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topics. We will also introduce the system architecture of SNS crawler engine, describe the functional blocks, and show the implementation results. The proposed SNS crawler engine can collect text data from blog, Twitter, and web sites according to the keyword, period, term, and etc. registered in advance.
This paper proposes a novel personalized news recommendation system named InfoSlim. The new system uses semantic technique to annotate news items and user preference in order to add rich metadata information into traditional keyword vector. By doing this, the similarity measure between item profile and user profile
Traditional behavior analysis based on the keywords or server log is so simple that it is difficult to meet the individual requirements of the user information search. This paper introduces the Multi-agent intelligent technology into four kinds of search behavior analysis, including the user search keywords, the
In this paper, an OntoCrawler based on the ontology-supported technique for webpage searching was proposed, in which only user entered some keywords would the system supported by domain ontology actively provide comparison and verification for those keywords so as to up-rise precision rate of webpage searching. This
service, HTML pages are parsed, stop words are removed, stemming of keywords are carried out as pre-processing steps and the result is stored in the form of inverted index. We have evaluated the performance of the proposed design specification of the crawler with indexer and found that the number of pages retrieved is
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.