{'fraction_non_alphanumeric': 0.011603375527426161, 'fraction_numerical': 0.0, 'mean_word_length': 5.162337662337662, '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 Compositional Approach to Solution Adaptation in Case-Based Reasoning and its Application to Tutoring Library

This paper presents a new approach for compositional adaptat ion and investigates its applicability for a tutoring library system. Compositional adaptation has been applied in the designed tutoring library system, since many cases at the same time can be similar to the user request, and through this way, the possibility will exist to combine the corresponding solutions (books' chapters in our case) in an efficient way yielding the final solution. Each case in the library itself is represented in terms of a presuggested set of chapters from different books in general. Such an approach to suggesting solution to the user provides a suitable ground to take into account a variety of factors such as current knowledge level and the desired status of knowledge which have not been considered sufficiently in standard library systems.