Recommendation method and device of text related subject
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A text-related and topic-based technology, applied in the field of Internet applications, can solve the problems of unsatisfied and unrecommended extended reading needs
Active Publication Date: 2013-06-05
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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This form of recommendation results obtained through retrieval can only meet the user's comparative reading needs, and can only r
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Embodiment 1
[0089] figure 1 is a flow chart of a recommendation method for text-related topics provided in this embodiment, such as figure 1 As shown, the method includes:
[0090] Step S101, acquire text content, perform word segmentation on the text content to obtain terms (Term), calculate the weight of each Term, and determine the central word and auxiliary word of the text content according to the weight of Term.
[0091] Users share knowledge or communicate with other users by posting text content of knowledge or questions on the question-and-answer platform, or use search engines to input search terms (query) to search for knowledge and find answers to questions. According to these text content or query, get the recommended content of related topics.
[0092] figure 2 It is the processing flowchart of determining the central word in this embodiment, such as figure 2 As shown, the process specifically includes the following steps:
[0093] Step S201, acquiring text content. ...
Embodiment 2
[0159] Figure 5 The recommended device structure diagram for the text-related topics provided in this embodiment, such as Figure 5 As shown, the device includes:
[0160] The core word acquisition module 10 is used to acquire text content, perform word segmentation on the text content to obtain term Term, calculate the weight of each Term, and determine the core word and auxiliary word of the text content according to the weight of Term.
[0161] Users share knowledge or communicate with other users by posting text content of knowledge or questions on the question-and-answer platform, or use search engines to input query to search for knowledge and find answers to questions. According to these text content or query, get the recommended content of related topics.
[0162] Specifically, the core word acquisition module 10 includes:
[0163] A text acquiring unit 101, configured to acquire text content.
[0164] The text content entered by users on the Q&A platform includes...
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Abstract
The invention provides a recommendation method and a device of a text related subject. The recommendation method comprises the following steps: S1. acquiring content of a text, obtaining a term by carrying out the word segmentation on the content of the text, calculating the weight each term and confirming a head-word and an auxiliary word of the content of the text according to the weight of the term; S2. using the head-word to carry out a matching in an existing subject collection, using the subject which contains the head-word as a candidate subject to form a candidate subject collection; S3. calculating the comprehensive weight of each candidate subject according to corresponding resources of the candidate subject and the relativity between the candidate subject and the auxiliary word; and S4. using the candidate subject that the comprehensive weight meets preset requirements as a recommended related subject. Compared with the prior art, the recommendation method and the device of the text related subject can achieve the recommendation of extensive reading requirements of users, so that recommending results are more accurate and the recommendation method and the device of the text related subject is closer to the using habit of the users and meets the extensive reading requirements of the related subject.
Description
【Technical field】 [0001] The invention relates to the technical field of Internet applications, in particular to a method and device for recommending text-related topics. 【Background technique】 [0002] With the continuous development of information and network technology, online interactive question-and-answer platforms, such as Baidu Zhizhi, Sina Aiwen, Google Q&A, Soso Ask, Yahoo Knowledge Hall, etc., provide netizens with a platform for interactive communication. Users can use knowledge search to find answers to questions they encounter in daily life, study or profession. Users can also communicate with other people who share common interests, ask questions, find answers, help each other, and share knowledge. [0003] In the question-and-answer platform, there is usually a demand for extended reading. Through analysis, it is found that users' extended reading can be divided into two types: comparative reading demand and extended reading demand. Among them, the need for...
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