Behavioral dynamics on the web: Learning, modeling, and prediction
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Milad Shokouhi | Susan T. Dumais | Eric Horvitz | Jaime Teevan | Kira Radinsky | Krysta Marie Svore | Alex Bocharov | S. Dumais | E. Horvitz | J. Teevan | K. Svore | Kira Radinsky | A. Bocharov | Milad Shokouhi
[1] D.P. Skinner,et al. The cepstrum: A guide to processing , 1977, Proceedings of the IEEE.
[2] Chun Zhang,et al. Storing and querying ordered XML using a relational database system , 2002, SIGMOD '02.
[3] Milad Shokouhi,et al. Time-sensitive query auto-completion , 2012, SIGIR '12.
[4] Richard Sproat,et al. Mining correlated bursty topic patterns from coordinated text streams , 2007, KDD '07.
[5] Surajit Chaudhuri,et al. Extending autocompletion to tolerate errors , 2009, SIGMOD Conference.
[6] Brian D. Davison,et al. Learning to rank for freshness and relevance , 2011, SIGIR.
[7] Guoliang Li,et al. Efficient interactive fuzzy keyword search , 2009, WWW '09.
[8] Eric Brill,et al. Improving web search ranking by incorporating user behavior information , 2006, SIGIR.
[9] Susan T. Dumais,et al. Leveraging temporal dynamics of document content in relevance ranking , 2010, WSDM '10.
[10] I. Witten,et al. The Reactive Keyboard: a predictive typing aid , 1990, Computer.
[11] Susan T. Dumais,et al. Personalizing Search via Automated Analysis of Interests and Activities , 2005, SIGIR.
[12] Hao Wu,et al. Suggesting Topic-Based Query Terms as You Type , 2010, 2010 12th International Asia-Pacific Web Conference.
[13] Eric Horvitz,et al. Patterns of search: analyzing and modeling Web query refinement , 1999 .
[14] Jon M. Kleinberg,et al. Bursty and Hierarchical Structure in Streams , 2002, Data Mining and Knowledge Discovery.
[15] Qiang Wu,et al. Click-through prediction for news queries , 2009, SIGIR.
[16] Evgeniy Gabrilovich,et al. A word at a time: computing word relatedness using temporal semantic analysis , 2011, WWW.
[17] A. Noll. Cepstrum pitch determination. , 1967, The Journal of the Acoustical Society of America.
[18] Yossi Matias,et al. On the Predictability of Search Trends , 2009 .
[19] Stephen E. Robertson,et al. Simple BM25 extension to multiple weighted fields , 2004, CIKM '04.
[20] Melvin J. Hinich,et al. Time Series Analysis by State Space Methods , 2001 .
[21] Yehuda Koren,et al. Collaborative filtering with temporal dynamics , 2009, KDD.
[22] HorvitzEric,et al. Behavioral dynamics on the web , 2013 .
[23] Susan T. Dumais,et al. Improving Web Search Ranking by Incorporating User Behavior Information , 2019, SIGIR Forum.
[24] Susan T. Dumais,et al. Classification-enhanced ranking , 2010, WWW '10.
[25] Yisong Yue,et al. Beyond position bias: examining result attractiveness as a source of presentation bias in clickthrough data , 2010, WWW '10.
[26] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[27] W. Bruce Croft,et al. Time-based language models , 2003, CIKM '03.
[28] Ziv Bar-Yossef,et al. Context-sensitive query auto-completion , 2011, WWW.
[29] Ian H. Witten,et al. The Reactive Keyboard: A Predicive Typing Aid , 1990, Computer.
[30] Luis Gravano,et al. Answering General Time-Sensitive Queries , 2008, IEEE Transactions on Knowledge and Data Engineering.
[31] Dimitrios Gunopulos,et al. Identifying similarities, periodicities and bursts for online search queries , 2004, SIGMOD '04.
[32] Susan T. Dumais,et al. Understanding temporal query dynamics , 2011, WSDM '11.
[33] Fernando Diaz,et al. Temporal profiles of queries , 2007, TOIS.
[34] Susan T. Dumais,et al. Modeling and predicting behavioral dynamics on the web , 2012, WWW.
[35] Ophir Frieder,et al. Hourly analysis of a very large topically categorized web query log , 2004, SIGIR '04.
[36] Gilad Mishne,et al. Towards recency ranking in web search , 2010, WSDM '10.
[37] Fuchun Peng,et al. Improving search relevance for implicitly temporal queries , 2009, SIGIR.
[38] Miles Efron,et al. Estimation methods for ranking recent information , 2011, SIGIR.
[39] Rob J Hyndman,et al. Forecasting with Exponential Smoothing: The State Space Approach , 2008 .
[40] Jan A Snyman,et al. Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms , 2005 .
[41] Miles Efron,et al. Linear time series models for term weighting in information retrieval , 2010, J. Assoc. Inf. Sci. Technol..
[42] Tobias Scheffer,et al. Sentence Completion , 1921, SIGIR '04.
[43] Ryen W. White,et al. Predicting short-term interests using activity-based search context , 2010, CIKM.
[44] Steve Chien,et al. Semantic similarity between search engine queries using temporal correlation , 2005, WWW '05.
[45] Peiling Wang,et al. Mining longitudinal web queries: Trends and patterns , 2003, J. Assoc. Inf. Sci. Technol..
[46] Peter Haider,et al. Learning to Complete Sentences , 2005, ECML.
[47] Milad Shokouhi,et al. Detecting seasonal queries by time-series analysis , 2011, SIGIR.
[48] Fernando Diaz,et al. Integration of news content into web results , 2009, WSDM '09.
[49] Brian N. Bershad,et al. Why we search: visualizing and predicting user behavior , 2007, WWW '07.
[50] Gary Marchionini,et al. Examining the effectiveness of real-time query expansion , 2007, Inf. Process. Manag..
[51] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[52] H. V. Jagadish,et al. Effective Phrase Prediction , 2007, VLDB.
[53] Christopher J. C. Burges,et al. From RankNet to LambdaRank to LambdaMART: An Overview , 2010 .
[54] Shaul Markovitch,et al. Similarity of Temporal Query Logs Based on ARIMA Model , 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).
[55] Jeremy Ginsberg,et al. Detecting influenza epidemics using search engine query data , 2009, Nature.
[56] Fernando Diaz,et al. Time is of the essence: improving recency ranking using Twitter data , 2010, WWW '10.
[57] C. Holt. Author's retrospective on ‘Forecasting seasonals and trends by exponentially weighted moving averages’ , 2004 .
[58] Rob J. Hyndman,et al. Forecasting with Exponential Smoothing , 2008 .