within the protection scope of this patent.

[0086] Embodiment 3

[0087] Please refer toFigure 3 As shown in the figure, an embodiment of the present application further provides a travel recommendation method, including:

[0088] Step S310: Respond to the user's travel mode and obtain the travel style selected by the user.

[0089] Step S320: Screen out high-priority points of interest with corresponding classification attributes from the points of interest marked on the electronic map as travel destinations according to the travel style.

[0090] Step S330: Develop a corresponding travel route based on the location information input by the user or the user's current location and the location information of the travel destination, and prompt the user according to the supplementary description of the travel destination.

[0091] Specifically, in actual applications, when the user inputs to the in-vehicle terminal that they want to travel or the in-vehicle terminal recognizes that the user wants to travel, the in-vehicle terminal will further obtain the travel style selected by the user. For example, the user selects a food route, a parent-child route, a photography route, or other travel styles, etc. The in-vehicle terminal screens out points of interest with corresponding classification attributes from the electronic map according to the travel style selected by the user, and further screens out one or more high-priority points of interest as travel destinations.

[0092] Furthermore, the in-vehicle terminal develops a travel route based on the travel destination and the location input by the user / the user's current location, and screens out corresponding check-in destinations from the points of interest according to the travel style selected by the user and recommends them to the user, formulating a travel strategy for the user.

[0093] In addition, the in-vehicle terminal will also remind the user in advance according to the corresponding supplementary description of the point of interest, such as paying attention to the travel weather, carrying travel equipment, etc., greatly reducing the preparation process for the user to travel and enhancing the user's travel experience.

[0094] It should be noted that the step division of the above various methods is only for clear description. When implemented, they can be combined into one step or some steps can be split into multiple steps. As long as they contain the same logical relationship, they are within the protection scope of this patent; adding insignificant modifications to the algorithm or process or introducing insignificant designs, but not changing the core design of its algorithm and process are within the protection scope of this patent.

[0095] Embodiment 4

[0096] Please refer to Figure 4 As shown in the figure, an embodiment of the present application further provides an in-vehicle terminal, including a memory 2, a processor 1, and a program stored on the memory and executable on the processor. When the processor executes the program, it implements the steps of any one of the above methods.

[0097] Among them, the memory at least includes one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (such as SD or DX memory, etc.), magnetic memory, magnetic disk, optical disc, etc. The memory can be an internal storage unit of the electronic device in some embodiments, such as the mobile hard disk of the electronic device. The memory can also be an external storage device of the electronic device in other embodiments, such as a plug-in mobile hard disk, Smart Media Card (SMC), Secure Digital (SD) card, Flash Card, etc. equipped on the electronic device. Further, the memory can also include both the internal storage unit and the external storage device of the electronic device. The memory can be used not only to store the application software and various types of data installed in the electronic device, but also to temporarily store the data that has been output or will be output.

[0098] In some embodiments, the processor can be composed of integrated circuits. For example, it can be composed of a single packaged integrated circuit, or it can be composed of multiple integrated circuits with the same or different functions packaged, including the combination of one or more Central Processing Units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips, etc. The processor is the control core (Control Unit) of the electronic device, connecting all components of the entire electronic device through various interfaces and circuits, and by running or executing the programs or modules stored in the memory, and calling the data stored in the memory, to execute various functions of the electronic device and process data.

[0099] The processor executes the operating system of the electronic device and various installed application programs. The processor executes the application programs to implement the steps in the above method embodiments.

[0100] Exemplarily, the program can be divided into one or more modules, and the one or more modules are stored in the memory and executed by the processor to complete the present invention. The one or more modules can be a series of program instruction segments capable of completing specific functions, and this instruction segment is used to describe the execution process of the program in the electronic device.

[0101] The above integrated unit implemented in the form of software function modules can be stored in a computer-readable storage medium. The above software function modules are stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a computer device, or a network device, etc.) or a processor to execute some functions of the methods in various embodiments of the present invention.

[0102] In summary, the present invention provides a method for marking an electronic map, which automatically identifies the targets of interest in the life service APP on the user's mobile terminal, marks them as points of interest on the vehicle's electronic map accordingly, classifies and rates them according to the real evaluation information of the points of interest, adds supplementary explanations, gives correct references to the user for viewing and selection, reduces the preparation work for the user's travel, and improves the user's travel experience.

[0103] At the same time, based on the marked electronic map, intelligent recommendations can be provided to the user according to the user's real-time scenario information to provide better travel services; and in response to the user's travel mode, an intelligent travel strategy can be formulated for the user according to the selected travel style, so as to greatly improve the user's travel experience, without worrying about the preparation work before travel, and being able to focus more on enjoying the happiness of travel.

[0104] The above embodiments are only used to exemplarily illustrate the principles and effects of the present invention, rather than to limit the present invention. Any person familiar with this technology can modify or change the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or changes completed by those with ordinary knowledge in the technical field without departing from the spirit and technical idea disclosed by the present invention should still be covered by the claims of the present invention.

Claims

1. An electronic map marking method, characterized in that, Including: Identifying the user's historical records to obtain the targets of interest, and marking the said targets as points of interest on the electronic map; Querying all evaluations related to the said points of interest; Rating the said points of interest according to all evaluations related to them, and marking the corresponding priority as a label on the electronic map; Identifying the classification attributes of the said points of interest according to the labels carried by the said points of interest and the positive evaluations among all related evaluations, and marking the corresponding classification attributes as labels on the electronic map.

2. The electronic map marking method according to claim 1, characterized in that, The step of identifying the user's historical records to obtain the targets of interest, and marking the said targets as points of interest on the electronic map includes: Obtaining the historical records on the user's mobile terminal, and the said historical records include favorited or liked video / picture-and-text data; Identifying the targets in the said video / picture-and-text data as the said points of interest; Obtaining the coordinate information of the said points of interest, and searching for the corresponding positions of the said points of interest on the electronic map according to the said coordinate information for marking.

3. The electronic map marking method according to claim 1, characterized in that, The step of rating the said points of interest according to all evaluations related to them, and marking the corresponding priority as a label on the electronic map includes: Identifying the advertisement evaluations among all evaluations; Counting the number of the said advertisement evaluations, and filtering the said advertisement evaluations; Identifying the positive evaluations and negative evaluations in the remaining evaluations according to the preset positive keywords and negative keywords; Counting the number of the said positive evaluations and the number of the said negative evaluations; Identifying the corresponding priority of the said points of interest according to the number of the said advertisement evaluations, positive evaluations, and negative evaluations.

4. The electronic map marking method according to claim 3, characterized in that, The step of identifying the corresponding priority of the said points of interest according to the number of the said advertisement evaluations, positive evaluations, and negative evaluations includes: When the number of the said positive evaluations is greater than the number of the said negative evaluations, and the number of the said advertisement evaluations is lower than the preset value, identifying the said points of interest as high priority; When the number of the said positive evaluations is greater than the number of the said negative evaluations, or the number of the said advertisement evaluations is lower than the preset value, identifying the said points of interest as medium priority; When the number of the said positive evaluations is less than or equal to the number of the said negative evaluations, and the number of the said advertisement evaluations is higher than or equal to the preset value, identifying the said points of interest as low priority.

5. The electronic map marking method according to claim 1, wherein The step of identifying the classification attributes of the said points of interest according to the labels carried by the said points of interest and the positive evaluations among all related evaluations, and marking the corresponding classification attributes as labels on the electronic map includes: Identifying the information of the said points of interest in the electronic map to obtain the labels carried by them, and taking the said labels as the first-level attributes of the said classification attributes; Filtering out the positive evaluations from all evaluations based on the classification model; Identifying the recommended check-in targets in all positive evaluations, and classifying the check-in targets related to the attributes into one category; Calculating the proportion of each category, and taking the attributes of the category with a proportion greater than the preset proportion value as the second-level attributes of the said classification attributes; Wherein, the said classification attributes may include one or more second-level attributes.

6. The electronic map marking method according to claim 5, wherein The step of identifying the classification attributes of the said points of interest according to the labels carried by the said points of interest and the positive evaluations among all related evaluations, and marking the corresponding classification attributes as labels on the electronic map further includes: Identifying the recommended travel suggestions in all positive evaluations, and counting the number of repeated travel suggestions; Integrate travel suggestions with a quantity greater than a preset quantity value, and mark them on the electronic map as supplementary explanations of the point of interest.

7. A travel recommendation method, characterized in that, It includes: Obtain the current scenario information of the user, and the scenario information includes time information, location information, and weather information; Determine the service type recommended to the user according to the scenario information, and recommend high-priority points of interest, their corresponding travel routes and estimated arrival times to the user based on the service type and the electronic map; wherein, the electronic map is marked by the marking method of any one of claims 1-6.

8. The travel recommendation method according to claim 7, wherein It also includes: Based on the location information, when the distance between the user's current location and the location of the point of interest marked on the electronic map is less than a preset distance value, remind the user, and correspondingly display / explain the priority, classification attributes, and supplementary explanations of the point of interest.

9. A travel recommendation method, characterized in that, It includes: Respond to the user's travel mode and obtain the travel style selected by the user; Screen out high-priority points of interest with corresponding classification attributes from the points of interest marked on the electronic map according to the travel style as travel destinations; wherein, the electronic map is marked by the marking method of any one of claims 1-6; Formulate a corresponding travel route according to the location information input by the user or the user's current location, and the location information of the travel destination, and prompt the user according to the supplementary explanation of the travel destination.

10. A vehicle-mounted terminal, characterized in that, It includes a processor, the processor is coupled with a memory, and the memory stores program instructions. When the program instructions stored in the memory are executed by the processor, the method described in any one of claims 1 to 9 is implemented.

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