23,627 research outputs found
Analyzing and Modeling Special Offer Campaigns in Location-based Social Networks
The proliferation of mobile handheld devices in combination with the
technological advancements in mobile computing has led to a number of
innovative services that make use of the location information available on such
devices. Traditional yellow pages websites have now moved to mobile platforms,
giving the opportunity to local businesses and potential, near-by, customers to
connect. These platforms can offer an affordable advertisement channel to local
businesses. One of the mechanisms offered by location-based social networks
(LBSNs) allows businesses to provide special offers to their customers that
connect through the platform. We collect a large time-series dataset from
approximately 14 million venues on Foursquare and analyze the performance of
such campaigns using randomization techniques and (non-parametric) hypothesis
testing with statistical bootstrapping. Our main finding indicates that this
type of promotions are not as effective as anecdote success stories might
suggest. Finally, we design classifiers by extracting three different types of
features that are able to provide an educated decision on whether a special
offer campaign for a local business will succeed or not both in short and long
term.Comment: in The 9th International AAAI Conference on Web and Social Media
(ICWSM 2015
Incentive Mechanisms for Participatory Sensing: Survey and Research Challenges
Participatory sensing is a powerful paradigm which takes advantage of
smartphones to collect and analyze data beyond the scale of what was previously
possible. Given that participatory sensing systems rely completely on the
users' willingness to submit up-to-date and accurate information, it is
paramount to effectively incentivize users' active and reliable participation.
In this paper, we survey existing literature on incentive mechanisms for
participatory sensing systems. In particular, we present a taxonomy of existing
incentive mechanisms for participatory sensing systems, which are subsequently
discussed in depth by comparing and contrasting different approaches. Finally,
we discuss an agenda of open research challenges in incentivizing users in
participatory sensing.Comment: Updated version, 4/25/201
Emotions in context: examining pervasive affective sensing systems, applications, and analyses
Pervasive sensing has opened up new opportunities for measuring our feelings and understanding our behavior by monitoring our affective states while mobile. This review paper surveys pervasive affect sensing by examining and considering three major elements of affective pervasive systems, namely; âsensingâ, âanalysisâ, and âapplicationâ. Sensing investigates the different sensing modalities that are used in existing real-time affective applications, Analysis explores different approaches to emotion recognition and visualization based on different types of collected data, and Application investigates different leading areas of affective applications. For each of the three aspects, the paper includes an extensive survey of the literature and finally outlines some of challenges and future research opportunities of affective sensing in the context of pervasive computing
Digital Food Marketing to Children and Adolescents: Problematic Practices and Policy Interventions
Examines trends in digital marketing to youth that uses "immersive" techniques, social media, behavioral profiling, location targeting and mobile marketing, and neuroscience methods. Recommends principles for regulating inappropriate advertising to youth
Consumer Life Cycle and Profiling: A Data Mining Perspective
With the development of technology and continuously increasing of the market demand, the concept to produce better merchandises is generated in the companies. Each customer wants an individual approach or exclusive product, which creates the concept: âone customer one product.â The implementation of the one-to-one approach in the current days is the main exciting task of companies. Millions of customers lead to millions of exclusive products from the manufacturesâ views. It is the primary step to study the needs of customers in the market economy. The main task for a company is to know the customer and to provide their desired products and services. In order to get knowledge ahead of the customersâ wishes, a system of profiling potential customers is created accordingly. This chapter provides the review of the customer lifetime from the reach customer (claim future customerâs attention) to the loyalty customer (turn a customer into a company advocate). During the discussion about the customer lifetime, readers will get acquainted with such technologies as funnel analysis, data management platform, customer profiling, customer behavior analysis, and others. The listed technologies in a complex will be created as the one-to-one product or service with a high Return on Investment (ROI)
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