Online community interaction method and device and online community platform

Abstract

The invention relates to an online community interaction method and device and an online community platform. The method comprises the following steps: digging and classifying a current question raised by a questioner on the online community platform to obtain classification information; according to the classification information, obtaining historical questions corresponding to classification; calculating a similarity between the historical questions and the current question, calculating to obtain the similarity between answers corresponding a preset quantity of historical question which exhibit the higher similarity with the question and the current question, and taking the answer corresponding to the historical question which exhibits the highest similarity as a smart recommendation answer; and pushing the smart recommendation answer to the questioner. The questioner can quickly obtain the answer of the question, and the question matching accuracy of an ask-answer community and user activeness are improved. In addition, the user can obtain the answer of the question through on-line help seeking so as to further improve question answering efficiency, interaction among users can be enhanced, and the user activeness of ask-answer community is further improved.

Description

Technical field [0001] The present invention relates to the field of Internet technology, in particular to a network community interaction method, device and network community platform. Background technique [0002] In the Internet, some question-and-answer communities (such as QQ, Weibo, Friend Network, etc.) can provide question-and-answer services. Users can ask their own questions in the question-and-answer community, and the question-and-answer community provides corresponding answers. For the Internet community, the subject of questions covers women, entertainment, automobiles, sports, culture, life, society, current affairs, history, literature, emotions, tourism, constellations and other fields. [0003] Usually users want to get answers quickly after asking questions. At present, although some Q&A communities can quickly recommend answers, most of them perform keyword matching based on the question stem. The matching accuracy is low, which makes user satisfaction relative...

AI Technical Summary

Problems solved by technology

At present, although some question-and-answer communities can quickly recommend answers, most of them carry out keyword matching based on the question stem. The matching accuracy is low, which leads to low user satisfaction and low question coverage.

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