{'fraction_non_alphanumeric': 0.017114914425427872, 'fraction_numerical': 0.0, 'mean_word_length': 5.40625, '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}}
Improving system recommendations using localization feedbacks

In this paper we described UbiquiTO, an agent-based system that acts as an expert tourist guide for mobile users, providing different information according to the device, the user and the context. The system uses feedbacks coming from localization to acquire the knowledge required to provide location-based services and to update the user model.