A Personalized News Clue Recommendation Method Based on Intelligent Document Analysis

Abstract

The clue automatic recommendation system based on the reporter's work attributes can extract the corresponding tags and store them in the system by intelligently analyzing the clues, newspaper titles, manuscripts and broadcasting series of clue information in the news manuscript system; collect the information of the whole network through the Internet collection system; At the same time, combined with the manuscript system of TV stations or radio stations, Autonomy has created a new information layer: IDOL, an intelligent information operation layer, which automatically unifies various information sources and various file formats under an intelligent information operating system. This intelligent information operating system It can provide a variety of information operation functions, including the implementation of automatic linking of information, automatic classification of information, content summary, and information clustering.

Description

technical field

[0001] The invention relates to information release technology, in particular to an automatic recommendation of clues based on cloud reporter work attributes (journalism work attributes). Background technique

[0002] Big data has entered every aspect of human society and life. The media industry is the main force of "information consumption", which itself has a large amount of video, audio and user data. Under the trend of closer integration with the Internet, it has become another main battlefield for big data applications. There are three main sources of media big data:

[0003] 1. User behavior data generated by new media services

[0004] 2. Media resource data accumulated by traditional radio and television stations for a long time

[0005] 3. Media big data from the Internet

[0006] The strategic significance of media big data lies not in the mastery of huge data information, but in the professional processing of these meaningful data. For a lon...

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