Feature/9 improved acquisition process of japanese tokens in contentbasedrecommenderts #11
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added 2 commits
July 1, 2025 08:13
…lities - Added EnglishTokenizer and JapaneseTokenizer classes for text tokenization. - Integrated HTML tag stripping and case normalization in EnglishTokenizer. - Implemented morphological analysis using kuromoji in JapaneseTokenizer. - Created EnglishTokenFilter and JapaneseTokenFilter for token filtering. - Developed a ProcessingPipelineFactory to create tokenization and filtering pipelines. - Enhanced ContentBasedRecommender with improved training and recommendation logic. - Added comprehensive unit tests for tokenizers, filters, and recommender functionality. - Implemented integration tests for end-to-end functionality of the recommender system.
kemsakurai
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This pull request introduces significant updates to the
ts-content-based-recommenderlibrary, enhancing modularity, multilingual support, and usability. Key changes include the implementation of a factory pattern for creating processing pipelines, the introduction of advanced token filtering options, and the migration of asynchronous methods. Additionally, the project structure has been reorganized for better maintainability, and TypeScript support has been improved.Enhancements to Architecture and Features:
EnglishTokenizer,JapaneseTokenizer) and filters (EnglishTokenFilter,JapaneseTokenFilter) for independent use. [1] [2]ProcessingPipelineFactoryto simplify the creation of processing pipelines and individual components. [1] [2]removeDuplicates,allowedPos(for Japanese), and custom stopwords. [1] [2]Improvements to API and Documentation:
trainandtrainBidirectionalmethods to be asynchronous, requiringawaitfor usage. [1] [2]Project Structure and Testing:
test/directory and fixtures tofixtures/, improving organization. [1] [2]Dependency and Version Updates:
1.6.1.These changes collectively enhance the library's functionality, usability, and maintainability, making it a more robust tool for content-based recommendation systems.
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