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In this demo paper, we present ConSTR, a novel Contextual Search TermRecommender that utilises the user's interaction context for search termrecommendation and literature retrieval. ConSTR integrates a two-layeredrecommendation interface: the first layer suggests terms with respect to auser's current search term, and the second layer suggests terms based on theusers' previous search activities (interaction context). For the demonstration,ConSTR is built on the arXiv, an academic repository consisting of 1.8 milliondocuments.

ConSTR: A Contextual Search Term Recommender