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SPrank: Semantic Path-Based Ranking for Top-N Recommendations Using Linked Open Data., , , and . ACM TIST, 8 (1): 9:1-9:34 (2016)Adaptive Diversity in Recommender Systems., , , , and . IIR, volume 1404 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)Semantic Search in RealFoodTrade., , , , , , , , and . AMW, volume 1189 of CEUR Workshop Proceedings, CEUR-WS.org, (2014)A Linked Data Recommender System Using a Neighborhood-Based Graph Kernel., , , and . EC-Web, volume 188 of Lecture Notes in Business Information Processing, page 89-100. Springer, (2014)An analysis of users' propensity toward diversity in recommendations., , , , and . RecSys, page 285-288. ACM, (2014)Linked Open Data-Enabled Recommender Systems: ESWC 2014 Challenge on Book Recommendation., , and . SemWebEval@ESWC, volume 475 of Communications in Computer and Information Science, page 129-143. Springer, (2014)Cinemappy: a Context-aware Mobile App for Movie Recommendations boosted by DBpedia., , , , and . SeRSy, volume 919 of CEUR Workshop Proceedings, page 37-48. CEUR-WS.org, (2012)Top-N Recommendations from Implicit Feedback Leveraging Linked Open Data., , , and . IIR, volume 1127 of CEUR Workshop Proceedings, page 20-27. CEUR-WS.org, (2014)Top-N recommendations from implicit feedback leveraging linked open data., , , and . RecSys, page 85-92. ACM, (2013)Recommender Systems and Linked Open Data., and . Reasoning Web, volume 9203 of Lecture Notes in Computer Science, page 88-113. Springer, (2015)