Device and method for optimizing search ranking of frequently asked question and answer pairs
A question-and-answer, search-request technology, applied in network data retrieval, network data indexing, other database retrieval, etc., can solve problems such as affecting accuracy and versatility, reducing the quality of the question-and-answer community, and large differences in information quality.
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[0057] Existing methods for obtaining search rankings for Q&A pairs use textual features and non-textual features to describe the questions and answers of Q&A pairs to rank Q&A pairs, or rank Q&A pairs according to the ranking of the websites to which the Q&A pairs belong. Text features mainly include text visual features (such as punctuation density, average word length, text entropy, etc.) and text content features (such as text content word ratio, interrogative word density, related word coverage, etc.), and extract Chinese automatic errors. Features (such as word density features, etc.); non-text features include user authority indicators, answer question status, answer answer time, user relationship interaction features, etc. After extracting the features of the questions and answers, a question quality prediction model and an answer quality prediction model are learned on the training set, and the output results of the two models are used to evaluate the quality of the qu...
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