caa a22 4500 445348313 CHVBK 20180317142836.0 cr unu---uuuuu 170323e20110601xx s 000 0 eng 10.1007/s11192-011-0358-1 doi (NATIONALLICENCE)springer-10.1007/s11192-011-0358-1 Cabanac Guillaume Computer Science Department, IRIT UMR 5505 CNRS, University of Toulouse, 118 route de Narbonne, 31062, Toulouse Cedex 9, France aut Accuracy of inter-researcher similarity measures based on topical and social clues [Elektronische Daten] [Guillaume Cabanac] Scientific literature recommender systems (SLRSs) provide papers to researchers according to their scientific interests. Systems rely on inter-researcher similarity measures that are usually computed according to publication contents (i.e., by extracting paper topics and citations). We highlight two major issues related to this design. The required full-text access and processing are expensive and hardly feasible. Moreover, clues about meetings, encounters, and informal exchanges between researchers (which are related to a social dimension) were not exploited to date. In order to tackle these issues, we propose an original SLRS based on a threefold contribution. First, we argue the case for defining inter-researcher similarity measures building on publicly available metadata. Second, we define topical and social measures that we combine together to issue socio-topical recommendations. Third, we conduct an evaluation with 71 volunteer researchers to check researchers' perception against socio-topical similarities. Experimental results show a significant 11.21% accuracy improvement of socio-topical recommendations compared to baseline topical recommendations. Akadémiai Kiadó, Budapest, Hungary, 2011 Similarity among researchers nationallicence Topical clues nationallicence Social clues nationallicence Literature review nationallicence Recommendation nationallicence Experiment nationallicence Human perception nationallicence Measurement nationallicence Scientometrics Springer Netherlands 87/3(2011-06-01), 597-620 0138-9130 87:3<597 2011 87 11192 https://doi.org/10.1007/s11192-011-0358-1 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11192-011-0358-1 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Cabanac Guillaume Computer Science Department, IRIT UMR 5505 CNRS, University of Toulouse, 118 route de Narbonne, 31062, Toulouse Cedex 9, France aut NATIONALLICENCE 773 0- Scientometrics Springer Netherlands 87/3(2011-06-01), 597-620 0138-9130 87:3<597 2011 87 11192 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer