{'fraction_non_alphanumeric': 0.017271157167530225, 'fraction_numerical': 0.0, 'mean_word_length': 4.918367346938775, '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}}
Visualizing World-Wide Web search engine results

Most of the popular WWW search engines show the documents that match the users' queries as pages of scrolled lists. If lots of information is retrieved, this is not very user friendly. Moreover, there is no mechanism to easily determine documents linked to the retrieved documents or keywords related to the query terms. The paper presents a system that allows the user to visualize various related information for the search results. We also introduce a focus+context visualization technique for the search space of WWW queries.