{'fraction_non_alphanumeric': 0.022292993630573247, 'fraction_numerical': 0.0, 'mean_word_length': 5.484536082474227, '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}}
E-commerce bargain-hunting with an unBun model

First-generation comparison-shopping software tools in general have limitations in dealing with bundled products. A new generic model for e-commerce comparison-shopping, based on a logical unBundling of sellers' offerings, is presented. The model captures dominance relationship between offerings and consumer requirements and may serve as a foundation for a variety of shopping decision support software tools. The model provides a basis for defining notions of bargains and designing algorithms for searching for them. Various implications and remaining challenges are outlined.