Picture recommending method, apparatus and system
A recommendation method and picture technology, applied in the field of communication, can solve the problems of affecting the picture recommendation effect, statistics are easy to fail, and the matching rate is low, so as to achieve the effect of improving the effect, avoiding the low matching rate, and improving the matching rate
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Example Embodiment
[0031] Example one
[0032] This embodiment will be described from the perspective of a recommending device for a picture, and the recommending device for a picture can be specifically integrated in a server and other equipment.
[0033] A method for recommending pictures, including: obtaining picture information of a current picture; obtaining a corresponding aggregated tag set according to the picture information; selecting a picture according to the aggregated tag set to generate a candidate pool of recommended pictures; calculating the current picture and the candidate pool The similarity of each picture in, the picture whose similarity exceeds the preset condition is regarded as the recommended picture, and the recommended picture is recommended.
[0034] Such as Figure 1b As shown, the specific process of the recommended method of the picture can be as follows:
[0035] 101. Obtain picture information of the current picture.
[0036] For example, if the user browses, searches, o...
Example Embodiment
[0062] Embodiment two
[0063] According to the method described in the first embodiment, an example will be given below for further detailed description.
[0064] In this embodiment, the description will be given by taking the specific integration of the picture recommendation device in the server as an example.
[0065] Such as figure 2 As shown, a picture recommendation method, the specific process can be as follows:
[0066] 201. The server obtains the original label of each picture.
[0067] For example, it is possible to collect the picture information of each picture, obtain the text description of the picture from the picture information, and perform word segmentation on the text description to determine the original tag.
[0068] For example, semantic signs such as "basketball, NBA" can be abstracted from the text "James assists, all shots in this field".
[0069] 202. Based on the semantic model, the server obtains original tags with the same, similar or related semantics to ob...
Example Embodiment
[0093] Embodiment three
[0094] In order to better implement the above method, an embodiment of the present invention also provides a picture recommendation device, such as Figure 3a As shown, the device for recommending the picture may include an information acquisition unit 301, a collection acquisition unit 302, a selection unit 303, a calculation unit 304, and a recommendation unit 305, as follows:
[0095] The information acquiring unit 301 is configured to acquire picture information of the current picture.
[0096] Wherein, the picture information may include the name and text description of the picture, and may also include information such as the size, format, and / or source address of the picture.
[0097] The collection obtaining unit 302 is configured to obtain a corresponding aggregation tag collection according to the picture information.
[0098] The selecting unit 303 is configured to select pictures according to the aggregation tag set to generate a candidate pool of r...
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