Matches in SemOpenAlex for { <https://semopenalex.org/work/W2600781966> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W2600781966 abstract "Many websites such as Yelp provide platform for users to write reviews about places they have visited. But not all reviews are equally useful. However, it generally takes from several weeks to months to receive feedback about “usefulness” of review from online community. So there is a need to automatically predict the “usefulness” of review. In this paper, we are trying to solve the specific question “How many ‘useful’ votes a Yelp review will receive?” by using bag-of-words, linguistic, geographical, statistical, popularity and other qualitative features extracted from user, business and review information provided by Yelp. We use state-of-the-art machine learning algorithms for regression to predict required numeric value of ‘usefulness’ of review. We further gained performance improvement by introducing a batch mode localized weighted regression model. This localized regression approach resulted into RMSLE of 0.47769, which is better than traditional methods." @default.
- W2600781966 created "2017-04-07" @default.
- W2600781966 creator A5015184109 @default.
- W2600781966 creator A5029311486 @default.
- W2600781966 creator A5072244531 @default.
- W2600781966 creator A5079852922 @default.
- W2600781966 date "2016-08-01" @default.
- W2600781966 modified "2023-09-26" @default.
- W2600781966 title "Predicting usefulness of Yelp reviews with localized linear regression models" @default.
- W2600781966 cites W1506229096 @default.
- W2600781966 cites W1557757161 @default.
- W2600781966 cites W1569115619 @default.
- W2600781966 cites W1971675255 @default.
- W2600781966 cites W1978394996 @default.
- W2600781966 cites W2009637841 @default.
- W2600781966 cites W2017977879 @default.
- W2600781966 cites W2098162425 @default.
- W2600781966 cites W2099934438 @default.
- W2600781966 cites W2121392694 @default.
- W2600781966 cites W2182000739 @default.
- W2600781966 cites W2405145519 @default.
- W2600781966 doi "https://doi.org/10.1109/icsess.2016.7883046" @default.
- W2600781966 hasPublicationYear "2016" @default.
- W2600781966 type Work @default.
- W2600781966 sameAs 2600781966 @default.
- W2600781966 citedByCount "5" @default.
- W2600781966 countsByYear W26007819662017 @default.
- W2600781966 countsByYear W26007819662018 @default.
- W2600781966 countsByYear W26007819662019 @default.
- W2600781966 crossrefType "proceedings-article" @default.
- W2600781966 hasAuthorship W2600781966A5015184109 @default.
- W2600781966 hasAuthorship W2600781966A5029311486 @default.
- W2600781966 hasAuthorship W2600781966A5072244531 @default.
- W2600781966 hasAuthorship W2600781966A5079852922 @default.
- W2600781966 hasConcept C105795698 @default.
- W2600781966 hasConcept C119857082 @default.
- W2600781966 hasConcept C152877465 @default.
- W2600781966 hasConcept C154945302 @default.
- W2600781966 hasConcept C15744967 @default.
- W2600781966 hasConcept C2776291640 @default.
- W2600781966 hasConcept C2780586970 @default.
- W2600781966 hasConcept C33923547 @default.
- W2600781966 hasConcept C41008148 @default.
- W2600781966 hasConcept C48921125 @default.
- W2600781966 hasConcept C77805123 @default.
- W2600781966 hasConcept C83546350 @default.
- W2600781966 hasConceptScore W2600781966C105795698 @default.
- W2600781966 hasConceptScore W2600781966C119857082 @default.
- W2600781966 hasConceptScore W2600781966C152877465 @default.
- W2600781966 hasConceptScore W2600781966C154945302 @default.
- W2600781966 hasConceptScore W2600781966C15744967 @default.
- W2600781966 hasConceptScore W2600781966C2776291640 @default.
- W2600781966 hasConceptScore W2600781966C2780586970 @default.
- W2600781966 hasConceptScore W2600781966C33923547 @default.
- W2600781966 hasConceptScore W2600781966C41008148 @default.
- W2600781966 hasConceptScore W2600781966C48921125 @default.
- W2600781966 hasConceptScore W2600781966C77805123 @default.
- W2600781966 hasConceptScore W2600781966C83546350 @default.
- W2600781966 hasLocation W26007819661 @default.
- W2600781966 hasOpenAccess W2600781966 @default.
- W2600781966 hasPrimaryLocation W26007819661 @default.
- W2600781966 hasRelatedWork W116747521 @default.
- W2600781966 hasRelatedWork W1682176785 @default.
- W2600781966 hasRelatedWork W1988374254 @default.
- W2600781966 hasRelatedWork W2017533400 @default.
- W2600781966 hasRelatedWork W2056618204 @default.
- W2600781966 hasRelatedWork W2187190476 @default.
- W2600781966 hasRelatedWork W2257545142 @default.
- W2600781966 hasRelatedWork W2285706867 @default.
- W2600781966 hasRelatedWork W2408821365 @default.
- W2600781966 hasRelatedWork W2541385812 @default.
- W2600781966 hasRelatedWork W2598372120 @default.
- W2600781966 hasRelatedWork W2767778908 @default.
- W2600781966 hasRelatedWork W2774263784 @default.
- W2600781966 hasRelatedWork W2922891144 @default.
- W2600781966 hasRelatedWork W2937608033 @default.
- W2600781966 hasRelatedWork W3004299292 @default.
- W2600781966 hasRelatedWork W3013561618 @default.
- W2600781966 hasRelatedWork W3021174409 @default.
- W2600781966 hasRelatedWork W3123557188 @default.
- W2600781966 hasRelatedWork W3159948418 @default.
- W2600781966 isParatext "false" @default.
- W2600781966 isRetracted "false" @default.
- W2600781966 magId "2600781966" @default.
- W2600781966 workType "article" @default.