{'fraction_non_alphanumeric': 0.016260162601626018, 'fraction_numerical': 0.0, 'mean_word_length': 4.78125, '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}}
Path Dependent Information Retrieval (invited talk)

I will present an analysis of how path dependent IR is support in the Ostensive Model for retrieval. It will involve a discussion of appropriate similarity measures and an explanation of how to predict and present a choice of objects for a user in terms of the path traversed in the object (or interpretation) space.