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An advertisement push and big data technology, applied in the field of advertisement push based on big data, can solve the problem that the advertisement cannot meet the user's needs particularly accurately
Active Publication Date: 2017-08-29
浙江兰德纵横网络技术股份有限公司
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[0004] The present invention provides an advertisement push method based on big data to solve the problem that the advertisements pushed by the existing network cannot meet user needs particularly
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Embodiment 1
[0123] Assume that there are five web products to be promoted: washing machine, table tennis racket, notebook, hypoglycemic drug, and down jacket. They are: washing machine U1=30, table tennis racket U2=30, notebook U3=50, hypoglycemic medicine U4=60, and down jacket U5=70.
[0124] Utilize aforementioned steps S201-S206 (wherein step S203 adopts aforementioned mode 1 to implement) and steps B1-B3, there will be the following results:
[0125] The scores of the three most relevant commodity categories corresponding to each webpage commodity to be promoted are:
[0146] Assume that there are five web products to be promoted: washing machine, table tennis racket, notebook, hypoglycemic drug, and down jacket. They are: washing machine U1=30, table tennis racket U2=30, notebook U3=50, hypoglycemic medicine U4=60, and down jacket U5=70.
[0147] Utilize aforementioned steps S201-S210 (wherein step S203 adopts aforementioned method 2 to implement), there will be following result:
[0148] The scores of the three most relevant commodity categories corresponding to each webpage commodity to be promoted are:
[0152] Hypoglycemic drugs (medical R4 1 =50, health R4 2 =40, health R4 3 =10),
[0153] Down jacket (clothes R5 1 =55, fashion R5 2 =30, health R5 3 =15).
[01...
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Abstract
The invention discloses an advertisement pushing method based on big data. The method comprises the steps of according to big data accumulation, determining the attention value of each to-be-generalized webpage commodity through the commodity visiting frequency, user residence time length and commodity exposure frequency of the to-be-generalized webpage commodity to a current user; determining scores of G commodity kinds with highest correlation in each to-be-generalized webpage commodity, scores of H webpage type kinds with highest correlation in a current visited webpage, and a correlation weight between each commodity kind and the webpage type kind; determining each commodity pushing total score according to the correlation weight between the commodity kind and the webpage type kind, the score of the corresponding commodity kind, the score of the webpage type kind and the attention value of the webpage commodity; performing sequencing from a highest commodity pushing total score to a lowest commodity pushing total score; and pushing the front N to-be-generalized webpage commodities in the sequencing result through preset N advertisement positions. The advertisement pushing method can realize pushing of the commodities with high interest probability of the user and realizes accurate marketing.
Description
technical field [0001] The invention relates to the technical field of big data analysis and the field of Internet advertisement delivery, in particular to a method for pushing advertisements based on big data. Background technique [0002] With the development of the Internet, product promotion through the Internet has become a new marketing method. For the majority of netizens, what is needed is precisely placed advertisements, rather than the bombardment of various types of advertisements. Too many advertisements will bring a bad web browsing experience. On the other hand, for advertisement publishers and owners, Accurately placed advertisements can save advertising costs and bring better product sales. [0003] At present, in order to better serve users and place online advertisements more accurately, a system has emerged on the Internet that records user browsing behavior and conducts simple analysis. After recording and analyzing user behavior, it guides the advertise...
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