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Building Your Own Reading List Anytime via Embedding Relevance, Quality, Timeliness and Diversity
2017
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '17
During every summer holidays, several editions of reading lists are recommended and emerged on mass media, e.g., New York Times, and BBC. However, these reading lists are built for whole people with general topics for some purposes. What if we expect the books of a specific topic at a specific moment? How to generate the requested reading list for our own automatically? In this paper, we propose a searching framework for building a topical reading list anytime, where the Relevance (between
doi:10.1145/3077136.3080734
dblp:conf/sigir/ZhangYZJ17
fatcat:dkaah7ky4ferniun7alhy3saey