{'fraction_non_alphanumeric': 0.02278481012658228, 'fraction_numerical': 0.0, 'mean_word_length': 5.537190082644628, '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}}
PopCore : A system for Network-Centric Recommendations

In this paper we explore the idea of network-centric recommendations. In contrast to individually-oriented recommendations enabled by social network data, a network-centric approach to recommendations introduces new goals such as effective information exchange, enabling shared experiences, and supporting user-initiated suggestions in addition to conventional goals like recommendation accuracy. We are building a Facebook application, PopCore, to study how to support these goals in a real network, using recommendations in the entertainment domain. We describe the design and implementation of the system and initial experiments. We end with a discussion on a set of possible research questions and short-term goals for the system.