%0 Conference Paper %1 Rahdari:2019:UHR:3308557.3308717 %A Rahdari, Behnam %A Brusilovsky, Peter %B Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion %C New York, NY, USA %D 2019 %I ACM %K interactive-recommender recommender transparency user-control %P 99--100 %R 10.1145/3308557.3308717 %T User-controlled Hybrid Recommendation for Academic Papers %U http://doi.acm.org/10.1145/3308557.3308717 %X We present Paper Tuner, a user-controlled interface for recommending papers and presentations at a research conference. The availability of multiple sources of information about user interests makes hybrid recommendation approach attractive in a conference context, but traditional static parallel hybridization makes is hard to generate a single ranking that can address different needs. We introduce a novel slider-based user interface that allows users to control the importance of different relevance source and even reverse the impact of specific sources. The log analysis of system usage during in a real conference context revealed an extensive use of sliders. Moreover, nearly half of the users applied the reverse functionality while using the sliders. %@ 978-1-4503-6673-1

@inproceedings{Rahdari:2019:UHR:3308557.3308717, abstract = {We present Paper Tuner, a user-controlled interface for recommending papers and presentations at a research conference. The availability of multiple sources of information about user interests makes hybrid recommendation approach attractive in a conference context, but traditional static parallel hybridization makes is hard to generate a single ranking that can address different needs. We introduce a novel slider-based user interface that allows users to control the importance of different relevance source and even reverse the impact of specific sources. The log analysis of system usage during in a real conference context revealed an extensive use of sliders. Moreover, nearly half of the users applied the reverse functionality while using the sliders.}, acmid = {3308717}, added-at = {2019-06-06T16:56:22.000+0200}, address = {New York, NY, USA}, author = {Rahdari, Behnam and Brusilovsky, Peter}, biburl = {https://www.bibsonomy.org/bibtex/2b2c21943915fe834d8c35d5778dfdaa1/brusilovsky}, booktitle = {Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion}, description = {User-controlled hybrid recommendation for academic papers}, doi = {10.1145/3308557.3308717}, interhash = {f2e9ead3f16a5b513408535dda5555f8}, intrahash = {b2c21943915fe834d8c35d5778dfdaa1}, isbn = {978-1-4503-6673-1}, keywords = {interactive-recommender recommender transparency user-control}, location = {Marina del Ray, California}, numpages = {2}, pages = {99--100}, publisher = {ACM}, series = {IUI '19}, timestamp = {2019-06-06T16:56:22.000+0200}, title = {User-controlled Hybrid Recommendation for Academic Papers}, url = {http://doi.acm.org/10.1145/3308557.3308717}, year = 2019 }