Matches in SemOpenAlex for { <https://semopenalex.org/work/W2336764265> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W2336764265 endingPage "100" @default.
- W2336764265 startingPage "82" @default.
- W2336764265 abstract "Movies have been a great source of entertainment for the people ever since their inception in the late 18th century. The term movie is very broad and its definition contains language and genres such as drama, comedy, science fiction and action. The data about movies over the years is very vast and to analyze it, there is a need to break away from the traditional analytics techniques and adopt big data analytics. In this paper the authors have taken the data set on movies and analyzed it against various queries to uncover real nuggets from the dataset for effective recommendation system and ratings for the upcoming movies." @default.
- W2336764265 created "2016-06-24" @default.
- W2336764265 creator A5041506914 @default.
- W2336764265 creator A5075349449 @default.
- W2336764265 date "2016-04-01" @default.
- W2336764265 modified "2023-09-25" @default.
- W2336764265 title "Movie Analytics for Effective Recommendation System using Pig with Hadoop" @default.
- W2336764265 cites W1761420992 @default.
- W2336764265 cites W1967628227 @default.
- W2336764265 cites W2023098668 @default.
- W2336764265 cites W2036279382 @default.
- W2336764265 cites W2058394802 @default.
- W2336764265 cites W2088134864 @default.
- W2336764265 cites W2108702956 @default.
- W2336764265 cites W2159128662 @default.
- W2336764265 cites W2165093166 @default.
- W2336764265 cites W2394582453 @default.
- W2336764265 cites W2587040322 @default.
- W2336764265 doi "https://doi.org/10.4018/ijrsda.2016040106" @default.
- W2336764265 hasPublicationYear "2016" @default.
- W2336764265 type Work @default.
- W2336764265 sameAs 2336764265 @default.
- W2336764265 citedByCount "14" @default.
- W2336764265 countsByYear W23367642652017 @default.
- W2336764265 countsByYear W23367642652019 @default.
- W2336764265 countsByYear W23367642652020 @default.
- W2336764265 countsByYear W23367642652021 @default.
- W2336764265 crossrefType "journal-article" @default.
- W2336764265 hasAuthorship W2336764265A5041506914 @default.
- W2336764265 hasAuthorship W2336764265A5075349449 @default.
- W2336764265 hasConcept C110875604 @default.
- W2336764265 hasConcept C121332964 @default.
- W2336764265 hasConcept C124101348 @default.
- W2336764265 hasConcept C130436687 @default.
- W2336764265 hasConcept C136764020 @default.
- W2336764265 hasConcept C142362112 @default.
- W2336764265 hasConcept C148792806 @default.
- W2336764265 hasConcept C153349607 @default.
- W2336764265 hasConcept C175801342 @default.
- W2336764265 hasConcept C177264268 @default.
- W2336764265 hasConcept C199360897 @default.
- W2336764265 hasConcept C2522767166 @default.
- W2336764265 hasConcept C2780791683 @default.
- W2336764265 hasConcept C41008148 @default.
- W2336764265 hasConcept C512170562 @default.
- W2336764265 hasConcept C523419034 @default.
- W2336764265 hasConcept C545860419 @default.
- W2336764265 hasConcept C548253320 @default.
- W2336764265 hasConcept C62520636 @default.
- W2336764265 hasConcept C75684735 @default.
- W2336764265 hasConcept C79158427 @default.
- W2336764265 hasConceptScore W2336764265C110875604 @default.
- W2336764265 hasConceptScore W2336764265C121332964 @default.
- W2336764265 hasConceptScore W2336764265C124101348 @default.
- W2336764265 hasConceptScore W2336764265C130436687 @default.
- W2336764265 hasConceptScore W2336764265C136764020 @default.
- W2336764265 hasConceptScore W2336764265C142362112 @default.
- W2336764265 hasConceptScore W2336764265C148792806 @default.
- W2336764265 hasConceptScore W2336764265C153349607 @default.
- W2336764265 hasConceptScore W2336764265C175801342 @default.
- W2336764265 hasConceptScore W2336764265C177264268 @default.
- W2336764265 hasConceptScore W2336764265C199360897 @default.
- W2336764265 hasConceptScore W2336764265C2522767166 @default.
- W2336764265 hasConceptScore W2336764265C2780791683 @default.
- W2336764265 hasConceptScore W2336764265C41008148 @default.
- W2336764265 hasConceptScore W2336764265C512170562 @default.
- W2336764265 hasConceptScore W2336764265C523419034 @default.
- W2336764265 hasConceptScore W2336764265C545860419 @default.
- W2336764265 hasConceptScore W2336764265C548253320 @default.
- W2336764265 hasConceptScore W2336764265C62520636 @default.
- W2336764265 hasConceptScore W2336764265C75684735 @default.
- W2336764265 hasConceptScore W2336764265C79158427 @default.
- W2336764265 hasIssue "2" @default.
- W2336764265 hasLocation W23367642651 @default.
- W2336764265 hasOpenAccess W2336764265 @default.
- W2336764265 hasPrimaryLocation W23367642651 @default.
- W2336764265 hasRelatedWork W144490409 @default.
- W2336764265 hasRelatedWork W2143306733 @default.
- W2336764265 hasRelatedWork W2337265393 @default.
- W2336764265 hasRelatedWork W2574286713 @default.
- W2336764265 hasRelatedWork W2736909413 @default.
- W2336764265 hasRelatedWork W2744956304 @default.
- W2336764265 hasRelatedWork W2777139086 @default.
- W2336764265 hasRelatedWork W2900188375 @default.
- W2336764265 hasRelatedWork W3089604872 @default.
- W2336764265 hasRelatedWork W3130756120 @default.
- W2336764265 hasVolume "3" @default.
- W2336764265 isParatext "false" @default.
- W2336764265 isRetracted "false" @default.
- W2336764265 magId "2336764265" @default.
- W2336764265 workType "article" @default.