Big data based topic selection planning system

Abstract

The invention discloses a big data based topic selection planning system. The big data based topic selection planning system includes a data acquisition unit for acquiring associated data of book topic selection planning; a data processing and storage unit for dividing the acquired data into a real-time service data source and a basic data source according to the data timeliness demand, storing the data in a hadoop based publishing house distributed database, and uploading the date into a data mart; an analysis prediction unit including a statistic analysis platform, wherein the statistic analysis platform can perform overall analysis and prediction on the data provided by the data mart, and can provide an important reference and basis for making and modifying of topic selection planning of a publishing house. The big data based topic selection planning system uses a big data analysis technique to help a book publishing mechanism to master book market purchase trend and market hot spots, can timely update the most suitable topic ranking, can accurately master the actual demands of a reader group, can position a specific consumer group, and can provide a scientific basis for improvement of topic selection planning ability of the book publishing mechanism.

Description

technical field [0001] The invention relates to the technical field of topic selection and planning, in particular to a topic selection and planning system based on big data. Background technique [0002] At present, domestic mining of user needs is mainly carried out by a few large companies, among which the more mature and influential commercial companies are Baidu and Alibaba. Baidu's analysis product is "Baidu Index", which is a data analysis platform based on the massive behavior data of Baidu Internet users, which can provide an important basis for many corporate marketing decisions and help users optimize digital marketing campaigns. Alibaba's analysis products include "Taobao Index", "Ali Index" and so on, which mainly focus on the analysis of user needs from the perspective of e-commerce. Through this product, users can understand the huge shopping data on Taobao, know the shopping trends of Taobao, and make stores Sellers formulate marketing plans more precisely. ...

AI Technical Summary

Problems solved by technology

[0004] At present, in the process of selecting and organizing manuscripts, editors mostly rely on their past work experience or inspiration for topic selection and planning. They have not conducted too much market research themselves, and there are many qualitative analysis processes, while quantitative analysis is seriously insufficient. This method is obviously not in line with contemporary topic selection standards.

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