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Travel location recommendation systems have long been used by travellers for their ability to suggest destinations and potential travel experiences that match travellers' desires. Recently, a new type of domestic travel has emerged, namely ...

• Travel recommendation systems can suggest destinations to meet travellers' desires.
• Current recommendation models mainly rely on travellers' past travel behaviours.
• Domestic overseas-like travel experiences were not supported by ...

Recently, tourism has become a development emphasis for many countries because international tourism can bring huge revenues; it can also positively affect increased long-run economic growth. However, in this era of complex information, it is hard to ...

Images are at the heart of the digital life, registering what, where, and when people do activities. This rich visual information may allow to characterize cities at spatial granularities unseen with traditional methods. To advance in that direction, ...

Owing to the increasing popularity of mobile devices embedded with a Global Positioning System (GPS) sensor, large amounts of user-generated content containing spatial information have been uploaded to social media websites, such as Flickr or Twitter. ...

Existing methods for geolocating images use standard classification or image retrieval techniques. These methods have poor theoretical properties because they do not take advantage of the earth’s spherical geometry. In some cases, they require ...

In the Web2.0 era, user generated content has become the main source of information of many popular photo-sharing websites such as Flickr. In Flickr, many photos have very few or even no tags, because only the uploader can mark tags for a photo. Meanwhile,...

Sarcasm is an important aspect of human communication. However, it is often difficult to detect or understand this sentiment because the literal meaning conveyed in communication is opposite of the intended meaning. Though the field of sentiment ...

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• Study the problem of the tag co-occurrence relationship prediction in Flickr heterogeneous social network.
• Present a novel data structure to capture the correlation between images and tags in the Flickr network.
• Leverage a weight ...

Predicting the occurrence of links or interactions between objects in a network is a fundamental problem in network analysis. In this work, we address a novel problem about tag co-occurrence relationship prediction across heterogeneous networks. ...

In social image sharing websites, users provide several descriptive tags to annotate their shared images. Usually, the user annotated tags are noisy, biased and incomplete. How to improve tag quality is very important for tag based applications. The ...

Tour recommendation and itinerary planning are challenging tasks for tourists, due to their need to select points of interest (POI) to visit in unfamiliar cities and to select POIs that align with their interest preferences and trip constraints. We ...

Along with the popularization of location-based social networking (LBSN), semantic trajectories, which are trajectories with additional information such as photographs and texts, are increasing, and their utilization is required. We consider frequent ...

We focus on the problem of contributor-task matching in mobile crowd-sourcing. The idea is to identify existing social media users who possess domain expertise (e.g., photography) and incentivize them to perform some tasks (e.g., take quality pictures). ...

Social media platforms have become extremely popular during the past few years, presenting an alternate, and often preferred, avenue for information dissemination within massive global communities. Such user-generated multimedia content is emerging as a ...

Multimedia content sharing within social networks has become one of the most interesting and trending research fields over the last few years. This undoubted emerge of related research works is rather twofold, namely it includes both the analysis and ...

There are many cues that can be used to curate media from social networking websites. Beyond metadata, group behavior provide a strong community-based signal for surfacing images, which we show in a user-defined curatorial task. In a departure from ...

Even though the problem of event detection from social media has been well studied in recent years, few authors have looked at deriving structured representations for their detected events. We envision the use of social media for extracting large-scale ...

Scientific studies investigating laws and regularities of human behavior are nowadays increasingly relying on the wealth of widely available digital information produced by human activity. In this paper we use big data created by three different aspects ...

Cultural institutions are increasingly contributing content to social media platforms to raise awareness and promote use of their collections. Furthermore, they are often the recipients of user comments containing information that may be incorporated in ...

In the Web2.0 era, user generated content has become the main source of information of many popular websites such as Flickr. In Flickr, each user can share his/her photos and browse others' easily. Tagging system is an important approach to the photo ...

System mainly studies mass events found images from the Internet, this paper focuses on the data label document Flickr to quantify. This paper also implements single-pass clustering algorithm using traditional text clustering. In this paper, achieve ...