Matches in SemOpenAlex for { <https://semopenalex.org/work/W2582610994> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W2582610994 endingPage "528" @default.
- W2582610994 startingPage "520" @default.
- W2582610994 abstract "The past decade has witnessed the emergence and progress of multimedia social networks (MSNs), which have explosively and tremendously increased to penetrate every corner of our lives, leisure and work. Moreover, mobile Internet and mobile terminals enable users to access to MSNs at anytime, anywhere, on behalf of any identity, including role and group. Therefore, the interaction behaviors between users and MSNs are becoming more comprehensive and complicated. This paper primarily extended and enriched the situation analytics framework for the specific social domain, named as SocialSitu , and further proposed a novel algorithm for users’ intention serialization analysis based on classic Generalized Sequential Pattern (GSP). We leveraged the huge volume of user behaviors records to explore the frequent sequence mode that is necessary to predict user intention. Our experiment selected two general kinds of intentions: playing and sharing of multimedia, which are the most common in MSNs, based on the intention serialization algorithm under different minimum support threshold ( Min_Support ). By using the users’ microscopic behaviors analysis on intentions, we found that the optimal behavior patterns of each user under the Min_Support , and a user's behavior patterns are different due to his/her identity variations in a large volume of sessions data." @default.
- W2582610994 created "2017-02-03" @default.
- W2582610994 creator A5018147628 @default.
- W2582610994 creator A5031545775 @default.
- W2582610994 creator A5078650991 @default.
- W2582610994 creator A5085570062 @default.
- W2582610994 date "2019-12-01" @default.
- W2582610994 modified "2023-10-18" @default.
- W2582610994 title "A Situational Analytic Method for User Behavior Pattern in Multimedia Social Networks" @default.
- W2582610994 cites W1227551255 @default.
- W2582610994 cites W1620545511 @default.
- W2582610994 cites W1968649997 @default.
- W2582610994 cites W1972300965 @default.
- W2582610994 cites W2024486844 @default.
- W2582610994 cites W2027128911 @default.
- W2582610994 cites W2054535005 @default.
- W2582610994 cites W2055669098 @default.
- W2582610994 cites W2088386282 @default.
- W2582610994 cites W2105816875 @default.
- W2582610994 cites W2111457926 @default.
- W2582610994 cites W2116838569 @default.
- W2582610994 cites W2124678783 @default.
- W2582610994 cites W2148964984 @default.
- W2582610994 cites W2249530696 @default.
- W2582610994 cites W2289010250 @default.
- W2582610994 cites W2291121535 @default.
- W2582610994 cites W2344188636 @default.
- W2582610994 cites W2483024783 @default.
- W2582610994 cites W2497280683 @default.
- W2582610994 cites W2551659627 @default.
- W2582610994 cites W44645104 @default.
- W2582610994 cites W2279114194 @default.
- W2582610994 doi "https://doi.org/10.1109/tbdata.2017.2657623" @default.
- W2582610994 hasPublicationYear "2019" @default.
- W2582610994 type Work @default.
- W2582610994 sameAs 2582610994 @default.
- W2582610994 citedByCount "22" @default.
- W2582610994 countsByYear W25826109942017 @default.
- W2582610994 countsByYear W25826109942018 @default.
- W2582610994 countsByYear W25826109942019 @default.
- W2582610994 countsByYear W25826109942020 @default.
- W2582610994 countsByYear W25826109942021 @default.
- W2582610994 countsByYear W25826109942022 @default.
- W2582610994 countsByYear W25826109942023 @default.
- W2582610994 crossrefType "journal-article" @default.
- W2582610994 hasAuthorship W2582610994A5018147628 @default.
- W2582610994 hasAuthorship W2582610994A5031545775 @default.
- W2582610994 hasAuthorship W2582610994A5078650991 @default.
- W2582610994 hasAuthorship W2582610994A5085570062 @default.
- W2582610994 hasConcept C107457646 @default.
- W2582610994 hasConcept C17744445 @default.
- W2582610994 hasConcept C199539241 @default.
- W2582610994 hasConcept C41008148 @default.
- W2582610994 hasConcept C49774154 @default.
- W2582610994 hasConcept C9114305 @default.
- W2582610994 hasConceptScore W2582610994C107457646 @default.
- W2582610994 hasConceptScore W2582610994C17744445 @default.
- W2582610994 hasConceptScore W2582610994C199539241 @default.
- W2582610994 hasConceptScore W2582610994C41008148 @default.
- W2582610994 hasConceptScore W2582610994C49774154 @default.
- W2582610994 hasConceptScore W2582610994C9114305 @default.
- W2582610994 hasFunder F4320321001 @default.
- W2582610994 hasFunder F4320321760 @default.
- W2582610994 hasFunder F4320322878 @default.
- W2582610994 hasFunder F4320323845 @default.
- W2582610994 hasIssue "4" @default.
- W2582610994 hasLocation W25826109941 @default.
- W2582610994 hasOpenAccess W2582610994 @default.
- W2582610994 hasPrimaryLocation W25826109941 @default.
- W2582610994 hasRelatedWork W2030250808 @default.
- W2582610994 hasRelatedWork W2045326262 @default.
- W2582610994 hasRelatedWork W2355862304 @default.
- W2582610994 hasRelatedWork W2356108042 @default.
- W2582610994 hasRelatedWork W2372054075 @default.
- W2582610994 hasRelatedWork W2376796979 @default.
- W2582610994 hasRelatedWork W2379285345 @default.
- W2582610994 hasRelatedWork W2379418341 @default.
- W2582610994 hasRelatedWork W2380054981 @default.
- W2582610994 hasRelatedWork W2393110101 @default.
- W2582610994 hasVolume "5" @default.
- W2582610994 isParatext "false" @default.
- W2582610994 isRetracted "false" @default.
- W2582610994 magId "2582610994" @default.
- W2582610994 workType "article" @default.