OpenSearch

Author:

Jagerman Rolf1,Balog Krisztian2,Rijke Maarten De1

Affiliation:

1. University of Amsterdam, Amsterdam, The Netherlands

2. University of Stavanger, Stavanger, Norway

Abstract

We report on our experience with TREC OpenSearch, an online evaluation campaign that enabled researchers to evaluate their experimental retrieval methods using real users of a live website. Specifically, we focus on the task of ad hoc document retrieval within the academic search domain, and work with two search engines, CiteSeerX and SSOAR, that provide us with traffic. We describe our experimental platform, which is based on the living labs methodology, and report on the experimental results obtained. We also share our experiences, challenges, and the lessons learned from running this track in 2016 and 2017.

Funder

Ahold Delhaize, Amsterdam Data Science, the Bloomberg Research Grant Program, the Criteo Faculty Research Award Program, Elsevier

the Microsoft Research Ph.D. Program, the Netherlands Institute for Sound and Vision, the Netherlands Organisation for Scientific Research

Yandex

European Community’s Seventh Framework Programme

Publisher

Association for Computing Machinery (ACM)

Subject

Information Systems and Management,Information Systems

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The Information Retrieval Experiment Platform;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18

2. Who are the Best Adopters? User Selection Model for Free Trial Item Promotion;IEEE Transactions on Big Data;2023-04-01

3. Continuous Integration for Reproducible Shared Tasks with TIRA.io;Lecture Notes in Computer Science;2023

4. Experience: Analyzing Missing Web Page Visits and Unintentional Web Page Visits from the Client-side Web Logs;Journal of Data and Information Quality;2022-03-23

5. Report on the 1st simulation for information retrieval workshop (Sim4IR 2021) at SIGIR 2021;ACM SIGIR Forum;2021-12

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