%0 Conference Paper %1 citeulike:14421553 %A Bogers, Toine %A Koolen, Marijn %B Proceedings of the Eleventh ACM Conference on Recommender Systems %C New York, NY, USA %D 2017 %I ACM %K narration recommender %P 238--242 %R 10.1145/3109859.3109893 %T Defining and Supporting Narrative-driven Recommendation %U http://dx.doi.org/10.1145/3109859.3109893 %X Research into recommendation algorithms has made great strides in recent years. However, these algorithms are typically applied in relatively straightforward scenarios: given information about a user's past preferences, what will they like in the future? Recommendation is often more complex: evaluating recommended items never takes place in a vacuum, and it is often a single step in the user's more complex background task. In this paper, we define a specific type of recommendation scenario called narrative-driven recommendation, where the recommendation process is driven by both a log of the user's past transactions as well as a narrative description of their current interest(s). Through an analysis of a set of real-world recommendation narratives from the LibraryThing forums, we demonstrate the uniqueness and richness of this scenario and highlight common patterns and properties of such narratives. %@ 978-1-4503-4652-8

@inproceedings{citeulike:14421553, abstract = {{Research into recommendation algorithms has made great strides in recent years. However, these algorithms are typically applied in relatively straightforward scenarios: given information about a user's past preferences, what will they like in the future? Recommendation is often more complex: evaluating recommended items never takes place in a vacuum, and it is often a single step in the user's more complex background task. In this paper, we define a specific type of recommendation scenario called narrative-driven recommendation, where the recommendation process is driven by both a log of the user's past transactions as well as a narrative description of their current interest(s). Through an analysis of a set of real-world recommendation narratives from the LibraryThing forums, we demonstrate the uniqueness and richness of this scenario and highlight common patterns and properties of such narratives.}}, added-at = {2018-03-19T12:24:51.000+0100}, address = {New York, NY, USA}, author = {Bogers, Toine and Koolen, Marijn}, biburl = {https://www.bibsonomy.org/bibtex/2b29a7898f58851f0dfc6a902fca3ca5c/aho}, booktitle = {Proceedings of the Eleventh ACM Conference on Recommender Systems}, citeulike-article-id = {14421553}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=3109893}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/3109859.3109893}, doi = {10.1145/3109859.3109893}, interhash = {a871a393e4ef09120e87be5371290555}, intrahash = {b29a7898f58851f0dfc6a902fca3ca5c}, isbn = {978-1-4503-4652-8}, keywords = {narration recommender}, location = {Como, Italy}, pages = {238--242}, posted-at = {2017-08-30 13:24:41}, priority = {2}, publisher = {ACM}, series = {RecSys '17}, timestamp = {2018-03-19T12:24:51.000+0100}, title = {{Defining and Supporting Narrative-driven Recommendation}}, url = {http://dx.doi.org/10.1145/3109859.3109893}, year = 2017 }