{'fraction_non_alphanumeric': 0.014950166112956811, 'fraction_numerical': 0.0, 'mean_word_length': 5.626373626373627, '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}}
HYBRID RECOMMENDER SYSTEM FOR PERSONALIZED POI SELECTION

An important phase of trip planning is the selection of relevant points of interest. Many recommender systems have been developed to assist in travel planning, but only few of them take into account user’s preferences. This paper presents preliminary results of the hybrid recommender system which first, filters out the points of interest according to user preferences and second, predicts the attractiveness of unrated points of interest using a combination of expert rate, knowledge-based and collaborative filtering recommendation approach.