Multiple Models for Recommending Temporal Aspects of Entities

arXiv:1803.07890v4 Announce Type: replace-cross
Abstract: Entity aspect recommendation is an emerging task in semantic search that helps users discover serendipitous and prominent information with respect to an entity, of which salience (e.g., popularity) is the most important factor in previous work. However, entity aspects are temporally dynamic and often driven by events happening over time. For such cases, aspect suggestion based solely on salience features can give unsatisfactory results, for two reasons. First, salience is often accumulated over a long …

abstract arxiv cs.ir cs.lg dynamic events however information multiple recommendation search semantic temporal type work