Matches in SemOpenAlex for { <https://semopenalex.org/work/W3197544447> ?p ?o ?g. }
Showing items 1 to 73 of
73
with 100 items per page.
- W3197544447 abstract "Recommendation methods fall into three major categories, content based filtering, collaborative filtering and deep learning based. Information about products and the preferences of earlier users are used in an unsupervised manner to create models which help make personalized recommendations to a specific new user. The more information we provide to these methods, the more likely it is that they yield better recommendations. Deep learning based methods are relatively recent, and are generally more robust to noise and missing information. This is because deep learning models can be trained even when some of the information records have partial information. Knowledge graphs represent the current trend in recording information in the form of relations between entities, and can provide any available information about products and users. This information is used to train the recommendation model. In this work, we present a new generic recommender systems framework, that integrates knowledge graphs into the recommendation pipeline. We describe its design and implementation, and then show through experiments, how such a framework can be specialized, taking the domain of movies as an example, and the resulting improvements in recommendations made possible by using all the information obtained using knowledge graphs. Our framework, to be made publicly available, supports different knowledge graph representation formats, and facilitates format conversion, merging and information extraction needed for training recommendation models." @default.
- W3197544447 created "2021-09-13" @default.
- W3197544447 creator A5031211267 @default.
- W3197544447 creator A5047013969 @default.
- W3197544447 creator A5047782865 @default.
- W3197544447 date "2021-07-14" @default.
- W3197544447 modified "2023-09-23" @default.
- W3197544447 title "A Framework for Enhancing Deep Learning Based Recommender Systems with Knowledge Graphs" @default.
- W3197544447 cites W1529533208 @default.
- W3197544447 cites W2016753842 @default.
- W3197544447 cites W2171960770 @default.
- W3197544447 cites W2512971201 @default.
- W3197544447 cites W2747742240 @default.
- W3197544447 cites W2759136286 @default.
- W3197544447 cites W2804361106 @default.
- W3197544447 cites W2912351665 @default.
- W3197544447 cites W3099625133 @default.
- W3197544447 cites W4250893105 @default.
- W3197544447 doi "https://doi.org/10.1145/3472163.3472183" @default.
- W3197544447 hasPublicationYear "2021" @default.
- W3197544447 type Work @default.
- W3197544447 sameAs 3197544447 @default.
- W3197544447 citedByCount "0" @default.
- W3197544447 crossrefType "proceedings-article" @default.
- W3197544447 hasAuthorship W3197544447A5031211267 @default.
- W3197544447 hasAuthorship W3197544447A5047013969 @default.
- W3197544447 hasAuthorship W3197544447A5047782865 @default.
- W3197544447 hasConcept C108583219 @default.
- W3197544447 hasConcept C119857082 @default.
- W3197544447 hasConcept C132525143 @default.
- W3197544447 hasConcept C154945302 @default.
- W3197544447 hasConcept C178674793 @default.
- W3197544447 hasConcept C195807954 @default.
- W3197544447 hasConcept C199360897 @default.
- W3197544447 hasConcept C207685749 @default.
- W3197544447 hasConcept C21569690 @default.
- W3197544447 hasConcept C23123220 @default.
- W3197544447 hasConcept C41008148 @default.
- W3197544447 hasConcept C43521106 @default.
- W3197544447 hasConcept C557471498 @default.
- W3197544447 hasConcept C80444323 @default.
- W3197544447 hasConceptScore W3197544447C108583219 @default.
- W3197544447 hasConceptScore W3197544447C119857082 @default.
- W3197544447 hasConceptScore W3197544447C132525143 @default.
- W3197544447 hasConceptScore W3197544447C154945302 @default.
- W3197544447 hasConceptScore W3197544447C178674793 @default.
- W3197544447 hasConceptScore W3197544447C195807954 @default.
- W3197544447 hasConceptScore W3197544447C199360897 @default.
- W3197544447 hasConceptScore W3197544447C207685749 @default.
- W3197544447 hasConceptScore W3197544447C21569690 @default.
- W3197544447 hasConceptScore W3197544447C23123220 @default.
- W3197544447 hasConceptScore W3197544447C41008148 @default.
- W3197544447 hasConceptScore W3197544447C43521106 @default.
- W3197544447 hasConceptScore W3197544447C557471498 @default.
- W3197544447 hasConceptScore W3197544447C80444323 @default.
- W3197544447 hasFunder F4320334593 @default.
- W3197544447 hasLocation W31975444471 @default.
- W3197544447 hasOpenAccess W3197544447 @default.
- W3197544447 hasPrimaryLocation W31975444471 @default.
- W3197544447 hasRelatedWork W1459953188 @default.
- W3197544447 hasRelatedWork W1772987693 @default.
- W3197544447 hasRelatedWork W2026969803 @default.
- W3197544447 hasRelatedWork W2204366076 @default.
- W3197544447 hasRelatedWork W2244426124 @default.
- W3197544447 hasRelatedWork W2294359690 @default.
- W3197544447 hasRelatedWork W2311446356 @default.
- W3197544447 hasRelatedWork W4283360099 @default.
- W3197544447 hasRelatedWork W76049015 @default.
- W3197544447 hasRelatedWork W2157900273 @default.
- W3197544447 isParatext "false" @default.
- W3197544447 isRetracted "false" @default.
- W3197544447 magId "3197544447" @default.
- W3197544447 workType "article" @default.