{'fraction_non_alphanumeric': 0.020602218700475437, 'fraction_numerical': 0.0, 'mean_word_length': 5.515463917525773, '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}}
A location-aware recommender system for Tourism mobile commerce

With rapid development of the mobile commerce, exploring new applications and services for mobile environments has become a hot topic. In this paper we propose a location-aware recommender system for tourism mobile commerce service platform. Specifically, we integrate GPS into the recommender system to create a location-aware recommender system. The location-aware recommender system can recommend attractions to the customer with the customer's rating of attractions and the customer's sensitivity to location. We present the constructed approaches in this paper.