23,882 research outputs found
Hoodsquare: Modeling and Recommending Neighborhoods in Location-based Social Networks
Information garnered from activity on location-based social networks can be
harnessed to characterize urban spaces and organize them into neighborhoods. In
this work, we adopt a data-driven approach to the identification and modeling
of urban neighborhoods using location-based social networks. We represent
geographic points in the city using spatio-temporal information about
Foursquare user check-ins and semantic information about places, with the goal
of developing features to input into a novel neighborhood detection algorithm.
The algorithm first employs a similarity metric that assesses the homogeneity
of a geographic area, and then with a simple mechanism of geographic
navigation, it detects the boundaries of a city's neighborhoods. The models and
algorithms devised are subsequently integrated into a publicly available,
map-based tool named Hoodsquare that allows users to explore activities and
neighborhoods in cities around the world.
Finally, we evaluate Hoodsquare in the context of a recommendation
application where user profiles are matched to urban neighborhoods. By
comparing with a number of baselines, we demonstrate how Hoodsquare can be used
to accurately predict the home neighborhood of Twitter users. We also show that
we are able to suggest neighborhoods geographically constrained in size, a
desirable property in mobile recommendation scenarios for which geographical
precision is key.Comment: ASE/IEEE SocialCom 201
Causal relationship between eWOM topics and profit of rural tourism at Japanese Roadside Stations "MICHINOEKI"
Affected by urbanization, centralization and the decrease of overall
population, Japan has been making efforts to revitalize the rural areas across
the country. One particular effort is to increase tourism to these rural areas
via regional branding, using local farm products as tourist attractions across
Japan. Particularly, a program subsidized by the government called Michinoeki,
which stands for 'roadside station', was created 20 years ago and it strives to
provide a safe and comfortable space for cultural interaction between road
travelers and the local community, as well as offering refreshment, and
relevant information to travelers. However, despite its importance in the
revitalization of the Japanese economy, studies with newer technologies and
methodologies are lacking. Using sales data from establishments in the Kyushu
area of Japan, we used Support Vector to classify content from Twitter into
relevant topics and studied their causal relationship to the sales for each
establishment using LiNGAM, a linear non-gaussian acyclic model built for
causal structure analysis, to perform an improved market analysis considering
more than just correlation. Under the hypotheses stated by the LiNGAM model, we
discovered a positive causal relationship between the number of tweets
mentioning those establishments, specially mentioning deserts, a need for
better access and traf^ic options, and a potentially untapped customer base in
motorcycle biker groups
Know2Look: Commonsense Knowledge for Visual Search
With the rise in popularity of social media, images accompanied by contextual text form a huge section of the web. However, search and retrieval of documents are still largely dependent on solely textual cues. Although visual cues have started to gain focus, the imperfection in object/scene detection do not lead to significantly improved results. We hypothesize that the use of background commonsense knowledge on query terms can significantly aid in retrieval of documents with associated images. To this end we deploy three different modalities - text, visual cues, and commonsense knowledge pertaining to the query - as a recipe for efficient search and retrieval
Interchange Fee – Competitiveness of Payment Instruments
Purpose of the article: This study describes the markets of payment instruments. It focuses mainly on the
systems of credit and debit cards. Authors identify key moments in theory used in this dilemma, called Tourist
Test. The market of credit cards and direct debit system is 4 side business, where the Interchange fee plays
very important role.
Methodology/methods: In this paper was applied secondary research. The secondary research was based on
analysis of papers and literature published about Interchange fee including European Commission together
with polemic about payment instruments market competitiveness.
Scientific aim: The aim of this article is to identify the rules, conditions on the market of payment instruments
- the system of credit cards and direct debit system. The authors try to recognize the problems on the demand
and supply side. The authors focus on defying the cost-benefit approach, contributed with Tourist test. The
Interchange Fee plays the key role.
Findings: The approach of the scientific literature pays attention to costs and benefits, its equilibrium, also
talking about social utility and social welfare the author is missing the whole impact on end consumer welfare
and satisfaction. The dilemma is even more complicated due to the fact that the end consumer does not know
he or she is not maximizing his or her utility, apart from the merchant, who is under pressure of margin squeeze.
Conclusions: It is needed to start to measure the effectiveness and influence which the existence of Interchange
Fee brings. Of course, confront the effectiveness and influence with benefits the Interchange Fee has
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