A Query Expansion Method Based on Multi-source Positive and Negative External Feedback Information
It is a technology of external feedback and query expansion, which is applied in network data query, text database query, digital data information retrieval, etc. It can solve problems such as small scale, increased risk of query expansion, and inability to reflect users' real query intentions well. Achieve performance improvement and reduce the effect of expansion risk
Active Publication Date: 2019-06-21
BEIJING UNIV OF TECH
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Problems solved by technology
The first method mostly uses methods such as text clustering, latent semantic indexing (LSI for short) and similarity dictionaries to expand the query. However, due to the relatively fixed composition of the local corpus and the small scale, it cannot well reflect the real user experience. query intent
The second method often uses public data resources such as WordNet and Wiki-pedia as external extension sources, which can express user queries in more detail, but ambiguity and error information will inevitably be introduced in the process of introducing external information, increasing the query expansion. risk
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[0040] Such as figure 1 As shown, the embodiment of the present invention provides a query expansion method based on multi-source positive and negative external feedback information, including the following steps:
[0041] Step (1) Get Tweets blog posts
[0042] Obtain Tweets blog post, which consists of two parts: number and text
[0043] Step (2) Obtain user interest words
[0044] The user interest file consists of three parts: number, query word, and interest description, from which the user query word is parsed as the user interest word.
[0045] Step (3) Tweets preprocessing
[0046] Step (3.1) filters non-English Tweets and Tweets that are less than two words in length.
[0047] Step (3.2) removes punctuation marks, numbers, and URLs in Tweets, and converts all letters to lowercase;
[0048] Step (3.3) segment Tweets based on simple spaces and remove stop words. Different word forms in English are regarded as different words, for example, "organ" and "organs" are r...
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The invention discloses a query expansion method based on multisource positive and negative external feedback information. An expansion risk is reduced by introducing a regular constraint into a processing of fusing external query information; therefore, new query can be rapidly and effectively built, and thus a search result more conforms to user needs. Compared with a traditional feedback search method, the technical scheme of the method provided by the invention has the effect of significantly enhanced performance.
Description
technical field [0001] The invention belongs to the field of word information processing, in particular to a query expansion method based on multi-source positive and negative external feedback information. Background technique [0002] The emergence of social media (such as Twitter, Facebook, Google+) has profoundly changed the way people produce and consume information. The biggest difference between him and mainstream news media websites (such as CNN or nytimes) is that people in social networks are information Consumers are also producers of information. Since the sources of information in social networks are not only diverse but also chaotic, this increases the difficulty for users to obtain information. [0003] The traditional method query expansion methods are mainly divided into two types according to the different expansion sources: 1) local query expansion methods using local query document sets as the expansion source; 2) global expansion methods using external k...
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IPC IPC(8): G06F16/951G06F16/953G06F16/9535G06F16/332G06F16/33
CPCG06F16/3326G06F16/3344G06F16/951
Inventor 杨震李超阳
Owner BEIJING UNIV OF TECH