Searching for Linked Open Data To Support Content Based Recommender Systems information? Find all needed info by using official links provided below.
https://www.researchgate.net/publication/238601583_Linked_open_data_to_support_content-based_recommender_systems
More recently, Linked Open Data has been recognized as a valuable source for building recommender systems. In particular, content-based recommender systems, which focus on the items to be ...
http://sisinflab.poliba.it/publications/2012/DMORZ12/i-semantics2012.pdf
from the Linked Open Data cloud [4] are mature enough and rich in high quality data to be used as the main informa-tion source for a complete application that o ers the func-tionalities of a semantic content-based recommender system. Indeed, although recommender systems leverage well estab-lished technologies and tools, new challenges arise ...
https://doi.acm.org/10.1145/2362499.2362501
In this paper we show how these data can successfully be used to develop a recommender system (RS) that relies exclusively on the information encoded in the Web of Data. We implemented a content-based RS that leverages the data available within Linked Open Data datasets (in particular DBpedia, Freebase and LinkedMDB) in order to recommend ...Cited by: 253
http://sisinflab.poliba.it/publications/2012/DMORZ12/
In this paper we show how these data can successfully be used to develop a recommender system (RS) that relies exclusively on the information encoded in the Web of Data. We implemented a content-based RS that leverages the data available within Linked Open Data datasets (in particular DBpedia, Freebase and LinkedMDB) in order to recommend ...
https://www.slideshare.net/vitoostuni/i-semantics2012
Sep 15, 2012 · LINKED OPEN DATA TO SUPPORT CONTENT-BASED RECOMMENDER SYSTEMSTommaso Di Noia1, Roberto Mirizzi2, Vito Claudio Ostuni1, Davide Romito1, Markus Zanker3… Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising.
https://dl.acm.org/doi/10.1145/2362499.2362501
In this paper we show how these data can successfully be used to develop a recommender system (RS) that relies exclusively on the information encoded in the Web of Data. We implemented a content-based RS that leverages the data available within Linked Open Data datasets (in particular DBpedia, Freebase and LinkedMDB) in order to recommend ...
https://www.slideshare.net/mirizzi/linked-open-data-to-support-contentbased-recommender-systems-isemantic
Jan 25, 2013 · Linked Open Data to Support Content-based Recommender Systems Tommaso Di Noia, Roberto Mirizzi, Vito Claudio Ostuni, Davide Romito, Markus Zanker I-SEMANTICS 2012, 8th Int. Conf. on Semantic Systems, Sept. 5-7, 2012, Graz, Austria. The World Wide Web is moving from a Web of hyper-linked Documents to a Web of linked Data.
http://sisinflab.poliba.it/semanticweb/lod/recsys/datasets/
The advent of the Linked Open Data (LOD) initiative gave birth to a variety of open knowledge bases freely accessible on the Web. They provide a valuable source of information that can improve conventional recommender systems, if properly exploited. The evaluation of recommender systems has been, and still is, a fundamental topic in the field.
https://www.sciencedirect.com/science/article/pii/S0306457316306847
C. Musto, P. Basile, M. de Gemmis, P. Lops, G. Semeraro, S. RutiglianoAutomatic selection of linked open data features in graph-based recommender systems T. Bogers, M. Koolen (Eds.), Proceedings of the 2nd workshop on new trends on content-based recommender systems co-located with 9th ACM conference on recommender systems (RecSys 2015), Vienna ...Cited by: 28
https://www.slideshare.net/mirizzi/recommender-systems-in-the-linked-data-era
Jul 15, 2013 · Recommender Systems in the Linked Data Era – HP Labs, Palo Alto, CA 7/12/2013 Content-based (CB): recommendations are based on the assumption that if in the past a user liked a set of items with particular features, they will likely go for items having similar characteristics Recommender Systems: types animation fairytale ogre castle ...
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