Difference between revisions of "Wikipedia in the Tourism Industry: Forecasting Demand and Modeling Usage Behavior"

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== Overview ==
 
== Overview ==
 
Due to the economic and social impacts of tourism, both private and public sectors are interested in precisely forecasting the tourism demand volume in a timely manner. With recent advances in [[social network]]s, more people use online resources to plan their future trips. In this paper authors explore the application of [[Wikipedia]] usage trends (WUTs) in tourism analysis. Authors propose a framework that deploys WUTs for forecasting the tourism demand of Hawaii. Authors also propose a data-driven approach, using WUTs, to estimate the behavior of tourists when they plan their trips.
 
Due to the economic and social impacts of tourism, both private and public sectors are interested in precisely forecasting the tourism demand volume in a timely manner. With recent advances in [[social network]]s, more people use online resources to plan their future trips. In this paper authors explore the application of [[Wikipedia]] usage trends (WUTs) in tourism analysis. Authors propose a framework that deploys WUTs for forecasting the tourism demand of Hawaii. Authors also propose a data-driven approach, using WUTs, to estimate the behavior of tourists when they plan their trips.
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== Embed ==
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=== Wikipedia Quality ===
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Khadivi, Pejman; Ramakrishnan, Naren. (2016). "[[Wikipedia in the Tourism Industry: Forecasting Demand and Modeling Usage Behavior]]". AAAI Press.
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=== English Wikipedia ===
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{{cite journal |last1=Khadivi |first1=Pejman |last2=Ramakrishnan |first2=Naren |title=Wikipedia in the Tourism Industry: Forecasting Demand and Modeling Usage Behavior |date=2016 |url=https://wikipediaquality.com/wiki/Wikipedia_in_the_Tourism_Industry:_Forecasting_Demand_and_Modeling_Usage_Behavior |journal=AAAI Press}}
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=== HTML ===
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Khadivi, Pejman; Ramakrishnan, Naren. (2016). &amp;quot;<a href="https://wikipediaquality.com/wiki/Wikipedia_in_the_Tourism_Industry:_Forecasting_Demand_and_Modeling_Usage_Behavior">Wikipedia in the Tourism Industry: Forecasting Demand and Modeling Usage Behavior</a>&amp;quot;. AAAI Press.
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[[Category:Scientific works]]

Latest revision as of 09:46, 27 February 2021


Wikipedia in the Tourism Industry: Forecasting Demand and Modeling Usage Behavior
Authors
Pejman Khadivi
Naren Ramakrishnan
Publication date
2016
Links
Original

Wikipedia in the Tourism Industry: Forecasting Demand and Modeling Usage Behavior - scientific work related to Wikipedia quality published in 2016, written by Pejman Khadivi and Naren Ramakrishnan.

Overview

Due to the economic and social impacts of tourism, both private and public sectors are interested in precisely forecasting the tourism demand volume in a timely manner. With recent advances in social networks, more people use online resources to plan their future trips. In this paper authors explore the application of Wikipedia usage trends (WUTs) in tourism analysis. Authors propose a framework that deploys WUTs for forecasting the tourism demand of Hawaii. Authors also propose a data-driven approach, using WUTs, to estimate the behavior of tourists when they plan their trips.

Embed

Wikipedia Quality

Khadivi, Pejman; Ramakrishnan, Naren. (2016). "[[Wikipedia in the Tourism Industry: Forecasting Demand and Modeling Usage Behavior]]". AAAI Press.

English Wikipedia

{{cite journal |last1=Khadivi |first1=Pejman |last2=Ramakrishnan |first2=Naren |title=Wikipedia in the Tourism Industry: Forecasting Demand and Modeling Usage Behavior |date=2016 |url=https://wikipediaquality.com/wiki/Wikipedia_in_the_Tourism_Industry:_Forecasting_Demand_and_Modeling_Usage_Behavior |journal=AAAI Press}}

HTML

Khadivi, Pejman; Ramakrishnan, Naren. (2016). &quot;<a href="https://wikipediaquality.com/wiki/Wikipedia_in_the_Tourism_Industry:_Forecasting_Demand_and_Modeling_Usage_Behavior">Wikipedia in the Tourism Industry: Forecasting Demand and Modeling Usage Behavior</a>&quot;. AAAI Press.