ITQ algorithm-based Indonetic similar news recommendation method
A recommendation method and news technology, applied in the computer field, can solve the problems of no more consideration information, high overhead, low utilization rate of news information, etc., and achieve the effect of good effect, small dimension, and reduction of calculation amount and memory overhead.
Active Publication Date: 2019-07-09
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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The invention provides an ITQ algorithm-based Indonesian similar news recommendation method, which comprises the following steps of: firstly, extracting a title and a text in each Indonesian news, andstoring the title and the text in fields corresponding to the Indonesian news; training a Word2Vec model according to the Indonesian news data to obtain a news-to-vector mapping dictionary; obtaininga binary code of the feature vector under the optimal rotation matrix through an ITQ algorithm; calculating an n-bit signature composed of the binary number of each Indonesian news in the currently browsed Indonesian news and candidate data set; calculating the Hamming distance between the currently browsed news and each Indonesian news in the candidate data set; and performing sorting accordingto the Hamming distance, and selecting the first m Indonesian news with the minimum distance in the candidate data set as recommended news. According to the method, the technical problem of balance between the news recommendation effect and the calculated amount based on the content is solved. The method is high in flexibility and can be suitable for various language environments.
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