Exploiting Usage to Predict Instantaneous App Popularity
暂无分享,去创建一个
Sasu Tarkoma | Eemil Lagerspetz | Stephan Sigg | Petteri Nurmi | Ella Peltonen | P. Nurmi | S. Sigg | Eemil Lagerspetz | Ella Peltonen | S. Tarkoma
[1] Andrew P. Bradley,et al. The use of the area under the ROC curve in the evaluation of machine learning algorithms , 1997, Pattern Recognit..
[2] Jiannong Cao,et al. Understanding Mobile Users’ Privacy Expectations: A Recommendation-Based Method Through Crowdsourcing , 2019, IEEE Transactions on Services Computing.
[3] James D. Hamilton. Time Series Analysis , 1994 .
[4] Evangelos P. Markatos,et al. Rise of the planet of the apps: a systematic study of the mobile app ecosystem , 2013, Internet Measurement Conference.
[5] Walid Maalej,et al. User feedback in the appstore: An empirical study , 2013, 2013 21st IEEE International Requirements Engineering Conference (RE).
[6] P. Young,et al. Time series analysis, forecasting and control , 1972, IEEE Transactions on Automatic Control.
[7] Alessandra Gorla,et al. Checking app behavior against app descriptions , 2014, ICSE.
[8] Xin Jin,et al. K-Means Clustering , 2010, Encyclopedia of Machine Learning.
[9] H. Akaike. A new look at the statistical model identification , 1974 .
[10] Min Chen,et al. Measuring and Analyzing Third-Party Mobile Game App Stores in China , 2016, IEEE Transactions on Network and Service Management.
[11] Eemil Lagerspetz,et al. The company you keep: mobile malware infection rates and inexpensive risk indicators , 2013, WWW.
[12] Sasu Tarkoma,et al. Carat: collaborative energy diagnosis for mobile devices , 2013, SenSys '13.
[13] Philip S. Yu,et al. Mining Usage Traces of Mobile Apps for Dynamic Preference Prediction , 2013, PAKDD.
[14] Antonio Krüger,et al. A study on icon arrangement by smartphone users , 2013, CHI.
[15] Kamal Ali,et al. GetJar mobile application recommendations with very sparse datasets , 2012, KDD.
[16] Florian Michahelles,et al. AppAware: which mobile applications are hot? , 2010, Mobile HCI.
[17] Wang-Chien Lee,et al. App recommendation: a contest between satisfaction and temptation , 2013, WSDM.
[18] Mark de Reuver,et al. Smartphone Measurement: do People Use Mobile Applications as they Say they do? , 2012, ICMB.
[19] Johannes Schöning,et al. Falling asleep with Angry Birds, Facebook and Kindle: a large scale study on mobile application usage , 2011, Mobile HCI.
[20] Fei Wang,et al. A Cooperation Based Metric for Mobile Applications Recommendation , 2013, 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT).
[21] Florian Michahelles,et al. Google play is not a long tail market: an empirical analysis of app adoption on the Google play app market , 2013, SAC '13.
[22] Hui Xiong,et al. Popularity Modeling for Mobile Apps: A Sequential Approach , 2015, IEEE Transactions on Cybernetics.
[23] Roberto Turrin,et al. Performance of recommender algorithms on top-n recommendation tasks , 2010, RecSys '10.
[24] Yuanyuan Zhang,et al. App store mining and analysis: MSR for app stores , 2012, 2012 9th IEEE Working Conference on Mining Software Repositories (MSR).
[25] Christos Faloutsos,et al. Why people hate your app: making sense of user feedback in a mobile app store , 2013, KDD.
[26] Alexandros Karatzoglou,et al. Climbing the app wall: enabling mobile app discovery through context-aware recommendations , 2012, CIKM '12.
[27] Richard A. Davis,et al. Time Series: Theory and Methods , 2013 .
[28] Hee-Woong Kim,et al. An Exploratory Study on the Determinants of Mobile Application Purchase , 2011 .
[29] C. Nelson,et al. Trends and random walks in macroeconmic time series: Some evidence and implications , 1982 .
[30] David Martin,et al. Computational Molecular Biology: An Algorithmic Approach , 2001 .
[31] Jiannong Cao,et al. When Privacy Meets Usability: Unobtrusive Privacy Permission Recommendation System for Mobile Apps Based on Crowdsourcing , 2018, IEEE Transactions on Services Computing.
[32] Guanling Chen,et al. AppJoy: personalized mobile application discovery , 2011, MobiSys '11.
[33] Bing Liu,et al. Opinion spam and analysis , 2008, WSDM '08.
[34] Susan T. Dumais,et al. Modeling and predicting behavioral dynamics on the web , 2012, WWW.
[35] Juneyoung Park,et al. AppTrends: A graph-based mobile app recommendation system using usage history , 2015, 2015 International Conference on Big Data and Smart Computing (BIGCOMP).
[36] Nick Koudas,et al. TwitterMonitor: trend detection over the twitter stream , 2010, SIGMOD Conference.
[37] C. Lee Giles,et al. Clustering and identifying temporal trends in document databases , 2000, Proceedings IEEE Advances in Digital Libraries 2000.
[38] Jugal K. Kalita,et al. Streaming trend detection in Twitter , 2013, Int. J. Web Based Communities.
[39] Ye Xu,et al. Preference, context and communities: a multi-faceted approach to predicting smartphone app usage patterns , 2013, ISWC '13.
[40] Walid Maalej,et al. How Do Users Like This Feature? A Fine Grained Sentiment Analysis of App Reviews , 2014, 2014 IEEE 22nd International Requirements Engineering Conference (RE).
[41] Ratul Mahajan,et al. AppInsight: Mobile App Performance Monitoring in the Wild , 2022 .
[42] Xiaodong Wang,et al. Multi-objective mobile app recommendation: A system-level collaboration approach , 2014, Comput. Electr. Eng..
[43] Peter J. Bentley,et al. Investigating Country Differences in Mobile App User Behavior and Challenges for Software Engineering , 2015, IEEE Transactions on Software Engineering.
[44] Gwilym M. Jenkins,et al. Time series analysis, forecasting and control , 1971 .
[45] Tat-Seng Chua,et al. New and improved: modeling versions to improve app recommendation , 2014, SIGIR.
[46] Ricardo Baeza-Yates,et al. Predicting The Next App That You Are Going To Use , 2015, WSDM.
[47] Sergei Vassilvitskii,et al. K-means: algorithms, analyses, experiments , 2007 .
[48] Ning Chen,et al. AR-miner: mining informative reviews for developers from mobile app marketplace , 2014, ICSE.
[49] Ahmed E. Hassan,et al. What Do Mobile App Users Complain About? , 2015, IEEE Software.
[50] Rishi Chandy,et al. Identifying spam in the iOS app store , 2012, WebQuality '12.
[51] Licia Capra,et al. Temporal diversity in recommender systems , 2010, SIGIR.
[52] Anindya Datta,et al. Serendipitous Recommendation for Mobile Apps Using Item-Item Similarity Graph , 2013, AIRS.
[53] Mario Cataldi,et al. Emerging topic detection on Twitter based on temporal and social terms evaluation , 2010, MDMKDD '10.
[54] Rehab Alnemr,et al. Trend-based and reputation-versed personalized news network , 2011, SMUC '11.