Abstract: In 2018, University of Science and Technology of China (USTC) released its encyclopedia platform of the university, which provides intelligent and digital means to accumulate and disperse cultural knowledge of the university. The release of Encyclopedia Platform aims to build up a knowledge base of the campus culture, encouraging the staff and students to actively participate in the recording and sharing of the unique campus culture of USTC, and provides intelligent retrieval and knowledge recommendation services. We present a thorough analysis of the key intelligent technologies of the encyclopedia platform, i.e., hierarchical multi-label classification, intelligent retrieval technologies, tags and collaborative filtering based recommendations, and introduce the architecture and the key functions of the platform. Finally, we briefly discuss its usage statistics.

Key words: campus encyclopedia, hierarchical multi-label classification, full-text search, tag-based collaborative filtering recommendation