Time-based microblog document expansion method oriented to microblog retrieval

Abstract

The invention discloses a time-based microblog document expansion method oriented to microblog retrieval, and relates to the technical field of microblog retrieval. The microblog document expansion method aims to solve the problem that the improvement of microblog retrieval performance is limited since a function on estimating a microblog document model by the document expansion can be weakened due to adverse effects brought to the document expansion by the short microblog. The time-based microblog document expansion method utilizes the time characteristic expansion document of a relevant microblog, and puts forward the time-based microblog document model. The model comprehensively considers the characteristics of the explosiveness, which is integrally presented on an aspect of time, of the relevant microblog and the adjacency, which is presented on an aspect of time, of an individual, utilizes the distribution of words on a microblog in an outbreak period and the microblog which is in near neighbor with the microblog in the outbreak period to obtain the weight of a document expansion word, and selects a query expansion word by a method based on machine learning so as to estimate an accurate document model. The method can better avoid influence brought to the document expansion by the short microblog.

Description

technical field [0001] The invention relates to a microblog document extension method and relates to the technical field of microblog retrieval. Background technique [0002] With the rapid development of social media and mobile Internet, the processing technology of short text information flow represented by Weibo has become more and more important. In the face of massive microblogs, numerous users and their diverse information needs, short-text social media retrieval has become an indispensable and important part of Internet applications. [0003] The main problem of short text retrieval is that the content is too small. For example, under normal circumstances, a Weibo consists of 140 characters. This makes it difficult for microblogs related to the query to be retrieved only by matching the words in the original microblog with the query words. How to add words related to Weibo to the original Weibo, enrich the Weibo document model, and alleviate the problem of word mism...

AI Technical Summary

Problems solved by technology

[0008] In order to solve the problem that short microblogs have adverse effects on document expansion, which will weaken the effect of document expansion on estimating microblog document models, thereby limiting the improvement of microblog retrieval performance, the present invention further provides a microblog retrieval-oriented Time-based microblog document extension method

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