با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
دسته بندی:
مدیریت توریسم - Tourism Management
سال انتشار:
2018
عنوان انگلیسی مقاله:
Feeling a destination through the “right” photos: A machine learning model for DMOs’ photo selection
ترجمه فارسی عنوان مقاله:
حس کردن یک مقصد ازطریق عکس های "راست": یک مدل یادگیری ماشینی برای انتخاب عکس DMO ها
منبع:
Tourism Management Volume 65, April 2018, Pages 267-278
نویسنده:
Ning Deng, Xiang (Robert) Li
چکیده انگلیسی:
Photos are important carriers in destination image communication. Currently, efficiently selecting appropriate photos for destination promotion remains a major challenge for DMOs, a problem closely related to the discrepancy between projected and received destination images. During the photo selection process, contents that can best evoke viewers potential motives should be considered favorably. This project proposes and implements a machine learning-based model to assist DMOs with photo content selection. The proposed protocol ranks candidate photos describing a specific theme from viewers’ perspective. In the present empirical study, over 20,000 Flickr photos of New York City taken by foreign tourists were analyzed to demonstrate the effectiveness of this approach. The results indicate that the proposed method can facilitate the selection of destination photos and address the pronounced gap between projected and received images.
keywords: UGC photos |Flickr |Destination image |Data mining |Photo recommendation
قیمت: رایگان
توضیحات اضافی: نظر
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