WO2020044094A1

WO2020044094A1 - Resource recommendation method and apparatus, electronic device and computer readable medium

Info

Publication number: WO2020044094A1
Application number: PCT/IB2018/057156
Authority: WO
Inventors: 蔡山清
Original assignee: 优视科技新加坡有限公司
Priority date: 2018-08-27
Filing date: 2018-09-18
Publication date: 2020-03-05
Also published as: CN109168127A

Abstract

Disclosed by the present application are a resource recommendation method and apparatus, an electronic device and a computer readable medium. One specific manner of embodying the method comprises: determining a physical location of a user and a requirement target of the user; determining multiple images provided with location marks, and extracting characteristic imaging elements from the multiple images; filtering an image associated with the requirement target from the multiple images according to the characteristic imaging elements; and recommending a resource according to the location mark provided in an image associated with the requirement target as well as according to the physical location. The technical solution of the embodiments of the present application improves the friendliness of location-based interaction.

Description

资源推荐方法、装置、电子设备以及计算机可读介质本申请要求在 2018 年 08 月 27 日提交中国专利局、申请号为 Resource recommendation method, device, electronic device and computer-readable medium This application requires the submission of the China Patent Office on August 27, 2018, with the application number being

201810979499. 3、发明名称为“资源推荐方法、装置、电子设备以及计算机可读介质” 的中国专利申请的优先权，其全部内容通过引用结合在本申请中。技术领域 201810979499. 3. The priority of the Chinese patent application with the invention name of "resource recommendation method, device, electronic device and computer readable medium", the entire contents of which are incorporated herein by reference. Technical field

[001]本申请涉及计算机技术领域，具体涉及互联网技术领域，尤其涉及一种资源推荐方法、装置、电子设备以及计算机可读存储介质。背景技术 [001] The present application relates to the field of computer technology, and particularly to the field of Internet technology, and in particular, to a resource recommendation method, apparatus, electronic device, and computer-readable storage medium. Background technique

[002]基于位置的服务（LocationBasedService， LBS）***是通过电信移动运营商的无线电通讯网络（如 GSM网、 CDMA网）或外部定位方式（如 GPS）获取移动终端用户的位置信息（地理坐标，或大地坐标），在地理信息***（Geographic Information System , GIS）平台的支持下，为用户提供相应服务的一种增值业务。 [002] The location-based service (LocationBasedService, LBS) system obtains the location information (geographical coordinates, Or geodetic coordinates), a value-added service that provides users with corresponding services under the support of a Geographic Information System (GIS) platform.

[003] LBS业务的特点主要有：一、覆盖率方面的要求高。一方面要求覆盖的范围足够大。另一方面要求覆盖的范围包括室内。用户大部分时间是在室内使用该功能，从高层建筑和地下设施必须保证覆盖到每个角落。根据覆盖率的范围，可以分为三种覆盖率的定位服务：在整个本地网、覆盖部分本地网和提供漫游网络服务类型。除了考虑覆盖率外，网络结构和动态变化的环境因素也可能使一个电信运营商无法保证在本地网络或漫游网络中的服务。二、基于用户需求的定位精度要求。手机定位应该根据用户服务需求的不同提供不同的精度服务，并可以提供给用户选择精度的权利。例如美国 FCC推出的定位精度在 50米以内的概率为 67 %，定位精度在 150米以内的概率为 95 %。定位精度一方面与采用的定位技术有关，另外还要取决于提供业务的外部环境，包括无线电传播环境、基站的密度和地理位置、以及定位所用设备等。 [004] LBS服务被认为是继短信之后的杀手级业务之一，有着巨大的市场规模和良好的盈利前景，但实际进展比较缓慢。不过，随着产业链的完善，移动位置和位置服务市场有望日益壮大。自 2008年开始全球 LBS 运营市场将会开始加速成长，但是在开展的同时要非常注意业务和网络性能的平衡点，应该在保障网络性能的同时最大可能的保证业务的开展。 [003] The characteristics of the LBS service are as follows: 1. High requirements on coverage. On the one hand, the coverage needs to be large enough. On the other hand, the coverage required includes indoors. Users use this function indoors most of the time, from high-rise buildings and underground facilities must ensure coverage to every corner. According to the range of coverage, it can be divided into three types of coverage positioning services: the entire local network, covering part of the local network, and providing roaming network service types. In addition to considering coverage, network structure and dynamically changing environmental factors may also prevent a telecommunications operator from guaranteeing service in the local network or roaming network. Second, positioning accuracy requirements based on user needs. Mobile phone positioning should provide different accuracy services according to different user service needs, and can provide users with the right to choose accuracy. For example, the probability of positioning accuracy within 50 meters introduced by the FCC in the United States is 67%, and the probability of positioning accuracy within 150 meters is 95%. The positioning accuracy is related to the positioning technology used, and also depends on the external environment in which the service is provided, including the radio propagation environment, the density and geographical location of the base station, and the equipment used for positioning. [004] The LBS service is considered to be one of the killer services after the short message. It has a huge market size and good profit prospects, but the actual progress is relatively slow. However, with the improvement of the industrial chain, the mobile location and location service market is expected to grow. Since 2008, the global LBS operation market will begin to accelerate its growth, but at the same time, it must pay attention to the balance between business and network performance. It should ensure the performance of the business while ensuring network performance.

[005]智能移动设备的普及和移动互联技术的发展，突破了传统的时间和位置限制。人们也逐渐***板和笔记本的移动数据流量相比较去年同期增长了 65 %，且预测在 2021年年末， 90 %的网络流量将会被智能手机所支配。可以发现，智能移动设备已经有巨大的应用市场，而且在未来会表现得愈加重要。 [005] The popularity of smart mobile devices and the development of mobile internet technologies have broken through traditional time and location restrictions. People are also getting accustomed to obtaining and sharing information from smart mobile devices, and various merchants have begun to provide more and more segmented services. The latest report from market research firm IDC shows that global smartphone shipments increased by 10% in 2015 to 1.433 billion. The Ericsson Mobile Report indicates that mobile data traffic from smartphones, tablets and laptops in the third quarter of 2015 increased by 65% compared to the same period last year, and predicts that by the end of 2021, 90% of network traffic will be dominated by smartphones. It can be found that there is already a huge application market for smart mobile devices, and it will become even more important in the future.

[006]在为众多智能移动设备开发的应用软件中，基于用户地理位置的服务 (Location Based Service， LBS)也已成为用户的日常，且覆盖面逐渐扩大。例如：大众点评、口碑等签到类应用则在位置信息基础上，对商家进行打破； Instagram和 Fl ickr等照片分享网站也可以添加当前位置信息；以 Facebook、 Twitter、 MySpace、微信、微博等为代表的社交网络也已经具备了位置共享、位置签到等服务；地图类产品更是为大家的出行带来了方便；还有一些细分市场，利用位置信息给用户提供服务。 [006] Among the application software developed for many smart mobile devices, the location based service (LBS) of users has also become a daily routine for users, and coverage has gradually expanded. For example: Check-in applications such as public comment and word of mouth will break the business based on location information; Instagram, Flicker and other photo sharing websites can also add the current location information; Facebook, Twitter, MySpace, WeChat, Weibo, etc. as Representative social networks also have services such as location sharing and location check-in; map products have brought convenience to everyone's travel; there are also some market segments that use location information to provide services to users.

[007]但是，上述基于位置信息的应用软件或者技术中，基于位置的交互友好性亟待进一步提高。发明内容 [007] However, in the above-mentioned application software or technology based on location information, the location-based interaction friendliness needs to be further improved. Summary of the Invention

[008]本申请的目的在于提出一种资源推荐方法、装置、电子设备以及计算机可读介质，来解决现有技术的上述问题。 [008] The purpose of this application is to propose a resource recommendation method, device, electronic device, and computer-readable medium to solve the above-mentioned problems in the prior art.

[009]第一方面，本申请提供了一种资源推荐方法，其包括： [009] In a first aspect, this application provides a resource recommendation method, which includes:

[0010]确定用户的物理位置以及用户的需求目标； [0010] determine the physical location of the user and the needs of the user;

[0011 ]确定配置有位置标注的多个图像，并从所述多个图像中提取出特征成像元素； [0012]根据所述特征成像元素，从所述多个图像中筛选出关联于所述需求目标的图像； [0011] determining a plurality of images configured with position annotation, and extracting a characteristic imaging element from the plurality of images; [0012] according to the characteristic imaging element, filtering out images associated with the demand target from the plurality of images;

[0013]根据关联于所述需求目标的图像中配置的位置标注以及所述物理位置进行资源推荐。 And [0013] performing resource recommendation based on a position label configured in an image associated with the demand target and the physical location.

[0014]第二方面，本申请实施例提供了一种资源推荐装置，其包括: [0014] In a second aspect, an embodiment of the present application provides a resource recommendation device, including:

[0015]第一程序单元，用于确定用户的物理位置以及用户的需求目标； [0015] a first program unit, configured to determine a user's physical location and a user's demand target;

[0016]第二程序单元，用于确定配置有位置标注的多个图像，并从所述多个图像中提取出特征成像元素； [0016] a second program unit, configured to determine a plurality of images configured with position annotations, and extract feature imaging elements from the plurality of images;

[0017]第三程序单元，用于根据所述特征成像元素，从所述多个图像中筛选出关联于所述需求目标的图像； [0017] a third program unit, configured to filter, based on the characteristic imaging element, an image associated with the demand target from the plurality of images;

[0018]第四程序单元，用于根据关联于所述需求目标的图像中配置的位置标注以及所述物理位置进行资源推荐。 [0018] A fourth program unit, configured to perform resource recommendation according to a position label configured in an image associated with the demand target and the physical position.

[0019]第三方面，本申请实施例提供了一种电子设备，包括： [0019] In a third aspect, an embodiment of the present application provides an electronic device, including:

[0020]一个或多个处理器； [0020] one or more processors;

[0021 ]计算机可读介质，用于存储一个或多个程序， [0021] a computer-readable medium for storing one or more programs,

[0022]当所述一个或多个程序被所述一个或多个处理器执行，使得所述一个或多个处理器实现上述任一所述的方法。 [0022] when the one or more programs are executed by the one or more processors, so that the one or more processors implement any of the methods described above.

[0023]第四方面，本申请实施例提供了一种计算机可读介质，其上存储有计算机程序，该程序被处理器执行时实现实现上述任一所述的方法。 [0023] In a fourth aspect, an embodiment of the present application provides a computer-readable medium on which a computer program is stored, and when the program is executed by a processor, implements any of the foregoing methods.

[0024]本申请提供的技术方案中，通过确定用户的物理位置以及用户的需求目标；确定配置有位置标注的多个图像，并从所述多个图像中提取出特征成像元素；根据所述特征成像元素，从所述多个图像中筛选出关联于所述需求目标的图像；以及根据关联于所述需求目标的图像中配置的位置标注以及所述物理位置进行资源推荐，从而提高了基于位置的交互友好性。附图说明 [0024] In the technical solution provided by the present application, the physical location of the user and the user's needs are determined; a plurality of images configured with position annotations are determined, and feature imaging elements are extracted from the plurality of images; according to the Feature imaging elements, filtering images associated with the demand target from the plurality of images; and performing resource recommendation based on the position labels and the physical locations configured in the images associated with the demand target, thereby improving based on Location friendly. BRIEF DESCRIPTION OF THE DRAWINGS

[0025]通过阅读参照以下附图所作的对非限制性实施例所作的详细描述，本申请的其它特征、目的和优点将会变得更明显： [0026] 图 1为本申请实施例一中资源推荐方法流程示意图； [0025] Other features, objects, and advantages of the present application will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings: [0026] FIG. 1 is a schematic flowchart of a resource recommendation method in Embodiment 1 of the present application;

[0027] 图 2为本申请实施例二中资源推荐装置的结构示意图； [0027] FIG. 2 is a schematic structural diagram of a resource recommendation device in Embodiment 2 of the present application;

[0028] 图 3为本申请实施例三中资源推荐装置的结构示意图； [0028] FIG. 3 is a schematic structural diagram of a resource recommendation device in Embodiment 3 of the present application;

[0029] 图 4为本申请实施例四中设备 /终端 /服务器的结构示意图； [0030] 图 5为本申请实施例五中设备 /终端 /服务器的硬件结构。具体实施方式 4 is a schematic structural diagram of a device / terminal / server in Embodiment 4 of the present application; [0030] FIG. 5 is a hardware structure of the device / terminal / server in Embodiment 5 of the present application. detailed description

[0031]下面结合附图和实施例对本申请作进一步的详细说明。可以理解的是，此处所描述的具体实施例仅仅配置为解释相关发明，而非对该发明的限定。另外还需要说明的是，为了便于描述，附图中仅示出了与有关发明相关的部分。 [0031] The present application is further described in detail below with reference to the drawings and embodiments. It can be understood that the specific embodiments described herein are only configured to explain the related invention, but not to limit the invention. It should also be noted that, for ease of description, only the parts related to the related invention are shown in the drawings.

[0032]需要说明的是，在不冲突的情况下，本申请中的实施例及实施例中的特征可以相互组合。下面将参考附图并结合实施例来详细说明本申请。 [0032] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The application will be described in detail below with reference to the drawings and embodiments.

[0033] 图 1为本申请实施例一中资源推荐方法流程示意图；如图 1 所示，其包括： 1 is a schematic flowchart of a resource recommendation method in Embodiment 1 of the present application; as shown in FIG. 1, it includes:

[0034] S 101、确定用户的物理位置以及用户的需求目标； [0034] S101. Determine the physical location of the user and the user's demand target;

[0035]本实施例中，步骤 S101中确定用户的物理位置以及用户的需求目标时，可以根据对用户输入的解析结果，确定用户的物理位置以及用户的需求目标。 [0035] In this embodiment, when the user's physical location and the user's demand target are determined in step S101, the user's physical location and the user's demand target may be determined according to the analysis result of the user input.

[0036]本实施例中，所述用户输入为文本输入或者语音输入中的至少一种。用户输入可以为在对话框中输入的文本关键词，或者，在对话框中输入的语音关键词。用户的输入还可以为：在对话框中输入的图片，或者，用户在应用程序界面中指定或者选定的对象，或者，用户在应用程序推荐的候选资源中选定或者指定的对象。 [0036] In this embodiment, the user input is at least one of text input or voice input. The user input may be a text keyword entered in a dialog box, or a voice keyword entered in a dialog box. The user input can also be: a picture entered in a dialog box, or an object specified or selected by the user in the application program interface, or an object selected or specified by the user in the candidate resources recommended by the application.

[0037]本实施例中，对用户输入的解析过程可以包括：对所述文本关键词进行切分、关键词提取等处理，或者，将语音关键词转换为文本关键词，在经过切分、关键词提取等；或者，从应用程序界面中进行指定或者选定动作的捕获，再与该应用程序界面上配置的内容进行匹配。 [0037] In this embodiment, the parsing process for the user input may include: processing the text keywords, keyword extraction, or other processing, or converting the speech keywords into text keywords. Keyword extraction, etc .; or, capturing a specified or selected action from an application program interface, and matching with content configured on the application program interface.

[0038]为此，可以在应用程序中配置输入接口，该输入接口用于捕获所述用户输入。 [0039]如果允许应用程序读取访问用户的位置数据，则通过对用户输入中 GPS位置数据进行解析，确定出用户的物理位置。 [0038] To this end, an input interface may be configured in an application program, the input interface being used to capture the user input. [0039] If the application is allowed to read the location data of the user, the physical location of the user is determined by analyzing the GPS location data in the user input.

[0040]如果不允许应用程序读取访问用户的位置数据，则可以通过对用户输入中的无线电通讯网络（如 GSM网、 CDMA网）数据进行解析，确定出用户的物理位置。 [0040] If the application program is not allowed to read and access the location data of the user, the physical location of the user can be determined by analyzing the data of the radio communication network (such as GSM network, CDMA network) in the user input.

[0041]本实施例中，用户的需求实际上是表征用户当前动作的最终目的，比如是旅游景点、还是餐饮等。 [0041] In this embodiment, the user's demand is actually the ultimate purpose of characterizing the user's current actions, such as a tourist attraction, a restaurant, or the like.

[0042] S102、确定配置有位置标注的多个图像，并从所述多个图像中提取出特征成像元素； [0042] S102. Determine a plurality of images configured with position labels, and extract feature imaging elements from the plurality of images;

[0043]本实施例中，在后台可以配置一个图像库，该图像库中的所有图像均携带有位置标注。该图像库可以基于大数据搜索技术建立，即对使用同一应用程序的所有用户的输入进行分析得到生成一个图像，在图像上增加位置标注。比如，基于神经网络预先建立特征库。 [0043] In this embodiment, an image library can be configured in the background, and all images in the image library carry position labels. The image library can be established based on big data search technology, that is, the analysis is performed on the input of all users using the same application to generate an image, and position annotation is added to the image. For example, a feature library is established in advance based on a neural network.

[0044]当然，也可以基于搜索技术，从其他数据源上图片的爬取，爬取到那些有位置标注的图像，并存储到后台的数据库中。至于如何确定爬取到的图像是有位置标注的，具体可以对图像进行解析，判断解析结果中是否包括位置数据即可。即对所有图像进行解析，以确定配置有位置标注的图像。 [0044] Of course, it is also possible to crawl pictures from other data sources based on the search technology, to crawl those images with position markers, and store them in the background database. As for how to determine that the crawled image has a position label, the image can be specifically analyzed to determine whether the analysis result includes position data. That is, all images are parsed to determine the image that is configured with position annotation.

[0045]当然，在其他实施例中，也可以直接在有位置标注的图像进行标记，该标记对应一个数据位，直接可以写到图像的头数据中。 [0045] Of course, in other embodiments, a mark may also be directly marked on the image with a position mark, and the mark corresponds to a data bit, which can be directly written into the header data of the image.

[0046] S103、根据所述特征成像元素，从所述多个图像中筛选出关联于所述需求目标的图像； [0046] S103. According to the characteristic imaging element, filter out images related to the demand target from the multiple images;

[0047]本实施例中，在步骤 S103中具体可以对所述多个图像进行增强识别处理，以从所述多个图像中提取出特征成像元素。 [0047] In this embodiment, step S103 may specifically perform enhanced recognition processing on the multiple images to extract a characteristic imaging element from the multiple images.

[0048]本实施例中，根据预先建立的特征库与所述特征成像元素进行全局定位和局部定位，以从所述多个图像中筛选出关联于所述需求目标的图像。一种具体的应用场景比如为：通过搜集到的图像，不限于图片，可以进行室内定位推荐，例如在大型的商场，很容易迷失，要想要找到人在哪一层的哪个位置就比较难，如果对方发了一张图片过来，那么这边根据增强型图像分析，就能知道对方在那一层哪一个位置。附带能做到室内定位。另外上次举的例子，因为用户上传了一些图像，根据这些图像不仅能知道这个大厦有咖啡厅，而且还能知道在哪一层的哪一个位置。 [0048] In this embodiment, global positioning and local positioning are performed with the feature imaging element according to a pre-established feature library to filter out images associated with the demand target from the plurality of images. A specific application scenario is: The collected images are not limited to pictures, and can be recommended for indoor positioning. For example, in large shopping malls, it is easy to get lost. It is more difficult to find where and on which floor a person is. If the other party sends a picture here, then based on the enhanced image analysis, you can know which position the other party is on. It can be used for indoor positioning. In the last example, because the user uploaded some images, according to These images can not only know that this building has a cafe, but also where and on which floor.

[0049]当然，对图像进行增强处理，也可以在步骤 S102之后、步骤 S103之前执行。 [0049] Of course, the enhancement processing may be performed on the image after step S102 and before step S103.

[0050]本申请获取用户所在位置图片样本空间，再基于图像匹配获取样本点的索引号，命中图片中建筑物或风景的历史资料、本地服务等特征成像元素，并将这些特征成像元素添加到对图片的属性信息说明中。 [0050] This application obtains a sample space of a picture of a user's location, and then obtains an index number of a sample point based on image matching, and hits feature imaging elements such as historical data of buildings or landscapes in the picture, local services, and adds these feature imaging elements to The description of the attribute information of the picture.

[0051]另外，对图像的增强处理还可以包括将图片的拍摄者即用户的属性信息添加到图片的属性信息中，作为特征成像元素。 [0051] In addition, the image enhancement processing may further include adding attribute information of a photographer of the picture, that is, a user, to attribute information of the picture as a characteristic imaging element.

[0052]当包括不同的属性信息时，可以对属性信息进行分类存储，以形成不同类的特征成像元素。特征库中图像和特征成像元素之间具有 -对应关系。 [0052] When different attribute information is included, the attribute information may be classified and stored to form different types of feature imaging elements. There is a-correspondence relationship between the images in the feature library and the feature imaging elements.

[0053] S104、根据关联于所述需求目标的图像中配置的位置标注以及所述物理位置进行资源推荐。 [0053] S104. Perform resource recommendation according to a position label configured in an image associated with the demand target and the physical position.

[0054]本实施例中，步骤 S104中根据所述特征成像元素，从所述多个图像中筛选出关联于所述需求目标的图像时，具体可以根据预先建立的特征库与所述特征成像元素，从所述多个图像中筛选出关联于所述需求目标的图像，不同的用户因为在同一时间处于同一地理位置构建用户关键。 [0054] In this embodiment, in step S104, according to the feature imaging element, an image associated with the demand target is filtered from the multiple images, and the feature image may be specifically imaged with the feature database established in advance Element, filtering the images related to the demand target from the multiple images, and it is critical for different users to construct users at the same geographical location at the same time.

[0055]本实施例中，特征成像元素可以是基于对同一成像对象的，比如，对同一餐饮地点、旅游景点等，也可以是基于对具有相同兴趣爱好的，比如具有相似的年龄。 [0055] In this embodiment, the feature imaging element may be based on the same imaging object, for example, the same dining place, tourist attraction, etc., or may be based on a love with the same interest, such as having similar ages.

[0056]在进行资源的推荐时，可以直接进行地理位置和位置标注得比对，图片相似度的比对等，从而实现资源的推荐。 [0056] When performing resource recommendation, the geographic location and location labeling can be directly compared, and the image similarity can be compared to achieve resource recommendation.

[0057]具体地，可以首先通过图像相似度的比对，确定出具有相同或者相似特征成像元素的图像，再进一步进行地理位置和位置标注的比对，从而确定出表示同一地理位置或者一定地理位置范围内图像，最终形成推荐的资源，在不同的用户之间进行共享，对用户进行了聚合，使得可在不同用户之间进行资源的共享推荐，从而提高了友好性。 [0057] Specifically, an image with the same or similar feature imaging element may be determined first by comparing the similarity of the images, and then the comparison of the geographical position and the position label may be performed to determine the same geographical position or a certain geographical position. The images in the location range finally form the recommended resources, which are shared among different users, and the users are aggregated, so that the shared recommendation of resources can be performed among different users, thereby improving the friendliness.

[0058]本实施例中，具体可以通过颜色差值的计算，确定两幅图像之间的相似度。具体的处理过程如下：将进行比较的两幅图像分别处理形成白色背景单色图像，再根据中心像素的相邻区域的参数 s计算出卷积区域大小；对白色背景单色图像上的每个输入像素点完成卷积计算，再进一步计算每个输入像素点的图像力矩，根据像素点图像力矩的大小判断像素点的相似性，如果两幅图像所有像素点的图像力矩位于相同的阈值范围，则判定整副图像之间的相似度。 [0058] In this embodiment, the similarity between the two images may be specifically determined through calculation of a color difference value. The specific process is as follows: The two images to be compared are processed separately A white background monochrome image is formed, and the size of the convolution area is calculated according to the parameter s of the adjacent area of the central pixel; the convolution calculation is completed for each input pixel point on the white background monochrome image, and each input pixel is further calculated The image moment of a point is used to determine the similarity of the pixels according to the magnitude of the image moment of the pixel. If the image moments of all pixels of the two images are in the same threshold range, the similarity between the entire image is determined.

[0059]当确定一定地理位置范围内图像时，可以基于标注的位置的范围进行图像的筛选。 [0059] When determining images within a certain geographic range, image filtering can be performed based on the range of labeled locations.

[0060]在一些实施例中，根据关联于所述需求目标的图像中配置的位置标注以及所述物理位置进行资源推荐包括：根据关联于所述需求目标的图像中配置的位置标注以及所述物理位置生成推荐队列，根据推荐队列中资源的推荐优先级从高低的顺序资源推荐。 [0060] In some embodiments, performing resource recommendation based on the position label configured in the image associated with the demand target and the physical location includes: according to the position label configured in the image associated with the demand target and the A recommendation queue is generated at a physical location, and the resources are recommended from high to low according to the recommendation priority of the resources in the recommendation queue.

[0061] 图 2为本申请实施例二中资源推荐装置的结构示意图；如图 2所示，其包括： 2 is a schematic structural diagram of a resource recommendation device in Embodiment 2 of the present application; as shown in FIG. 2, it includes:

[0062]第一程序单元 201，用于确定用户的物理位置以及用户的需求目标； [0062] a first program unit 201, configured to determine a physical location of a user and a demand target of the user;

[0063]第二程序单元 202 , 用于确定配置有位置标注的多个图像，并从所述多个图像中提取出特征成像元素； [0063] a second program unit 202, configured to determine a plurality of images configured with position annotations, and extract feature imaging elements from the plurality of images;

[0064]第三程序单元 203 用于根据所述特征成像元素，从所述多个图像中筛选出关联于所述需求目标的图像； [0064] a third program unit 203 is configured to filter, based on the characteristic imaging element, an image associated with the demand target from the multiple images;

[0065]第四程序单元 204 用于根据关联于所述需求目标的图像中配置的位置标注以及所述物理位置进行资源推荐。 [0065] A fourth program unit 204 is configured to perform resource recommendation according to a position label configured in an image associated with the demand target and the physical position.

[0066]进一步地，第一程序单元 201进一步用于根据对用户输入的解析结果，确定用户的物理位置以及用户的需求目标。所述用户输入为文本输入或者语音输入中的至少一种。 [0066] Further, the first program unit 201 is further configured to determine the physical location of the user and the user's demand target according to the analysis result of the user input. The user input is at least one of a text input or a voice input.

[0067]进一步地，第一程序单元 201进一步用于通过配置的输入接口，捕获所述用户输入。 [0067] Further, the first program unit 201 is further configured to capture the user input through a configured input interface.

[0068]进一步地，第二程序单元 202进一步用于对所有图像进行解析，以确定配置有位置标注的图像。 [0068] Further, the second program unit 202 is further configured to analyze all images to determine an image configured with a position label.

[0069]进一步地，第二程序单元 202进一步用于对所述多个图像进行增强识别处理，以从所述多个图像中提取出特征成像元素。 [0069] Further, the second program unit 202 is further configured to perform enhanced recognition processing on the multiple images to extract feature imaging elements from the multiple images.

[0070]进一步地，第三程序单元 203进一步用于根据预先建立的特征库与所述特征成像元素，从所述多个图像中筛选出关联于所述需求目标的图像。 [0070] Further, the third program unit 203 is further configured to: The collection database and the feature imaging element filter out images related to the demand target from the plurality of images.

[0071] 图 3为本申请实施例三中资源推荐装置的结构示意图；如图 3所示，其包括上述实施例中的第一程序单元 201、第二程序单元 202、第三程序单元 203、第四程序单元 204, 还包括，第五程序单元 205，用于基于神经网络预先建立上述方法实施例中的特征库。 [0071] FIG. 3 is a schematic structural diagram of a resource recommendation device in Embodiment 3 of the present application; as shown in FIG. 3, it includes the first program unit 201, the second program unit 202, the third program unit 203, The fourth program unit 204 further includes a fifth program unit 205, configured to pre-establish a feature library in the foregoing method embodiment based on a neural network.

[0072]进一步地，本实施例中，第四程序单元 204进一步用于根据关联于所述需求目标的图像中配置的位置标注以及所述物理位置生成推荐队列，根据推荐队列中资源的推荐优先级从高低的顺序资源推荐。 [0072] Further, in this embodiment, the fourth program unit 204 is further configured to generate a recommendation queue according to the position label configured in the image associated with the demand target and the physical location, and prioritize the recommendation of resources in the recommendation queue. Levels are recommended from high to low order resources.

[0073] 图 4为本申请实施例四中设备 /终端 /服务器的结构示意图；该设备 /终端 /服务器可以包括： 4 is a schematic structural diagram of a device / terminal / server in Embodiment 4 of the present application; the device / terminal / server may include:

[0074]一个或多个处理器 401 ; [0074] one or more processors 401;

[0075]计算机可读介质 402 , 可以配置为存储一个或多个程序， [0076]当所述一个或多个程序被所述一个或多个处理器执行，使得所述一个或多个处理器实现如上述任一实施例中所述资源推荐方法。 [0075] The computer-readable medium 402 may be configured to store one or more programs, [0076] when the one or more programs are executed by the one or more processors, so that the one or more processors Implement the resource recommendation method as described in any of the above embodiments.

[0077] 图 5为本申请实施例五中设备 /终端 /服务器的硬件结构；如图 5所示，该设备 /终端 /服务器的硬件结构可以包括：处理器 501，通信接口 502，计算机可读介质 503和通信总线 504； 5 is a hardware structure of a device / terminal / server in Embodiment 5 of the present application; as shown in FIG. 5, the hardware structure of the device / terminal / server may include: a processor 501, a communication interface 502, and a computer readable Medium 503 and communication bus 504;

[0078]其中处理器 501、通信接口 502、计算机可读介质 503通过通信总线 504完成相互间的通信； [0078] The processor 501, the communication interface 502, and the computer-readable medium 503 complete communication with each other through a communication bus 504;

[0079]可选的，通信接口 502可以为通信模块的接口，如 GSM模块的接口； [0079] Optionally, the communication interface 502 may be an interface of a communication module, such as an interface of a GSM module;

[0080]其中，处理器 501具体可以配置为：确定用户的物理位置以及用户的需求目标；确定配置有位置标注的多个图像，并从所述多个图像中提取出特征成像元素；根据所述特征成像元素，从所述多个图像中筛选出关联于所述需求目标的图像；根据关联于所述需求目标的图像中配置的位置标注以及所述物理位置进行资源推荐。 [0080] The processor 501 may be specifically configured to: determine a user's physical location and a user's demand target; determine a plurality of images configured with position annotations, and extract feature imaging elements from the plurality of images; The feature imaging element selects an image associated with the demand target from the plurality of images; and performs resource recommendation based on a position label configured in the image associated with the demand target and the physical location.

[0081]处理器 501 可以是通用处理器，包括中央处理器 (Central Processing Unit , 简称 CPU)、网络处理器 (Network Processor , 简称 NP)等；还可以是数字信号处理器 (DSP)、专用集成电路 (ASIC)、现成可编程门阵列 (FPGA)或者其它可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件。可以实现或者执行本申请实施例中的公开的各方法、步骤及逻辑框图。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。 [0081] The processor 501 may be a general-purpose processor, including a central processing unit (CPU), a network processor (Network Processor, NP), etc .; it may also be a digital signal processor (DSP), dedicated integration Circuit (ASIC), off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic Pieces, discrete hardware components. Various methods, steps, and logical block diagrams disclosed in the embodiments of the present application may be implemented or executed. A general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

[0082]计算机可读介质 503可以是，但不限于，随机存取存储介质 ( Random Access Memory, RAM) ，只读存储介质 (Read Only Memory, ROM) ，可编程只读存储介质 (Programmable Read-Only Memory, PROM) ，可擦除只读存储介质 ( Erasable Programmable Read-Only Memory , EPROM ) ，电可擦除只读存储介质 ( Electric Erasable Programmable Read-Only Memory, EEPR0M) 等。 [0082] The computer-readable medium 503 may be, but is not limited to, a random access memory (Random Access Memory, RAM), a read-only memory (Read Only Memory, ROM), and a programmable read-only storage medium (Programmable Read- Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), Electric Erasable Programmable Read-Only Memory (EEPR0M), etc.

[0083]特别地，根据本申请的实施例，上文参考流程图描述的过程可以被实现为计算机软件程序。例如，本申请的实施例包括一种计算机程序产品，其包括承载在计算机可读介质上的计算机程序，该计算机程序包含配置为执行流程图所示的方法的程序代码。在这样的实施例中，该计算机程序可以通过通信部分从网络上被下载和安装，和 /或从可拆卸介质被安装。在该计算机程序被中央处理单元 (CPU) 执行时，执行本申请的方法中限定的上述功能。 [0083] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart may be implemented as a computer software program. For example, embodiments of the present application include a computer program product including a computer program borne on a computer-readable medium, the computer program containing program code configured to execute the method shown in the flowchart. In such an embodiment, the computer program may be downloaded and installed from a network through a communication section, and / or installed from a removable medium. When the computer program is executed by a central processing unit (CPU), the above functions defined in the method of the present application are performed.

[0084]需要说明的是，本申请所述的计算机可读介质可以是计算机可读信号介质或者计算机可读存储介质或者是上述两者的任意组合。计算机可读介质例如可以但不限于是电、磁、光、电磁、红外线、或半导体的***、装置或器件，或者任意以上的组合。计算机可读存储介质的更具体的例子可以包括但不限于：具有一个或多个导线的电连接、便携式计算机磁盘、硬盘、随机访问存储介质 (RAM) 、只读存储介质 (ROM) 、可擦式可编程只读存储介质 (EPR0M或闪存) 、光纤、便携式紧凑磁盘只读存储介质 (⑶ -ROM) 、光存储介质件、磁存储介质件、或者上述的任意合适的组合。在本申请中，计算机可读存储介质可以是任何包含或存储程序的有形介质，该程序可以被指令执行***、装置或者器件使用或者与其结合使用。而在本申请中，计算机可读的信号介质可以包括在基带中或者作为载波一部分传播的数据信号，其中承载了计算机可读的程序代码。这种传播的数据信号可以采用多种形式，包括但不限于电磁信号、光信号或上述的任意合适的组合。计算机可读的信号介质还可以是计算机可读存储介质以外的任何计算机可读介质，该计算机可读介质可以发送、传播或者传输配置为由指令执行***、装置或者器件使用或者与其结合使用的程序。计算机可读介质上包含的程序代码可以用任何适当的介质传输，包括但不限于：无线、电线、光缆、 RF等等，或者上述的任意合适的组合。 [0084] It should be noted that the computer-readable medium described in this application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the two. The computer-readable medium may be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access storage media (RAM), read-only storage media (ROM), erasable Type programmable read-only storage medium (EPR0M or flash memory), optical fiber, portable compact disk read-only storage medium (CD-ROM), optical storage medium piece, magnetic storage medium piece, or any suitable combination of the foregoing. In this application, a computer-readable storage medium may be any tangible medium containing or storing a program, and the program may be used by or in combination with an instruction execution system, apparatus, or device. In this application, a computer-readable signal medium may include a data signal that is included in baseband or propagated as part of a carrier wave, and which carries computer-readable program code. Such a propagated data signal may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. The computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium. The computer-readable medium may be A program configured to be sent, propagated, or transmitted for use by or in combination with an instruction execution system, device, or device. Program code embodied on a computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0085]可以以一种或多种程序设计语言或其组合来编写配置为执行本申请的操作的计算机程序代码，所述程序设计语言包括面向对象的程序设计语言一诸如 Java、 Smal ltalk、 C++，还包括常规的过程式程序设计语言一诸如” C”语言或类似的程序设计语言。程序代码可以完全地在用户计算机上执行、部分地在用户计算机上执行、作为一个独立的软件包执行、部分在用户计算机上部分在远程计算机上执行、或者完全在远程计算机或服务器上执行。在涉及远程计算机的情形中，远程计算机可以通过任意种类的网络：包括局域网 (LAN)或广域网 (WAN)—连接到用户计算机，或者，可以连接到外部计算机 (例如利用因特网服务提供商来通过因特网连接) 。 [0085] The computer program code configured to perform the operations of the present application may be written in one or more programming languages or combinations thereof, the programming languages including an object-oriented programming language such as Java, Smalltalk, C ++ It also includes conventional procedural programming languages such as "C" or similar programming languages. The program code can be executed entirely on the user's computer, partly on the user's computer, as an independent software package, partly on the user's computer, partly on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to a user's computer through any kind of network: including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (such as through the Internet using an Internet service provider) Connection).

[0086] 附图中的流程图和框图，图示了按照本申请各种实施例的系统、方法和计算机程序产品的可能实现的体系架构、功能和操作。在这点上，流程图或框图中的每个方框可以代表一个模块、程序段、或代码的一部分，该模块、程序段、或代码的一部分包含一个或多个配置为实现规定的逻辑功能的可执行指令。上述具体实施例中有特定先后关系，但这些先后关系只是示例性的，在具体实现的时候，这些步骤可能会更少、更多或执行顺序有调整。即在有些作为替换的实现中，方框中所标注的功能也可以以不同于附图中所标注的顺序发生。例如，两个接连地表示的方框实际上可以基本并行地执行，它们有时也可以按相反的顺序执行，这依所涉及的功能而定。也要注意的是，框图和 /或流程图中的每个方框、以及框图和 /或流程图中的方框的组合，可以用执行规定的功能或操作的专用的基于硬件的***来实现，或者可以用专用硬件与计算机指令的组合来实现。 [0086] The flowchart and block diagrams in the accompanying drawings illustrate the architecture, functions, and operations of possible implementations of systems, methods, and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a portion of a code, which module, program segment, or portion of the code contains one or more logic functions configured to implement a specified logic function. Executable instructions. In the above specific embodiments, there is a specific sequence relationship, but these sequence relationships are only exemplary. In specific implementation, these steps may be fewer, more or the execution order may be adjusted. That is, in some alternative implementations, the functions marked in the boxes may occur in a different order than those marked in the drawings. For example, two blocks represented one after the other may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented in a dedicated hardware-based system that performs the specified function or operation. Or, it can be implemented by a combination of dedicated hardware and computer instructions.

[0087]描述于本申请实施例中所涉及到的单元可以通过软件的方式实现，也可以通过硬件的方式来实现。所描述的单元也可以设置在处理器中，例如，可以描述为：一种处理器包括需求目标确定单元、特征提取单元、筛选单元、推荐单元。其中： [0088]需求目标确定单元，配置为确定用户的物理位置以及用户的需求目标； [0087] The units described in the embodiments of the present application may be implemented in a software manner, or may be implemented in a hardware manner. The described unit may also be provided in a processor, for example, it may be described as: A processor includes a demand target determination unit, a feature extraction unit, a screening unit, and a recommendation unit. among them: [0088] a demand target determination unit configured to determine a physical location of the user and a demand target of the user;

[0089]特征提取单元，配置为确定配置有位置标注的多个图像，并从所述多个图像中提取出特征成像元素； [0089] a feature extraction unit configured to determine a plurality of images configured with position annotations, and extract a feature imaging element from the plurality of images;

[0090]筛选单元，配置为根据所述特征成像元素，从所述多个图像中筛选出关联于所述需求目标的图像； [0090] a screening unit configured to screen out images associated with the demand target from the plurality of images according to the characteristic imaging element;

[0091]推荐单元，配置为根据关联于所述需求目标的图像中配置的位置标注以及所述物理位置进行资源推荐。 [0091] a recommendation unit configured to perform resource recommendation according to a position label configured in an image associated with the demand target and the physical position.

[0092]其中，这些单元的名称在某种情况下并不构成对该单元本身的限定，例如，需求目标确定单元还可以被描述为“确定用户的物理位置以及用户的需求目标的单元” 。 [0092] Among them, the names of these units do not constitute a limitation on the unit itself in some cases. For example, the demand target determination unit may also be described as a “unit that determines the physical location of the user and the user ’s demand target”.

[0093]作为另一方面，本申请还提供了一种计算机可读介质，其上存储有计算机程序，该程序被处理器执行时实现如上述任一实施例中所描述的方法。 [0093] As another aspect, the present application also provides a computer-readable medium on which a computer program is stored, and the program is executed by a processor to implement a method as described in any one of the foregoing embodiments.

[0094]作为另一方面，本申请还提供了一种计算机可读介质，该计算机可读介质可以是上述实施例中描述的装置中所包含的；也可以是单独存在，而未装配入该装置中。上述计算机可读介质承载有一个或者多个程序，当上述一个或者多个程序被该装置执行时，使得该装置：确定用户的物理位置以及用户的需求目标；确定配置有位置标注的多个图像，并从所述多个图像中提取出特征成像元素；根据所述特征成像元素，从所述多个图像中筛选出关联于所述需求目标的图像；根据关联于所述需求目标的图像中配置的位置标注以及所述物理位置进行资源推荐。 [0094] As another aspect, the present application further provides a computer-readable medium, which may be included in the device described in the foregoing embodiments; or may exist separately without being assembled into the device. Device. The computer-readable medium carries one or more programs, and when the one or more programs are executed by the device, the device causes the device to: determine a user's physical location and a user's demand target; determine a plurality of images configured with position annotations And extracting feature imaging elements from the plurality of images; filtering images associated with the demand target from the plurality of images according to the feature imaging elements; and according to the images associated with the demand target The configured position label and the physical position are used for resource recommendation.

[0095]在本申请的各种实施方式中所使用的表述“第一”、 “第二”、 “所述第一”或“所述第二”可修饰各种部件而与顺序和 /或重要性无关，但是这些表述不限制相应部件。以上表述仅配置为将元件与其它元件区分开的目的。例如，第一用户设备和第二用户设备表示不同的用户设备，虽然两者均是用户设备。例如，在不背离本申请的范围的前提下，第一元件可称作第二元件，类似地，第二元件可称作第一元件。 [0095] The expressions "first", "second", "the first", or "the second" used in the various embodiments of the present application may modify various components with sequence and / or Importance is irrelevant, but these expressions do not limit the corresponding components. The above expression is only configured for the purpose of distinguishing the element from other elements. For example, the first user equipment and the second user equipment represent different user equipments, although both are user equipments. For example, without departing from the scope of the present application, a first element may be referred to as a second element, and similarly, a second element may be referred to as a first element.

[0096]当一个元件（例如，第一元件）称为与另一元件（例如，第二元件） “（可操作地或可通信地）联接”或“（可操作地或可通信地）联接至” 另一元件（例如，第二元件）或“连接至”另一元件（例如，第二元件）时，应理解为该一个元件直接连接至该另一元件或者该一个元件经由又一个元件（例如，第三元件）间接连接至该另一个元件。相反，可理解，当元件（例如，第一元件）称为“直接连接”或“直接联接”至另一元件（第二元件）时，则没有元件（例如，第三元件）***在这两者之间。 [0096] When an element (eg, a first element) is referred to as being "(operably or communicably) coupled" or "(operably or communicably) coupled to another element (eg, a second element) To or "connected to" another element (e.g., a second element), It should be understood that the one element is directly connected to the other element or the one element is indirectly connected to the other element via another element (eg, a third element). On the contrary, it can be understood that when an element (for example, the first element) is called "directly connected" or "directly coupled" to another element (the second element), no element (for example, the third element) is inserted between the two elements. Between people.

[0097] 以上描述仅为本申请的较佳实施例以及对所运用技术原理的说明。本领域技术人员应当理解，本申请中所涉及的发明范围，并不限于上述技术特征的特定组合而成的技术方案，同时也应涵盖在不脱离上述发明构思的情况下，由上述技术特征或其等同特征进行任意组合而形成的其它技术方案。例如上述特征与本申请中公开的（但不限于）具有类似功能的技术特征进行互相替换而形成的技术方案。 [0097] The above description is only a preferred embodiment of the present application and an explanation of the applied technical principles. Those skilled in the art should understand that the scope of the invention involved in this application is not limited to the technical solution of the specific combination of the above technical features, but also covers the above technical features or Other technical solutions formed by arbitrarily combining their equivalent features. For example, a technical solution formed by replacing the above features with technical features disclosed in this application (but not limited to) with similar functions.

Claims

权利要求书 Claim

1.一种资源推荐方法，其特征在于，包括： A resource recommendation method, comprising:

确定用户的物理位置以及用户的需求目标； Determine the physical location of the user and the needs of the user;

确定配置有位置标注的多个图像，并从所述多个图像中提取出特征成像元素； Determining a plurality of images configured with position annotations, and extracting feature imaging elements from the plurality of images;

根据所述特征成像元素，从所述多个图像中筛选出关联于所述需求目标的图像； Filtering out, from the plurality of images, images associated with the demand target according to the characteristic imaging element;

根据关联于所述需求目标的图像中配置的位置标注以及所述物理位置进行资源推荐。 The resource recommendation is performed according to the position label configured in the image associated with the demand target and the physical position.

2.根据权利要求 1所述的方法，其特征在于，确定用户的物理位置以及用户的需求目标包括：根据对用户输入的解析结果，确定用户的物理位置以及用户的需求目标。 The method according to claim 1, wherein determining the user's physical location and the user's demand target comprises: determining the user's physical location and the user's demand target according to the analysis result of the user input.

3.根据权利要求 2所述的方法，其特征在于，所述用户输入为文本输入或者语音输入中的至少一种。 The method according to claim 2, wherein the user input is at least one of text input or voice input.

4.根据权利要求 2所述的方法，其特征在于，还包括：通过配置的输入接口，捕获所述用户输入。 The method according to claim 2, further comprising: capturing the user input through a configured input interface.

5.根据权利要求 1所述的方法，其特征在于，还包括：对所有图像进行解析，以确定配置有位置标注的图像。 The method according to claim 1, further comprising: parsing all images to determine an image configured with a position label.

6.根据权利要求 1所述的方法，其特征在于，还包括：对所述多个图像进行增强识别处理，以从所述多个图像中提取出特征成像元素。 The method according to claim 1, further comprising: performing enhanced recognition processing on the plurality of images to extract a characteristic imaging element from the plurality of images.

7.根据权利要求 6所述的方法，其特征在于，根据所述特征成像元素，从所述多个图像中筛选出关联于所述需求目标的图像包括：根据预先建立的特征库与所述特征成像元素，从所述多个图像中筛选出关联于所述需求目标的图像。 7. The method according to claim 6, wherein filtering out the images associated with the demand target from the plurality of images according to the feature imaging element comprises: according to a pre-established feature database and the feature database. 8. A feature imaging element selects an image associated with the demand target from the plurality of images.

8.根据权利要求 7所述的方法，其特征在于，还包括：基于神经网络预先建立特征库。 The method according to claim 7, further comprising: pre-establishing a feature library based on a neural network.

9.根据权利要求 7所述的方法，其特征在于，根据预先建立的特征库与所述特征成像元素，从所述多个图像中筛选出关联于所述需求目标的图像包括，根据预先建立的特征库与所述特征成像元素进行全局定位和局部定位，以从所述多个图像中筛选出关联于所述需求目标的图像。 9. The method according to claim 7, wherein filtering out the images associated with the demand target from the plurality of images according to a pre-established feature library and the feature imaging element comprises: The feature library performs global positioning and local positioning with the feature imaging element to filter out images associated with the demand target from the multiple images.

10. 根据权利要求 l所述的方法，其特征在于，根据关联于所述需求目标的图像中配置的位置标注以及所述物理位置进行资源推荐包括：根据关联于所述需求目标的图像中配置的位置标注以及所述物理位置生成推荐队列，根据推荐队列中资源的推荐优先级从高低的顺序资源推荐。 10. The method according to claim 1, wherein performing resource recommendation based on the position label configured in the image associated with the demand target and the physical location comprises: configuring according to the image associated with the demand target. And generating a recommendation queue according to the position label of the physical location and the physical location, and recommending resources from high to low according to the recommendation priority of the resources in the recommendation queue.

11. 一种资源推荐装置，其特征在于，包括： 11. A resource recommendation device, comprising:

第一程序单元，用于确定用户的物理位置以及用户的需求目标；第二程序单元，用于确定配置有位置标注的多个图像，并从所述多个图像中提取出特征成像元素； A first program unit configured to determine a user's physical location and a user's demand target; a second program unit configured to determine a plurality of images configured with position annotations, and extracting feature imaging elements from the plurality of images;

第三程序单元，用于根据所述特征成像元素，从所述多个图像中筛选出关联于所述需求目标的图像； A third program unit, configured to select, based on the characteristic imaging element, an image associated with the required target from the multiple images;

第四程序单元，用于根据关联于所述需求目标的图像中配置的位置标注以及所述物理位置进行资源推荐。 A fourth program unit is configured to perform resource recommendation according to a position label configured in an image associated with the demand target and the physical position.

12. —种电子设备，包括： 12. — An electronic device, including:

一个或多个处理器； One or more processors;

计算机可读介质，用于存储一个或多个程序， Computer-readable media for storing one or more programs,

当所述一个或多个程序被所述一个或多个处理器执行，使得所述一个或多个处理器实现如权利要求 1-9中任一所述的方法。 When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1-9.

13. —种计算机可读介质，其上存储有计算机程序，其特征在于，该程序被处理器执行时实现如权利要求 1-9中任一所述的方法。 13. A computer-readable medium having stored thereon a computer program, characterized in that when the program is executed by a processor, the method according to any one of claims 1-9 is implemented.