Find all needed information about Linked Open Data To Support Content Based Recommender Systems. Below you can see links where you can find everything you want to know about Linked Open Data To Support Content Based Recommender Systems.
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 ...
Need to find Linked Open Data To Support Content Based Recommender Systems information?
To find needed information please read the text beloow. If you need to know more you can click on the links to visit sites with more detailed data.
