Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387327959> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W4387327959 endingPage "121878" @default.
- W4387327959 startingPage "121878" @default.
- W4387327959 abstract "Online product reviews have been increasingly adopted by consumers to express their evaluation for products on e-commercial platforms. Consumers are encouraged to evaluate the review quality by helpful votes according to their human intelligence, and considerable machine learning approaches have been developed to help detect helpful reviews automatically. However, previous studies largely depend on machine intelligence and neglect the complementary strength between machine algorithms and human intelligence. This study proposes an evidence-based multimodal fusion approach for predicting the helpfulness of reviews by aggregating the human intelligence from user votes and machine intelligence from texts and images. Review helpfulness is measured by a belief distribution and represented by the evidence obtained from each modality data. An evidential reasoning rule-based fusion strategy is proposed to combine the hybrid intelligence considering their complementarity. A new dataset is also developed for the task of multimodal review helpfulness prediction by crawling online product reviews from Amazon.com and annotated by human scoring. Experimental results on the dataset show that the proposed approach for predicting review helpfulness has superior predictive power and outperforms existing methods. This study also contributes to e-commerce by providing an enhanced method for predicting review helpfulness from both human and machine intelligence." @default.
- W4387327959 created "2023-10-05" @default.
- W4387327959 creator A5004466915 @default.
- W4387327959 creator A5015875889 @default.
- W4387327959 creator A5051383635 @default.
- W4387327959 creator A5067617335 @default.
- W4387327959 creator A5074326401 @default.
- W4387327959 date "2024-03-01" @default.
- W4387327959 modified "2023-10-13" @default.
- W4387327959 title "An evidence-based multimodal fusion approach for predicting review helpfulness with human-AI complementarity" @default.
- W4387327959 cites W1576996201 @default.
- W4387327959 cites W1966503997 @default.
- W4387327959 cites W1970107420 @default.
- W4387327959 cites W1985867508 @default.
- W4387327959 cites W1999615887 @default.
- W4387327959 cites W2002437555 @default.
- W4387327959 cites W2029080598 @default.
- W4387327959 cites W2049337423 @default.
- W4387327959 cites W2058559948 @default.
- W4387327959 cites W2064675550 @default.
- W4387327959 cites W22229905 @default.
- W4387327959 cites W2470413457 @default.
- W4387327959 cites W2619383789 @default.
- W4387327959 cites W2709480298 @default.
- W4387327959 cites W2780946198 @default.
- W4387327959 cites W2805330622 @default.
- W4387327959 cites W2810441858 @default.
- W4387327959 cites W2940942837 @default.
- W4387327959 cites W2965748866 @default.
- W4387327959 cites W3011593554 @default.
- W4387327959 cites W3022446239 @default.
- W4387327959 cites W3037270254 @default.
- W4387327959 cites W3124946654 @default.
- W4387327959 cites W3125189097 @default.
- W4387327959 cites W3125370119 @default.
- W4387327959 cites W3126357747 @default.
- W4387327959 cites W3126442124 @default.
- W4387327959 cites W3141714916 @default.
- W4387327959 cites W3159454872 @default.
- W4387327959 cites W33714547 @default.
- W4387327959 cites W4220891329 @default.
- W4387327959 cites W4220892601 @default.
- W4387327959 cites W4241886362 @default.
- W4387327959 cites W4285404671 @default.
- W4387327959 doi "https://doi.org/10.1016/j.eswa.2023.121878" @default.
- W4387327959 hasPublicationYear "2024" @default.
- W4387327959 type Work @default.
- W4387327959 citedByCount "0" @default.
- W4387327959 crossrefType "journal-article" @default.
- W4387327959 hasAuthorship W4387327959A5004466915 @default.
- W4387327959 hasAuthorship W4387327959A5015875889 @default.
- W4387327959 hasAuthorship W4387327959A5051383635 @default.
- W4387327959 hasAuthorship W4387327959A5067617335 @default.
- W4387327959 hasAuthorship W4387327959A5074326401 @default.
- W4387327959 hasBestOaLocation W43873279591 @default.
- W4387327959 hasConcept C105409693 @default.
- W4387327959 hasConcept C119857082 @default.
- W4387327959 hasConcept C154945302 @default.
- W4387327959 hasConcept C15744967 @default.
- W4387327959 hasConcept C202269582 @default.
- W4387327959 hasConcept C2781265381 @default.
- W4387327959 hasConcept C41008148 @default.
- W4387327959 hasConcept C54355233 @default.
- W4387327959 hasConcept C77805123 @default.
- W4387327959 hasConcept C86803240 @default.
- W4387327959 hasConcept C94124525 @default.
- W4387327959 hasConceptScore W4387327959C105409693 @default.
- W4387327959 hasConceptScore W4387327959C119857082 @default.
- W4387327959 hasConceptScore W4387327959C154945302 @default.
- W4387327959 hasConceptScore W4387327959C15744967 @default.
- W4387327959 hasConceptScore W4387327959C202269582 @default.
- W4387327959 hasConceptScore W4387327959C2781265381 @default.
- W4387327959 hasConceptScore W4387327959C41008148 @default.
- W4387327959 hasConceptScore W4387327959C54355233 @default.
- W4387327959 hasConceptScore W4387327959C77805123 @default.
- W4387327959 hasConceptScore W4387327959C86803240 @default.
- W4387327959 hasConceptScore W4387327959C94124525 @default.
- W4387327959 hasLocation W43873279591 @default.
- W4387327959 hasOpenAccess W4387327959 @default.
- W4387327959 hasPrimaryLocation W43873279591 @default.
- W4387327959 hasRelatedWork W2002563848 @default.
- W4387327959 hasRelatedWork W2092282862 @default.
- W4387327959 hasRelatedWork W2570913877 @default.
- W4387327959 hasRelatedWork W2611407113 @default.
- W4387327959 hasRelatedWork W2613921548 @default.
- W4387327959 hasRelatedWork W2934621214 @default.
- W4387327959 hasRelatedWork W3037056935 @default.
- W4387327959 hasRelatedWork W4281847990 @default.
- W4387327959 hasRelatedWork W4285360723 @default.
- W4387327959 hasRelatedWork W4386357470 @default.
- W4387327959 hasVolume "238" @default.
- W4387327959 isParatext "false" @default.
- W4387327959 isRetracted "false" @default.
- W4387327959 workType "article" @default.