FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2898031744> ?p ?o ?g. }

• W2898031744 abstract "Intelligent assistants are increasingly being used on smart speaker devices, such as Amazon Echo, Google Home, Apple Homepod, and Harmon Kardon Invoke with Cortana. Typically, user satisfaction measurement relies on user interaction signals, such as clicks and scroll movements, in order to determine if a user was satisfied. However, these signals do not exist for smart speakers, which creates a challenge for user satisfaction evaluation on these devices. In this paper, we propose a new signal, user intent, as a means to measure user satisfaction. We propose to use this signal to model user satisfaction in two ways: 1) by developing intent sensitive word embeddings and then using sequences of these intent sensitive query representations to measure user satisfaction; 2) by representing a user's interactions with a smart speaker as a sequence of user intents and thus using this sequence to identify user satisfaction. Our experimental results indicate that our proposed user satisfaction models based on the intent-sensitive query representations have statistically significant improvements over several baselines in terms of common classification evaluation metrics. In particular, our proposed task satisfaction prediction model based on intent-sensitive word embeddings has a 11.81% improvement over a generative model baseline and 6.63% improvement over a user satisfaction prediction model based on Skip-gram word embeddings in terms of the F1 metric. Our findings have implications for the evaluation of Intelligent Assistant systems." @default.
• W2898031744 created "2018-10-26" @default.
• W2898031744 creator A5004546191 @default.
• W2898031744 creator A5027117126 @default.
• W2898031744 creator A5042929783 @default.
• W2898031744 creator A5059208041 @default.
• W2898031744 creator A5083733165 @default.
• W2898031744 date "2018-10-17" @default.
• W2898031744 modified "2023-10-18" @default.
• W2898031744 title "Measuring User Satisfaction on Smart Speaker Intelligent Assistants Using Intent Sensitive Query Embeddings" @default.
• W2898031744 cites W1973289172 @default.
• W2898031744 cites W1973602439 @default.
• W2898031744 cites W1975566260 @default.
• W2898031744 cites W1990026265 @default.
• W2898031744 cites W2007750197 @default.
• W2898031744 cites W2008251177 @default.
• W2898031744 cites W2035569891 @default.
• W2898031744 cites W2055981215 @default.
• W2898031744 cites W2096946253 @default.
• W2898031744 cites W2106576032 @default.
• W2898031744 cites W2117955471 @default.
• W2898031744 cites W2123937625 @default.
• W2898031744 cites W2127052912 @default.
• W2898031744 cites W2142830965 @default.
• W2898031744 cites W2152679188 @default.
• W2898031744 cites W2152693361 @default.
• W2898031744 cites W2156638208 @default.
• W2898031744 cites W2158254843 @default.
• W2898031744 cites W2158312787 @default.
• W2898031744 cites W2170443290 @default.
• W2898031744 cites W2189217339 @default.
• W2898031744 cites W2218578097 @default.
• W2898031744 cites W2252143362 @default.
• W2898031744 cites W2331728731 @default.
• W2898031744 cites W2341328702 @default.
• W2898031744 cites W2341909854 @default.
• W2898031744 cites W2460937017 @default.
• W2898031744 cites W2508865106 @default.
• W2898031744 cites W2510769428 @default.
• W2898031744 cites W2515351093 @default.
• W2898031744 cites W2530894448 @default.
• W2898031744 cites W2610935556 @default.
• W2898031744 cites W2613589950 @default.
• W2898031744 cites W2733388438 @default.
• W2898031744 cites W2740070748 @default.
• W2898031744 cites W2740851615 @default.
• W2898031744 cites W2740992833 @default.
• W2898031744 cites W2766228548 @default.
• W2898031744 cites W2767480513 @default.
• W2898031744 cites W2898046149 @default.
• W2898031744 cites W4298081798 @default.
• W2898031744 doi "https://doi.org/10.1145/3269206.3271802" @default.
• W2898031744 hasPublicationYear "2018" @default.
• W2898031744 type Work @default.
• W2898031744 sameAs 2898031744 @default.
• W2898031744 citedByCount "26" @default.
• W2898031744 countsByYear W28980317442019 @default.
• W2898031744 countsByYear W28980317442020 @default.
• W2898031744 countsByYear W28980317442021 @default.
• W2898031744 countsByYear W28980317442022 @default.
• W2898031744 countsByYear W28980317442023 @default.
• W2898031744 crossrefType "proceedings-article" @default.
• W2898031744 hasAuthorship W2898031744A5004546191 @default.
• W2898031744 hasAuthorship W2898031744A5027117126 @default.
• W2898031744 hasAuthorship W2898031744A5042929783 @default.
• W2898031744 hasAuthorship W2898031744A5059208041 @default.
• W2898031744 hasAuthorship W2898031744A5083733165 @default.
• W2898031744 hasConcept C107457646 @default.
• W2898031744 hasConcept C124101348 @default.
• W2898031744 hasConcept C127413603 @default.
• W2898031744 hasConcept C138885662 @default.
• W2898031744 hasConcept C149229913 @default.
• W2898031744 hasConcept C176217482 @default.
• W2898031744 hasConcept C201025465 @default.
• W2898031744 hasConcept C201995342 @default.
• W2898031744 hasConcept C204321447 @default.
• W2898031744 hasConcept C21547014 @default.
• W2898031744 hasConcept C23123220 @default.
• W2898031744 hasConcept C2778112365 @default.
• W2898031744 hasConcept C2780009758 @default.
• W2898031744 hasConcept C2780451532 @default.
• W2898031744 hasConcept C3017893058 @default.
• W2898031744 hasConcept C41008148 @default.
• W2898031744 hasConcept C41895202 @default.
• W2898031744 hasConcept C54355233 @default.
• W2898031744 hasConcept C63880386 @default.
• W2898031744 hasConcept C86803240 @default.
• W2898031744 hasConcept C90805587 @default.
• W2898031744 hasConceptScore W2898031744C107457646 @default.
• W2898031744 hasConceptScore W2898031744C124101348 @default.
• W2898031744 hasConceptScore W2898031744C127413603 @default.
• W2898031744 hasConceptScore W2898031744C138885662 @default.
• W2898031744 hasConceptScore W2898031744C149229913 @default.
• W2898031744 hasConceptScore W2898031744C176217482 @default.
• W2898031744 hasConceptScore W2898031744C201025465 @default.
• W2898031744 hasConceptScore W2898031744C201995342 @default.
• W2898031744 hasConceptScore W2898031744C204321447 @default.
• W2898031744 hasConceptScore W2898031744C21547014 @default.
• W2898031744 hasConceptScore W2898031744C23123220 @default.
• W2898031744 hasConceptScore W2898031744C2778112365 @default.

• next