|Appears in Collections:||Computing Science and Mathematics Conference Papers and Proceedings|
|Title:||Influence of time on user profiling and recommending researchers in social media|
|Citation:||Nishioka C, Große-Bölting G & Scherp A (2015) Influence of time on user profiling and recommending researchers in social media. In: Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business (i-KNOW '15), volume 21-22-October-2015. 15th International Conference on Knowledge Technologies and Data-driven Business, Graz, Austria, 21.10.2015-22.10.2015. New York: ACM, p. Article 9. https://doi.org/10.1145/2809563.2809601|
|Conference Name:||15th International Conference on Knowledge Technologies and Data-driven Business|
|Conference Dates:||2015-10-21 - 2015-10-22|
|Conference Location:||Graz, Austria|
|Abstract:||We conduct two experiments to compare different scoring functions for extracted user interests and measure the influence of using older data. We apply our experiments in the domains of computer science and medicine. The first experiment assesses similarity scores between a user's social media profile and a corresponding user's publication profile, in order to evaluate to which extend a user's social media profile reflects his or her professional interests. The second experiment recommends related researchers profiled by their publications based on a user's social media profile. The result revealed that while the functions using spreading activation produce large similarity scores between a user profile and publication profile, the scoring functions with statistical methods (e.g., an extension of BM25 with spreading activation) perform best for recommendation. In terms of the temporal influence, the older data have almost no influence on the performance in the medicine dataset. However, in the computer science dataset, while there is a positive influence in the first experiment, the second experiment demonstrated a negative influence when adding too old data.|
|Status:||VoR - Version of Record|
|Rights:||The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.|
|Nishioka et al 2015.pdf||Fulltext - Published Version||397.36 kB||Adobe PDF||Under Permanent Embargo Request a copy|
Note: If any of the files in this item are currently embargoed, you can request a copy directly from the author by clicking the padlock icon above. However, this facility is dependent on the depositor still being contactable at their original email address.
This item is protected by original copyright
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
If you believe that any material held in STORRE infringes copyright, please contact firstname.lastname@example.org providing details and we will remove the Work from public display in STORRE and investigate your claim.