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Computer Science > Information Retrieval

arXiv:2206.12926 (cs)
[Submitted on 26 Jun 2022]

Title:Rivendell: Project-Based Academic Search Engine

Authors:Teddy Lazebnik, Hanna Weitman, Yoav Goldberg, Gal A. Kaminka
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Abstract:Finding relevant research literature in online databases is a familiar challenge to all researchers. General search approaches trying to tackle this challenge fall into two groups: one-time search and life-time search. We observe that both approaches ignore unique attributes of the research domain and are affected by concept drift. We posit that in searching for research papers, a combination of a life-time search engine with an explicitly-provided context (project) provides a solution to the concept drift problem. We developed and deployed a project-based meta-search engine for research papers called Rivendell. Using Rivendell, we conducted experiments with 199 subjects, comparing project-based search performance to one-time and life-time search engines, revealing an improvement of up to 12.8 percent in project-based search compared to life-time search.
Subjects: Information Retrieval (cs.IR)
Cite as: arXiv:2206.12926 [cs.IR]
  (or arXiv:2206.12926v1 [cs.IR] for this version)
  https://doi.org/10.48550/arXiv.2206.12926

Submission history

From: Teddy Lazebnik Dr. [view email]
[v1] Sun, 26 Jun 2022 17:07:15 UTC (467 KB)
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