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Exploring the sequential usage patterns of mobile Internet services based on Markov models
4 references·5 citing·37 second hop
Exploring the sequential usage patterns of mobile Internet services based on Markov models (2016)Exploring the sequential usage patterns o…Segmenting customers in online stores based on factors that affect the customer’s intention to purchase (2011)Segmenting customers in onlin…Modeling and characterization of large-scale Wi-Fi traffic in public hot-spots (2011)Modeling and characterization…Profiling users in a 3g network using hourglass co-clustering (2010)Profiling users in a 3g netwo…Customer segmentation of multiple category data in e-commerce using a soft-clustering approach (2010)Customer segmentation of mult…An analytical framework based on the recency, frequency, and monetary model and time series clustering techniques for dynamic segmentation (2021)An analytical framework based…Predicting the sequential behavior of mobile Internet users based on MSM model (2019)Predicting the sequential beh…Mining Mobile Internet Lifestyles in Distinct Urban Areas: Tales of Two Cities (2018)Mining Mobile Internet Lifest…Exploring the Users’ Preference Pattern of Application Services Between Different Mobile Phone Brands (2018)Exploring the Users’ Preferen…A customer segmentation framework for targeted marketing in telecommunication (2017)A customer segmentation frame…An evaluation of divergent perspectives on customer relationship management: Towards a common understanding of an emerging phenomenon (2004)A Strategic Framework for Customer Relationship Management (2005)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Market segmentation and travel choice prediction in Spa hotels through TripAdvisor’s online reviews (2019)Revealing customers’ satisfaction and preferences through online review analysis: The case of Canary Islands hotels (2019)Consumer Marketing Strategy and E-Commerce in the Last Decade: A Literature Review (2021)Significance tests and goodness of fit in the analysis of covariance structures. (1980)The DeLone and McLean Model of Information Systems Success: A Ten-Year Update (2003)Trust and TAM in Online Shopping: An Integrated Model1 (2003)Customer lifetime value determination based on RFM model (2016)Exploring key factors in online shopping with a hybrid model (2016)How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation (2023)Measuring serendipity (2009)Assembling and Using a Cellular Dataset for Mobile Network Analysis and Planning (2017)Joint spatial and temporal classification of mobile traffic demands (2017)Not All Apps Are Created Equal (2017)Mt/G/∞ Queues with Sinusoidal Arrival Rates (1993)The Physics of the Mt/G/∞ Queue (1993)Introduction to Matrix Analytic Methods in Stochastic Modeling (1999)A new class of models for heavy tailed distributions in finance and insurance risk (2012)Product Differentiation and Market Segmentation as Alternative Marketing Strategies (1956)Marketing - An Introduction (2006)Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining (2012)Cellular Census: Explorations in Urban Data Collection (2007)The Geography of Taste: Analyzing Cell-Phone Mobility and Social Events (2010)Correlating mobile phone usage and travel behavior – A case study of Harbin, China (2011)Morningness–Eveningness and Satisfaction with Life (2007)CAP: community activity prediction based on big data analysis (2014)Toward Predicting Active Participants in Tweet Streams: A case study on Two Civil Rights Events (2020)Clustering financial time series: New insights from an extended hidden Markov model (2014)From Social to Sale: The Effects of Firm-Generated Content in Social Media on Customer Behavior (2015)Ticking Away the Moments: Timing Regularity Helps to Better Predict Customer Activity (2016)Building and sustaining profitable customer loyalty for the 21st century (2004)A Hidden Markov Model of Customer Relationship Dynamics (2008)Customer segmentation with RFM models and demographic variable using DBSCAN algorithm (2023)Network-based exploratory data analysis and explainable three-stage deep clustering for financial customer profiling (2023)A dynamic customer segmentation approach by combining LRFMS and multivariate time series clustering (2024)
this work references cited by second hop

References

  • 2010Customer segmentation of multiple category data in e-commerce using a soft-clustering approach160 cited
  • 2010Profiling users in a 3g network using hourglass co-clustering88 cited
  • 2011Segmenting customers in online stores based on factors that affect the customer’s intention to purchase74 cited
  • 2011Modeling and characterization of large-scale Wi-Fi traffic in public hot-spots61 cited

Cited by

  • 2021An analytical framework based on the recency, frequency, and monetary model and time series clustering techniques for dynamic segmentation42 cited
  • 2018Exploring the Users’ Preference Pattern of Application Services Between Different Mobile Phone Brands14 cited
  • 2017A customer segmentation framework for targeted marketing in telecommunication11 cited
  • 2018Mining Mobile Internet Lifestyles in Distinct Urban Areas: Tales of Two Cities6 cited
  • 2019Predicting the sequential behavior of mobile Internet users based on MSM model5 cited

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