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Multiple Models for Recommending Temporal Aspects of Entities.

, , and . ESWC, volume 10843 of Lecture Notes in Computer Science, page 462-480. Springer, (2018)

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Exploiting temporal information in retrieval of archived documents.. SIGIR, page 848. ACM, (2009)Balancing Novelty and Salience: Adaptive Learning to Rank Entities for Timeline Summarization of High-impact Events., , , , and . CoRR, (2017)Temporal Information Retrieval., , and . Foundations and Trends in Information Retrieval, 9 (2): 91-208 (2015)Balancing Novelty and Salience: Adaptive Learning to Rank Entities for Timeline Summarization of High-impact Events., , , , and . CIKM, page 1201-1210. ACM, (2015)Temporal summarization of event-related updates in wikipedia., , , , , and . WWW (Companion Volume), page 281-284. International World Wide Web Conferences Steering Committee / ACM, (2013)Analysing the duration of trending topics in Twitter using wikipedia., , , and . WebSci, page 251-252. ACM, (2014)Leveraging Dynamic Query Subtopics for Time-Aware Search Result Diversification., and . ECIR, volume 8416 of Lecture Notes in Computer Science, page 222-234. Springer, (2014)Temporal Information Retrieval., and . SIGIR, page 1235-1238. ACM, (2016)A burstiness-aware approach for document dating., , , , , and . SIGIR, page 1003-1006. ACM, (2014)A comparison of time-aware ranking methods., and . SIGIR, page 1257-1258. ACM, (2011)