Ranking Learning Algorithm of Information Retrieval based on WeChat Public Numbers

Zekun Song, Lvyang Zhang, Tao Liu, Ying Chen · 2017

On the basis of obtaining the data of mass WeChat public1, in order to improve the operational efficiency and quality of WeChat public number. On the basis of the retrieval technology, the quality evaluation model of WeChat public number was established. A sort learning algorithm based on model retrieval is proposed. Use the vector space technology based on the weight of the entry position to retrieve the contents of WeChat public number, and then use the WeChat public number quality evaluation model to sort. The retrieved articles sorted data to recommend to the operator, so that the operator can be faster and more efficient to find their hope to find high quality WeChat number of public articles.

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