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Doctoral Dissertation Research

This presentation provides a short overview of my doctoral research on the criteria by which users of academic search systems judge a search result's relevance., This doctoral research is partly funded by a three-year PhD scholarship granted by the Hamburg University of Applied Sciences.

This abstract provides a short overview on my doctoral research on relevance criteria in academic search systems.

When users of information systems judge the relevance of search results, diverse criteria beyond topical relevance come into play. In this paper, we introduce the doctoral project Relevance Clues, which, through an experimental design, seeks to gain significant knowledge on the criteria by which users make relevance judgments.

We present the results of the data analysis to every evaluation run and discuss possible reasons for the results in separate sections before we summarize our findings.

The goal of the relevance model is to enhance the ranking performance of the baseline retrieval system by integrating information from multiple sources.

This working paper describes methodological issues that have been determined within the research project LibRank funded by the German Research Foundation (DFG – Deutsche Forschungsgemeinschaft). The final methods applied may slightly differ from the descriptions in this paper, as adjustments to the research design had been made based on results of a pretest and the first evaluation run. Project results will be published elsewhere. This working paper has not been peer-reviewed.

This report covers first results of the research project LibRankfunded by the German Research Foundation (DFG - Deutsche Forschungsgemeinschaft). Arevised and abridged versionof this report is published as: Behnert, C., & Lewandowski, D. (2015): Ranking Search Results in Library Information Systems — Considering Ranking Approaches Adapted From Web Search Engines. In: The Journal of Academic Librarianship.http://dx.doi.org/10.1016/j.acalib.2015.07.010

The aim of the research project LibRank is to identify, to implement and to systematically evaluate factors for relevance ranking in library information systems. This poster provides a short overview on the main objectives and used research methods with selected first results.