Expert recommendation for knowledge management in academia

Abstract

Recommendation systems are not only important in ecommerce, but in academia as well: They support scientists in finding relevant literature and also potential collaboration partners. It is essential that such a recommendation system proposes the most relevant people. Scientometric similarity measurements like co-citation and bibliographic coupling analysis have proved to give a good representation of research activities and hence it can be said that they put authors with similar research together and detect possible collaborations. Our aim is to implement a recommendation system for a target author who searches for collaboration colleagues. The research question is: 1) Can we propose a relevant author cluster for a target scientist? Furthermore we try to apply user data from the social bookmarking system CiteULike. The second research question is: 2) Is this user-based data also relevant for our target scientist and does it recommend different results? Our first outcomes of this work in progress are evaluated by our target authors.

Learning reputation in an authorship network

“…In [8], the authors augment the DBLP data with Google search results as well as publication rankings from Citeseer. A more scientometric approach is given in [6] which uses measures such as bibliographic coupling (two authors A1 and A2 are linked if they cite the same references) and author cocitation to recommend similar authors.…”

Recommending program committee candidates for academic conferences

“…The widely adopted methods for this expert search is to construct expert profiles using the expert's previous publications and cooccurrence texts [2]. Later the methods developed in TREC expert finding tasks have been extended to expert finding in web search environment [6], in academic domain [7,8], and in social websites [9,10]. The PC recommendation task can also be simply viewed as the expert finding problem which aims to find senior researchers/ experts within one domain.…”

Beyond practices: A field study of the contextual factors impacting collaborative information seeking

“…Several studies highlight how information is used and reused (Cabitza & Simone, 2009; Lutters & Ackerman, 2007; White & Lutters, 2007). Other studies emphasize expertise location during CIS activities (Dörner, Pipek, & Won, 2007; Heck, Hanraths, & Stock, 2011); still others have identified typical tasks and activities performed during collaborative information seeking (Saleh & Large, 2011; Shelby & Capra, 2011). While many of these studies and models have implicitly included contextual factors affecting the collaborative information seeking activities of knowledge workers (Ju & Pawlowski, 2011), this has not been their focus (Goggins, 2010).…”