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arXiv · 2106.04376

ConSTR: A Contextual Search Term Recommender

Thomas Krämer·Zeljko Carevic·Dwaipayan Roy·Claus-Peter Klas·Philipp Mayr
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Abstract

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

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Thomas Krämer, Zeljko Carevic, Dwaipayan Roy, Claus-Peter Klas, Philipp Mayr. 2021-06-08. ConSTR: A Contextual Search Term Recommender. https://arxiv.org/abs/2106.04376

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