KR-20260062367-A - Regional Recommendation Device Based On Local Data

Abstract

A local data-based region recommendation device includes a communication unit that communicates with an external device, a control unit that stores region information for each of a plurality of regions and a plurality of recommended regions corresponding to each of a plurality of user information, and upon receiving a plurality of user information and a region recommendation request from a user terminal, searches for a plurality of recommended regions corresponding to the plurality of user information using an artificial intelligence model, and provides the plurality of recommended regions corresponding to the received plurality of user information and the region information for each of the plurality of recommended regions to the user terminal as a result of the search.

Inventors

• 강규빈

Assignees

• 강규빈

Dates

Publication Date

20260507

Application Date

20241029

Claims (8)

1. In a local data-based regional recommendation device, A communication unit that communicates with an external device; and A local data-based region recommendation device characterized by including a control unit that stores region information for each of a plurality of regions and a plurality of recommended regions according to each of a plurality of user information, and when a plurality of user information and a region recommendation request are received from a user terminal, searches for a plurality of recommended regions corresponding to the plurality of user information using an artificial intelligence model, and provides the plurality of recommended regions according to the plurality of user information received as a search result and the region information for each of the plurality of recommended regions to the user terminal.
2. In Article 1, The above control unit is, A local data-based region recommendation device characterized by storing evaluation information for each of a plurality of regions, and providing a plurality of recommended regions according to each of a plurality of user information by assigning weights based on the evaluation information.
3. In Article 2, The regional information for each of the above plurality of regions is, A local data-based regional recommendation device characterized by including population size, inflow/outflow ratio, population ratio by household, cost of living, cultural facilities, hospitals and clinics, festivals and events, weather, support policies, and public data.
4. In Paragraph 3, The above plurality of user information is, A local data-based regional recommendation device characterized by including age, gender, number of household members, children, presence of pets, occupation, region of origin, and interest information obtained through a survey.
5. In Article 2, The evaluation information for each of the aforementioned multiple regions is, A local data-based local recommendation device characterized by including evaluator user information, type of stay, region, period of residence, satisfaction, recommendation score, and reviews.
6. In Article 1, The above control unit is, A local data-based regional recommendation device characterized by providing multiple recommended regions and regional information based on multiple user information, including multiple activity base locations including the locations of the user and family's workplaces, activity sites, and schools; travel conditions including travel distances and travel times related to each of the multiple activity base locations; and real estate conditions including real estate prices and infrastructure surrounding the real estate.
7. In Article 6, The above control unit is, A local data-based regional recommendation device characterized by collecting traffic data for each of a plurality of recommended regions through a network, and calculating and providing an average travel time from each of the plurality of recommended regions to the plurality of activity base locations during the activity travel time based on the plurality of activity base locations including the locations of workplaces, activity places, and schools, the activity travel time, and the traffic data.
8. In Article 1, The above control unit is, A local data-based region recommendation device characterized by storing a region environment image including popular locations, popular events, popular images, and popular videos for each of a plurality of regions, extracting sentiment keywords from the plurality of user information, and providing region information including a plurality of recommended regions to which the sentiment keywords are applied and a region environment image for each of the plurality of recommended regions.

Description

Regional Recommendation Device Based on Local Data The present invention relates to a local data-based location recommendation device, and more specifically, to a local data-based location recommendation device that recommends a region to a user to reside in or stay in. Recently, the local population has been gradually declining, and in response to the national crisis of regional extinction, various regional revitalization policies are being implemented. In particular, in addition to traditional return to farming and rural life, the concept of a "living population" (related population) has been formalized, encompassing activities such as "living in a month," "living in a village for 5 days and 2 weeks," and "workcation," where people stay in a specific region for a certain amount of time or frequency while maintaining their existing place of residence. However, despite the diversification of ways to utilize local information, there is still a lack of corresponding services, resulting in a failure to recommend regions that meet user needs in areas such as posting, searching, and recommending local information. Furthermore, there is a significant inconvenience for the younger generation, who are mostly accustomed to urban life and internet-centric services, as they find it difficult to grasp this local information and must visit the region in person to find out. FIG. 1 is an overall example of a local data-based local recommendation device according to the present invention. Figure 2 is a control block diagram of a local data-based local recommendation device. FIG. 3 is a flowchart of a first embodiment of a local data-based local recommendation method according to the present invention. Figure 4 is a flowchart of a second embodiment of a local data-based local recommendation method. Figure 5 is a flowchart of a third embodiment of a local data-based local recommendation method. Figure 6 is a flowchart of a fourth embodiment of a local data-based local recommendation method. Hereinafter, a local data-based local recommendation device (1) according to a preferred embodiment of the present invention will be described in detail with reference to the attached drawings. FIG. 1 is an overall example diagram of a local data-based local recommendation device (1) according to the present invention, and FIG. 2 is a control block diagram of a local data-based local recommendation device (1). The configuration of a local data-based local recommendation device (1) is described with reference to FIGS. 1 and FIGS. 2. A local data-based local recommendation device (1) includes a communication unit (10), a display unit (20), a user input unit (30), a speaker (40), and a control unit (50). The communication unit (10) communicates with an external device. The communication unit (10) can perform wireless communication, and the wireless communication includes at least one of infrared communication, RF, Zigbee, and Bluetooth. The communication unit (10) receives a video signal and transmits it to the control unit (50) to be described later, and can be implemented in various ways corresponding to the specifications of the received video signal and the implementation form of the user terminal. For example, the communication unit (10) can wirelessly receive an RF (radio frequency) signal transmitted from a broadcasting station (not shown), or receive a video signal according to composite video, component video, super video, SCART, HDMI (high definition multimedia interface) specifications, etc. via a wired connection. If the video signal is a broadcast signal, the communication unit (10) may include a tuner that tunes the broadcast signal by channel. The display unit (20) displays an image based on an image signal processed by image processing. The implementation method of the display unit (20) is not limited and can be implemented in various display methods such as liquid crystal, plasma, light-emitting diode, organic light-emitting diode, surface conduction electron-emitter, carbon nanotube, nano-crystal, etc. The display unit (20) may additionally include additional configurations depending on the implementation method. For example, if the display unit (20) is a liquid crystal type, the display unit (20) includes a liquid crystal display panel (not shown), a backlight unit (not shown) that supplies light thereto, and a panel driving board (not shown) that drives the panel (not shown). The display unit (20) may display a voice recognition result as information regarding the recognized voice. Here, the voice recognition result can be displayed in various forms such as text, graphics, and icons, and the text includes characters and numbers. The display unit (20) may further display candidate commands and application information based on the voice recognition result. The user can check whether the voice has been correctly recognized by the voice recognition result displayed on the display unit (20), and can select a command correspond