{'fraction_non_alphanumeric': 0.023379383634431455, 'fraction_numerical': 0.005313496280552604, 'mean_word_length': 5.28, '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}}
Conference Report: Recommender Systems in Tourism

The huge amount of information about tourism and leisure activities available on the Web has turned the preparation of a trip into a very challenging task, ripe for the application of recommender systems. Travellers are very keen on using tools that may support their decision making processes when they are planning a travel, including the choice of destination, the selection of attractions to visit, the construction of a multi-day plan, the suggestion of appropriate accommodations and restaurants, etc. Complex problems such as automated planning, semantic knowledge management, group recommendation or context-awareness have by now been heavily studied in this area [2]. The studies reported at the RecSys-2015 workshop on Tourism Recommender Systems (TouRS), briefly commented in this report, provide a glimpse of the state of the art in the field and of its main current challenges.