@COMMENT This file was generated by bib2html.pl version 0.94 @COMMENT written by Patrick Riley @COMMENT This file came from Gal A. Kaminka's publication pages at @COMMENT http://www.cs.biu.ac.il/~galk/publications/ @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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