Ақпараттық Технологиялар Кафедрасы СӨЖ “Сlustering task
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СРС Бердіғалиев Ақниет ИС 20-11
- Бұл бет үшін навигация:
- By semantic similarity
| Logistic
A point tool for grouping small units. The procedure is carried out manually: using the optimizer, the purpose of the search procedure and the relevance of each query are determined. Although the process is long and complex, it can achieve the desired results. The accuracy and quality of such grouping directly depend on the volume of the core. The more requests are sorted, the higher the likelihood of an error: the user may get confused or distracted, or miss a word. By semantic similarity This method of grouping clusters involves the use of complex formulas and artificial intelligence. The point of the procedure is to group search queries that are similar in meaning. It should be noted that words from the same cluster may not have lexical or graphic similarity, but they must be semantically similar. The correct and most popular way of grouping clusters, the principle of which is to combine search queries into groups in accordance with the semantic database of sites that are in the top of search engine results. Among the current programs for grouping clusters, KeyClusterer, AllSubmitter and Key Collector should be noted: to work, it is enough to simply pay for a license and install the software on a computer or laptop. The speed of cluster collection will depend on the technical characteristics of the device. The principle of the method is to determine the intersection of keywords on the pages of Internet resources that are in the top. Depending on the set settings, the grouping is made in the TOP 3 or TOP 10. In order to increase the accuracy of the result and the effectiveness of the procedure, it is necessary to set a certain threshold of intersections. Young sites and landing pages are recommended to carry out a logistic grouping of the semantic core. This will allow you to get the maximum Clustering is a complex stage of website promotion and optimization, during which users often make mistakes. The most common of them is composing queries with different intents in one cluster. This is due to the fact that the user does not have an understanding of what an intent is; It is recommended to sort semantics according to commercial parameters. If the keywords do not correspond to the theme of the site, it is necessary to clean up the keywords: this will increase the accuracy of cluster collection and help get rid of problematic clusters. If there are too many keywords in one group, the reason, as a rule, is the user’s attempt to collect too large a semantic core. To increase accuracy, it is recommended to use middle or hard grouping. Especially often, when compiling a semantic core, users make mistakes in keywords: this happens when collecting a cluster manually or when incorrectly transferring words after the site’s semantics have been collected. Parsing in automatic mode, as well as exporting symbols to a clusterer, will help to avoid such an error. If a large number of duplicates and spam words are detected, the frequency of which has been reduced to zero, it is recommended to start collecting the cluster only after parsing has been carried out, with mandatory preliminary cleaning of the semantic core. жүктеу/скачать 146,4 Kb. Достарыңызбен бөлісу:
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