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Big data is transforming our world, revolutionizing operations and analytics everywhere, from financial engineering to biomedical sciences. The complexity of big data often makes dimension reduction techniques necessary before conducting…

Methodology · Statistics 2018-01-08 Jianqing Fan , Qiang Sun , Wen-Xin Zhou , Ziwei Zhu

Principal component analysis (PCA) is often used for analyzing data in the most diverse areas. In this work, we report an integrated approach to several theoretical and practical aspects of PCA. We start by providing, in an intuitive and…

Computational Engineering, Finance, and Science · Computer Science 2021-06-09 Felipe L. Gewers , Gustavo R. Ferreira , Henrique F. de Arruda , Filipi N. Silva , Cesar H. Comin , Diego R. Amancio , Luciano da F. Costa

Matching, capturing allocation of items to unit-demand buyers, or tasks to workers, or pairs of collaborators, is a central problem in economics. Indeed, the growing prevalence of matching-based markets, many of which online in nature, has…

Data Structures and Algorithms · Computer Science 2024-07-09 Zhiyi Huang , Zhihao Gavin Tang , David Wajc

World Wide Web is a huge repository of information and there is a tremendous increase in the volume of information daily. The number of users are also increasing day by day. To reduce users browsing time lot of research is taken place. Web…

Information Retrieval · Computer Science 2014-05-22 V. Chitraa , Antony Selvadoss Thanamani

The power of digital platforms is at the center of major ongoing policy and regulatory efforts. To advance existing debates, we designed and executed an experiment to measure the performative power of online search providers. Instantiated…

Computers and Society · Computer Science 2024-11-01 Celestine Mendler-Dünner , Gabriele Carovano , Moritz Hardt

Cost-per-click (CPC) in paid search is a volatile auction outcome generated by a competitive landscape that is only partially observable from any single advertiser's history. Using Google Ads auction logs from a concentrated car-rental…

The recent dramatic increase in online data availability has allowed researchers to explore human culture with unprecedented detail, such as the growth and diversification of language. In particular, it provides statistical tools to explore…

In large e-commerce platforms, search systems are typically composed of a series of modules, including recall, pre-ranking, and ranking phases. The pre-ranking phase, serving as a lightweight module, is crucial for filtering out the bulk of…

Information Retrieval · Computer Science 2024-08-22 Enqiang Xu , Yiming Qiu , Junyang Bai , Ping Zhang , Dadong Miao , Songlin Wang , Guoyu Tang , Lin Liu , Mingming Li

In todays fast pacing, highly competing,volatile and challenging world, companies highly rely on data analysis obtained from both offline as well as online way to make their future strategy, to sustain in the market. This paper reviews the…

Computers and Society · Computer Science 2014-11-11 Shruti Kohli , Ankit Gupta

With the prevalence of e-commence websites and the ease of online shopping, consumers are embracing huge amounts of various options in products. Undeniably, shopping is one of the most essential activities in our society and studying…

Computer Vision and Pattern Recognition · Computer Science 2017-02-23 Kuan-Ting Chen , Jiebo Luo

The World Wide Web (WWW) is the repository of large number of web pages which can be accessed via Internet by multiple users at the same time and therefore it is Ubiquitous in nature. The search engine is a key application used to search…

Databases · Computer Science 2012-09-25 K. C. Srikantaiah , P. L. Srikanth , V. Tejaswi , K. Shaila , K. R. Venugopal , L. M. Patnaik

The digital revolution has led to the digitization of human behavior, creating unprecedented opportunities to understand observable actions on an unmatched scale. Emerging phenomena such as crowdfunding and crowdsourcing have further…

Machine Learning · Computer Science 2023-06-27 Hannah H. Chang , Anirban Mukherjee

Widespread e-commerce activity on the Internet has led to new opportunities to collect vast amounts of micro-level market and nonmarket data. In this paper we share our experiences in collecting, validating, storing and analyzing large…

Statistics Theory · Mathematics 2007-06-13 Ravi Bapna , Paulo Goes , Ram Gopal , James R. Marsden

Personalization is being applied to great extend in many systems. This paper presents a multi-dimensional user data model and its application in web search. Online and Offline activities of the user are tracked for creating the user model.…

Information Retrieval · Computer Science 2013-06-20 Nithin K. Anil , Sharath Basil Kurian , Aby Abahai T , Surekha Mariam Varghese

In this paper, we investigate the task of aggregating search results from heterogeneous sources in an E-commerce environment. First, unlike traditional aggregated web search that merely presents multi-sourced results in the first page, this…

Information Retrieval · Computer Science 2021-05-25 Ryuichi Takanobu , Tao Zhuang , Minlie Huang , Jun Feng , Haihong Tang , Bo Zheng

Evaluation metrics are an essential part of a ranking system, and in the past many evaluation metrics have been proposed in information retrieval and Web search. Discounted Cumulated Gains (DCG) has emerged as one of the evaluation metrics…

Information Retrieval · Computer Science 2012-12-27 Ke Zhou , Hongyuan Zha , Gui-Rong Xue , Yong Yu

As advertisers increasingly shift their budgets toward digital advertising, accurately forecasting advertising costs becomes essential for optimizing marketing campaign returns. This paper presents a comprehensive study that employs various…

Machine Learning · Computer Science 2024-08-22 Fynn Oldenburg , Qiwei Han , Maximilian Kaiser

We review our recent work on applying the Google PageRank algorithm to find scientific "gems" among all Physical Review publications, and its extension to CiteRank, to find currently popular research directions. These metrics provide a…

Physics and Society · Physics 2009-01-20 Sergei Maslov , S. Redner

Crowdfunding has emerged as a widespread strategy for startups seeking financing, particularly through reward-based methods. However, understanding its economic impact at both micro and macro levels requires thorough analysis, often…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-02-23 Giuseppe Pipitò , Emanuele Macca

As Internet-based commerce becomes increasingly widespread, large data sets about the demand for and pricing of a wide variety of products become available. These present exciting new opportunities for empirical economic and business…

Statistics Theory · Mathematics 2008-12-02 Anindya Ghose , Arun Sundararajan