Recommending tourist locations based on data from photo sharing service: Method and algorithm

2016 ◽  
Author(s):  
Andrew Ponomarev
Keyword(s):  
Photo Sharing

Customized Concept Learning in Image Search from Photo Sharing Websites

2012 ◽  
Vol 2 (2) ◽  
pp. 114-115
Author(s):  
Ch. priyanka Ch. priyanka ◽  
◽  
Dr P.Govardhan Dr P.Govardhan
Keyword(s):  
Concept Learning ◽  
Image Search ◽  
Photo Sharing

scholarly journals What Instagram Can Teach Us About Bird Photography: The Most Photogenic Bird and Color Preferences

i-Perception ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 204166952110035
Author(s):  
Katja Thömmes ◽  
Gregor Hayn-Leichsenring
Keyword(s):  
Online Community ◽  
Online Behavior ◽  
Color Preferences ◽  
Photo Sharing

What makes a great bird photo? To examine this question, we collected over 20,000 photos of birds from the photo-sharing platform Instagram with their corresponding liking data. We standardized the total numbers of Likes and extracted information from the image captions. With this database, we investigated content-related image properties to see how they affect the ubiquitous online behavior of pressing a Like button. We found substantial differences between bird families, with a surprising winner in the category “most instagrammable bird.” The colors of the depicted bird also significantly affected the liking behavior of the online community, replicating and generalizing previously found human color preferences to the realm of bird photography.

scholarly journals Measuring and Understanding Photo Sharing Experiences in Social Virtual Reality

2019 ◽  
Author(s):  
Jie Li ◽  
Yiping Kong ◽  
Thomas Röggla ◽  
Francesca De Simone ◽  
Swamy Ananthanarayan ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Photo Sharing

Top Museums on Instagram

2019 ◽  
Vol 3 (2) ◽  
pp. 18-42 ◽  
Author(s):  
Vasiliki G. Vrana ◽  
Dimitrios A. Kydros ◽  
Evangelos C. Kehris ◽  
Anastasios-Ioannis T. Theocharidis ◽  
George I. Kavavasilis
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Small World ◽  
Marketing Strategies ◽  
The Other ◽  
Small World Network ◽  
Scale Free ◽  
Centrality Metrics ◽  
Photo Sharing ◽  
Visualization Algorithms

Pictures speak louder than words. In this fast-moving world where people hardly have time to read anything, photo-sharing sites become more and more popular. Instagram is being used by millions of people and has created a “sharing ecosystem” that also encourages curation, expression, and produces feedback. Museums are moving quickly to integrate Instagram into their marketing strategies, provide information, engage with audience and connect to other museums Instagram accounts. Taking into consideration that people may not see museum accounts in the same way that the other museum accounts do, the article first describes accounts' performance of the top, most visited museums worldwide and next investigates their interconnection. The analysis uses techniques from social network analysis, including visualization algorithms and calculations of well-established metrics. The research reveals the most important modes of the network by calculating the appropriate centrality metrics and shows that the network formed by the museum Instagram accounts is a scale–free small world network.

Automatic tourist attraction and representative icon determination for tourist map generation

2013 ◽  
Vol 13 (1) ◽  
pp. 18-28 ◽  
Author(s):  
Chao-Hung Lin ◽  
Jyun-Yuan Chen ◽  
Shun-Siang Hsu ◽  
Yun-Huan Chung
Keyword(s):  
User Study ◽  
Three Dimensional ◽  
Automatic Generation ◽  
Visual Features ◽  
Tourist Attraction ◽  
Tourist Attractions ◽  
Photo Sharing ◽  
Map Generation ◽  
Three Dimensional Models ◽  
Better Than

Tourist maps are designed to direct tourists to tourist attractions in unfamiliar areas. A well-designed tourist map can provide tourists with sufficient and intuitive information about places of interest. Thus, providing up-to-date information on places of interest and selecting their representative icons are fundamental and important in automatic generation of tourist maps. In this article, approaches for determining places of interest and for determining their representative icons are introduced. In contrast to general digital tourist maps that use text, simple shapes, or three-dimensional models, we use photos that offer abundant visual features of places of interest as icons in tourist maps. The photos are automatically extracted from a repository of photos downloaded from photo-sharing communities. Tourist attractions and their corresponding image icons are determined by means of photo voting and photo quality assessment. Qualitative analyses, including a user study and experiments in several areas with numerous tourist attractions, indicated that the proposed method can generate visually pleasant and elaborate tourist maps. In addition, the analyses indicated that the map produced by our method is better than maps generated by related methods and is comparable to hand-designed tourist maps.

The importance of user-generated photos in restaurant selection

2019 ◽  
Vol 10 (1) ◽  
pp. 2-14 ◽  
Author(s):  
Bruno Oliveira ◽  
Beatriz Casais
Keyword(s):  
Design Methodology ◽  
Online Reviews ◽  
User Generated Content ◽  
Content Type ◽  
Online Platforms ◽  
Photo Sharing ◽  
Restaurant Managers ◽  
Marketing Activities ◽  
Hospitality Sector ◽  
Practical Implications

Purpose User-generated content and online reviews are highly relevant in purchase decision in the hospitality sector, including restaurants, but there is a lack of knowledge about the effect of sharing pictures in this context. This study aims to focus on the relevance of user-generated photos in online platforms for restaurants’ selection. Design/methodology/approach A research was conducted with a sample of 319 residents of Porto region, who had at least one meal in a restaurant over the 30 days before the answer of the survey and had searched online to select the restaurant. Findings The results show that while doing online research about restaurants, it is important for potential consumers to find pictures of food and physical evidences of restaurants generated by other users. Findings also show that consumers find user-generated photos especially at websites of reviews, although the importance of restaurant owned platforms, such as official social media pages and websites. Practical implications The research results appeal restaurant managers to understand the importance of user-generated photos in online platforms by promoting photo sharing in their restaurants with appropriate marketing activities for that purpose. Originality/value This paper expands the state-of-the-art about the importance of user-generated content, focusing on the importance of photos from restaurants shared by consumers in online platforms.

scholarly journals Tie and tag: A study of tie strength and tags for photo sharing

PLoS ONE ◽  
2018 ◽  
Vol 13 (8) ◽  
pp. e0202540
Author(s):  
Ricard L. Fogues ◽  
Jose M. Such ◽  
Agustin Espinosa ◽  
Ana Garcia-Fornes
Keyword(s):  
Tie Strength ◽  
Photo Sharing
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