Matches in SemOpenAlex for { <https://semopenalex.org/work/W4360764531> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W4360764531 abstract "User modeling is crucial to understanding user behavior and essential for improving user experience and personalized recommendations. When users interact with software, vast amounts of command sequences are generated through logging and analytics systems. These command sequences contain clues to the users’ goals and intents. However, these data modalities are highly unstructured and unlabeled, making it difficult for standard predictive systems to learn from. We propose SimCURL, a simple yet effective contrastive self-supervised deep learning framework that learns user representation from unlabeled command sequences. Our method introduces a user-session network architecture, as well as session dropout as a novel way of data augmentation. We train and evaluate our method on a real-world command sequence dataset of more than half a billion commands. Our method shows significant improvement over existing methods when the learned representation is transferred to downstream tasks such as experience and expertise classification." @default.
- W4360764531 created "2023-03-25" @default.
- W4360764531 creator A5025839770 @default.
- W4360764531 creator A5052309649 @default.
- W4360764531 creator A5062410342 @default.
- W4360764531 creator A5071489089 @default.
- W4360764531 creator A5079002770 @default.
- W4360764531 creator A5083496983 @default.
- W4360764531 creator A5086098017 @default.
- W4360764531 creator A5086306420 @default.
- W4360764531 date "2022-12-01" @default.
- W4360764531 modified "2023-10-16" @default.
- W4360764531 title "SimCURL: Simple Contrastive User Representation Learning from Command Sequences" @default.
- W4360764531 cites W1991133427 @default.
- W4360764531 cites W2064675550 @default.
- W4360764531 cites W2116436752 @default.
- W4360764531 cites W2125838338 @default.
- W4360764531 cites W2138621090 @default.
- W4360764531 cites W2250539671 @default.
- W4360764531 cites W2612658537 @default.
- W4360764531 cites W2795734224 @default.
- W4360764531 cites W2891176389 @default.
- W4360764531 cites W2898782527 @default.
- W4360764531 cites W2950244811 @default.
- W4360764531 cites W2973049979 @default.
- W4360764531 cites W3012705926 @default.
- W4360764531 cites W3035524453 @default.
- W4360764531 cites W3156636935 @default.
- W4360764531 cites W3159481202 @default.
- W4360764531 cites W3163384138 @default.
- W4360764531 cites W3172656902 @default.
- W4360764531 cites W3201143670 @default.
- W4360764531 cites W3211034991 @default.
- W4360764531 doi "https://doi.org/10.1109/icmla55696.2022.00186" @default.
- W4360764531 hasPublicationYear "2022" @default.
- W4360764531 type Work @default.
- W4360764531 citedByCount "0" @default.
- W4360764531 crossrefType "proceedings-article" @default.
- W4360764531 hasAuthorship W4360764531A5025839770 @default.
- W4360764531 hasAuthorship W4360764531A5052309649 @default.
- W4360764531 hasAuthorship W4360764531A5062410342 @default.
- W4360764531 hasAuthorship W4360764531A5071489089 @default.
- W4360764531 hasAuthorship W4360764531A5079002770 @default.
- W4360764531 hasAuthorship W4360764531A5083496983 @default.
- W4360764531 hasAuthorship W4360764531A5086098017 @default.
- W4360764531 hasAuthorship W4360764531A5086306420 @default.
- W4360764531 hasConcept C107457646 @default.
- W4360764531 hasConcept C111472728 @default.
- W4360764531 hasConcept C119857082 @default.
- W4360764531 hasConcept C124101348 @default.
- W4360764531 hasConcept C136764020 @default.
- W4360764531 hasConcept C138885662 @default.
- W4360764531 hasConcept C154945302 @default.
- W4360764531 hasConcept C17744445 @default.
- W4360764531 hasConcept C199539241 @default.
- W4360764531 hasConcept C2776145597 @default.
- W4360764531 hasConcept C2776359362 @default.
- W4360764531 hasConcept C2779182362 @default.
- W4360764531 hasConcept C2780586882 @default.
- W4360764531 hasConcept C41008148 @default.
- W4360764531 hasConcept C79158427 @default.
- W4360764531 hasConcept C94625758 @default.
- W4360764531 hasConceptScore W4360764531C107457646 @default.
- W4360764531 hasConceptScore W4360764531C111472728 @default.
- W4360764531 hasConceptScore W4360764531C119857082 @default.
- W4360764531 hasConceptScore W4360764531C124101348 @default.
- W4360764531 hasConceptScore W4360764531C136764020 @default.
- W4360764531 hasConceptScore W4360764531C138885662 @default.
- W4360764531 hasConceptScore W4360764531C154945302 @default.
- W4360764531 hasConceptScore W4360764531C17744445 @default.
- W4360764531 hasConceptScore W4360764531C199539241 @default.
- W4360764531 hasConceptScore W4360764531C2776145597 @default.
- W4360764531 hasConceptScore W4360764531C2776359362 @default.
- W4360764531 hasConceptScore W4360764531C2779182362 @default.
- W4360764531 hasConceptScore W4360764531C2780586882 @default.
- W4360764531 hasConceptScore W4360764531C41008148 @default.
- W4360764531 hasConceptScore W4360764531C79158427 @default.
- W4360764531 hasConceptScore W4360764531C94625758 @default.
- W4360764531 hasLocation W43607645311 @default.
- W4360764531 hasOpenAccess W4360764531 @default.
- W4360764531 hasPrimaryLocation W43607645311 @default.
- W4360764531 hasRelatedWork W2112668038 @default.
- W4360764531 hasRelatedWork W2605524926 @default.
- W4360764531 hasRelatedWork W2953328427 @default.
- W4360764531 hasRelatedWork W3087157779 @default.
- W4360764531 hasRelatedWork W3169834479 @default.
- W4360764531 hasRelatedWork W3186919929 @default.
- W4360764531 hasRelatedWork W4210794429 @default.
- W4360764531 hasRelatedWork W4280592718 @default.
- W4360764531 hasRelatedWork W4312863455 @default.
- W4360764531 hasRelatedWork W4313434948 @default.
- W4360764531 isParatext "false" @default.
- W4360764531 isRetracted "false" @default.
- W4360764531 workType "article" @default.