{'fraction_non_alphanumeric': 0.026627218934911243, 'fraction_numerical': 0.0, 'mean_word_length': 5.327102803738318, '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': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
A Recommender Agent Development

We present the development of different modules from a recommender agent, an update of the algorithm for rating services; and besides, some learning rules needed to properly recommend services. Recommender agents have been a great help for users in Web’s searching processes and information retrieval. This paper’s proposal to show the development advances in a recommender agent who links agent theory, recommender systems, and virtual worlds, which becomes a highly innovative subject. Programming of diverse agent modules has been developed on Linden Language Script (LSL), Visual C#, and MySQL. Currently we have a prototype in our server.