Showing 4 open source projects for "computing"

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    Letterboxd Recommendations

    Letterboxd Recommendations

    Scraping publicly-accessible Letterboxd data for movie recommendations

    ...All movies in the full dataset that the user has not rated are run through the model for predicted scores and the items with the top predicted scores are returned. Due to constraints in time and computing power, the maximum sample size that a user is allowed to select is 500,000 samples, though there are over five million ratings in the full dataset from the top 4000 Letterboxd users alone.
    Downloads: 0 This Week
    Last Update:
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  • 2

    newsscrape

    news headline collecting for analysis in determining the category

    ... - Each news headline is matched against Google News category like Entertainment, Sports, etc. - Called from scheduler to collect this data at 5 minutes interval and be accumulated in a database. - It contains R statistical computing scripts to learn the pattern on words in the headline resulting a particular category. - To test its accuracy in predicting the category from a news headline, select a news title from other sources - e.g. http://rss.news.yahoo.com/rss/entertainment - and incorporate it into the R script for outputting a news category it assumes on the news title.
    Downloads: 0 This Week
    Last Update:
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  • 3
    Aracnis is a Java based framework for building distributed web spiders. These spiders can be used to accomplish a variety of tasks, for example, screen-scraping and link integrity checking.
    Downloads: 0 This Week
    Last Update:
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  • 4
    Web Textual eXtraction Tools C++ Parallel web crawler, noun phrase idenification, Multi-lingual Part of Speech Tagging, Tarjan's Algorithm, Co-RelationShip Mappings...
    Downloads: 0 This Week
    Last Update:
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