{'fraction_non_alphanumeric': 0.012313104661389622, 'fraction_numerical': 0.0, 'mean_word_length': 4.835897435897436, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Web page template design using interactive genetic algorithm

Nowadays there are many new web sites occur daily on the Internet and the demand for web page creation and design increases. The problem is it takes time to create and design the web pages. Moreover, designing web page templates to satisfy user preference is difficult. In order to reduce time and allow users to interact with the design process, we propose the web application which applies interactive genetic algorithm to generate web page templates and allow users to get involved with the system. The proposed algorithm evolves HTML files for the content and CSS style sheets for a presentation format. Users can rate each section of a web page template according to their preferences. The given scores feed back to the system and the generated template is evolved. The experiments are conducted by assuming user's preferential criteria. We designed score-rules to test the algorithm whether it can create web page templates to satisfy the criteria or not. The experimental results show that the proposed algorithm can generate web page templates that meet the criteria.