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Teddy Lazebnik, Hanna Weitman, Yoav Goldberg, and Gal A. Kaminka. Rivendell:
Project-Based Academic Search Engine. Technical Report 10.48550/ARXIV.2206.12926, arXiv, 2022.
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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.
@techreport{rivendell22,
doi = {10.48550/ARXIV.2206.12926},
url = {https://arxiv.org/abs/2206.12926},
number = {10.48550/ARXIV.2206.12926},
author = {Lazebnik, Teddy and Weitman, Hanna and Goldberg, Yoav and Kaminka, Gal A.},
OPTkeywords = {Information Retrieval (cs.IR), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {Rivendell: Project-Based Academic Search Engine},
institution = {arXiv},
year = {2022},
wwwnote = {},
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.},
}
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