Are topic-specific search term, journal name and author name recommendations relevant for researchers?

Understand

In this paper we describe a case study where researchers in the social sciences (n=19) assess topical relevance for controlled search terms, journal names and author names which have been compiled automatically by bibliometric-enhanced information retrieval (IR) services.

• We call these bibliometric-enhanced IR services Search Term Recommender (STR), Journal Name Recommender (JNR) and Author Name Recommender (ANR) in this paper.
• The researchers in our study (practitioners, PhD students and postdocs) were asked to assess the top n pre-processed recommendations from each recommender for specific research topics which have been named by them in an interview before the experiment.
• Our results show clearly that the presented search term, journal name and author name recommendations are highly relevant to the researchers' topic and can easily be integrated for search in Digital Libraries.