Information processing method and device

Abstract

The embodiment of the invention provides an information processing method and device. The method comprises the following steps that: obtaining various categories and the classification rule of first information, wherein each category of classification corresponds to one code; according to the classification rule, carrying out classification on the first information of each object; according to the code corresponding to the category to which the object relates, generating the total code of the object; and clustering all total codes to finish information processing. An important step of data mining is data clustering; in order to cluster objects on a network information platform, the embodiment of the invention carries out processing to obtain a plurality of codes of each object, and the plurality of codes of each object are integrated so as to obtain the total code of each object. Therefore, clustering is implemented for numerous total codes so as to realize object clustering to greatly improve data mining efficiency on the network information platform and save information processing time.

Description

technical field

[0001] The invention relates to the technical field of network data mining, in particular to an information processing method and device. Background technique

[0002] With the continuous development of information technology, the Internet has penetrated into various fields, and a large number of online information platforms such as shopping platforms, food delivery platforms, and taxi-hailing platforms have emerged. There are many activities (such as various promotional activities) on these network information platforms, and the generated data (that is, activity description information) is often of various types and a large amount of information. It is not easy to dig out valuable content from them.

[0003] In the existing technology, in order to dig out valuable content from a large number of data, it is often necessary to use manual research and analysis, and finally extract valuable information after data screening. In the process of implementing the pr...

Examples

Embodiment 2

[0086] This embodiment is based on the first embodiment, and is further deepened or optimized on the basis of the first embodiment.

[0087] In this embodiment, the encoding may adopt a binary bit encoding manner.

[0088] As an example, a Type value could be set for each activity classification as follows:

[0089] Table 1

[0090]

[0091] The Type value is the binary bit corresponding to the activity category. For example, the full discount activity corresponds to the first bit from the right of the code, and the activity code value is 1, and the discount activity corresponds to the third bit, and the activity code is 4.

[0092] Further, activity priority can also be defined. Depending on the need and the importance of the activity, the priority of different activities can be different. For example, it can be defined that low-bit activities have a high priority, and high-bit activities have a low priority. During subsequent clustering, the weight of low-bit activitie...

Embodiment 3

[0105] image 3 It is a schematic diagram of an information processing device according to an exemplary embodiment of the present invention. This device can be used in devices such as personal computers and servers, for example.

[0106] see image 3 As shown, the device may include:

[0107] The classification preparation module 301 is configured to acquire multiple classifications and classification rules of the first information, where each classification corresponds to a code.

[0108] For various network information platforms, such as shopping platforms, food delivery platforms, taxi-hailing platforms, etc., activities often occur on these network information platforms, such as various promotional activities, or marketing activities. Marketing activities usually refer to preferential activities launched by merchants to stimulate user consumption such as full discounts, instant discounts, instant discounts for new users, discounts, special delivery, and free delivery fe...

technical field

[0001] The invention relates to the technical field of network data mining, in particular to an information processing method and device. Background technique

[0002] With the continuous development of information technology, the Internet has penetrated into various fields, and a large number of online information platforms such as shopping platforms, food delivery platforms, and taxi-hailing platforms have emerged. There are many activities (such as various promotional activities) on these network information platforms, and the generated data (that is, activity description information) is often of various types and a large amount of information. It is not easy to dig out valuable content from them.

[0003] In the existing technology, in order to dig out valuable content from a large number of data, it is often necessary to use manual research and analysis, and finally extract valuable information after data screening. In the process of implementing the pr...

Examples

Embodiment 2

[0086] This embodiment is based on the first embodiment, and is further deepened or optimized on the basis of the first embodiment.

[0087] In this embodiment, the encoding may adopt a binary bit encoding manner.

[0088] As an example, a Type value could be set for each activity classification as follows:

[0089] Table 1

[0090]

[0091] The Type value is the binary bit corresponding to the activity category. For example, the full discount activity corresponds to the first bit from the right of the code, and the activity code value is 1, and the discount activity corresponds to the third bit, and the activity code is 4.

[0092] Further, activity priority can also be defined. Depending on the need and the importance of the activity, the priority of different activities can be different. For example, it can be defined that low-bit activities have a high priority, and high-bit activities have a low priority. During subsequent clustering, the weight of low-bit activitie...

Embodiment 3

[0105] image 3 It is a schematic diagram of an information processing device according to an exemplary embodiment of the present invention. This device can be used in devices such as personal computers and servers, for example.

[0106] see image 3 As shown, the device may include:

[0107] The classification preparation module 301 is configured to acquire multiple classifications and classification rules of the first information, where each classification corresponds to a code.

[0108] For various network information platforms, such as shopping platforms, food delivery platforms, taxi-hailing platforms, etc., activities often occur on these network information platforms, such as various promotional activities, or marketing activities. Marketing activities usually refer to preferential activities launched by merchants to stimulate user consumption such as full discounts, instant discounts, instant discounts for new users, discounts, special delivery, and free delivery fe...

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