نتایج جستجو برای: user generated content

تعداد نتایج: 910509  

2012
Stefan Koch Özgür Elçiseven

Marketing a brand and analyzing the effectiveness of promotional campaigns have always been major topics for marketing. In today's world, marketers use many data sources to analyze the behavior and responses of their consumers. This mainly involves data from Point of Sales, consumer surveys or home visits. However, with the advancement of web technologies, there is one more place where data is ...

2013
Hongyu Chen Eric Zheng Yasin Ceran

User-generated contents (UGC) such as online reviews are inherently incomplete since we do not capture the opinions of users who do not write a review. These silent users may have systematically different online experiences than those who speak up. These differences can be driven by users‟ differing sentiments towards their online experiences as well as their disposition to generate UGC. Indisc...

2015
Terry Daugherty Matthew S. Eastin Laura F. Bright Shu-Chuan Chu

Over the last several decades, the media landscape has evolved into a complex and dynamic conglomeration of both traditional and interactive media that seek to serve the needs of today’s fast-paced lifestyles. While traditional media are struggling under the weight of increased segmentation, the interactive environment has shown the capacity to capitalize on this fragmented market by offering m...

Journal: :Information Systems Research 2014
Natalia Levina Manuel Arriaga

Copyright and reuse: The Warwick Research Archive Portal (WRAP) makes this work by researchers of the University of Warwick available open access under the following conditions. Copyright © and all moral rights to the version of the paper presented here belong to the individual author(s) and/or other copyright owners. To the extent reasonable and practicable the material made available in WRAP ...

Journal: :Marketing Science 2016
Dae-Yong Ahn Jason A. Duan Carl F. Mela

This paper considers the creation and consumption of content on user generated content platforms, e.g., reviews, articles, chat, videos, etc. On these platforms, users’ expectations regarding the amount and timing of participation by others becomes germane to their own involvement levels. Accordingly, we develop a dynamic rational expectations equilibrium model of joint consumption and generati...

2011
Owen Phelan Kevin McCarthy Mike Bennett Barry Smyth

User-generated content has dominated the web’s recent growth and today the so-called real-time web provides us with unprecedented access to the real-time opinions, views, and ratings of millions of users. For example, Twitter’s 200m+ users are generating in the region of 1000+ tweets per second. In this work, we propose that this data can be harnessed as a useful source of recommendation knowle...

2014
Jiwei Li Myle Ott Claire Cardie Eduard H. Hovy

Consumers’ purchase decisions are increasingly influenced by user-generated online reviews. Accordingly, there has been growing concern about the potential for posting deceptive opinion spam— fictitious reviews that have been deliberately written to sound authentic, to deceive the reader. In this paper, we explore generalized approaches for identifying online deceptive opinion spam based on a n...

2014
Andreas Weiler Michael Grossniklaus Marc H. Scholl

In recent years, the growing popularity and active use of social media services on the web have resulted in massive amounts of user-generated data. With these data available, there is also an increasing interest in analyzing it and to extract information from it. Since social media analysis is concerned with investigating current events around the world, there is a strong emphasis on identifyin...

2009
Hendrik Send Daniel Michelis

User generated content is a valuable resource voluntarily provided by a growing number of users. As online and classical businesses increasingly harness this resource the need for strategic handling of the users arises. In this paper, we seek for a model that allows applying prior research insights on user behaviour to user generated content. Therefore, we develop a strategic segmentation of us...

2011
Marijn Koolen Gabriella Kazai Jaap Kamps Antoine Doucet Monica Landoni

The goal of the INEX 2011 Books and Social Search Track is to evaluate approaches for supporting users in reading, searching, and navigating book metadata and full texts of digitized books. The investigation is focused around four tasks: 1) the Social Search for Best Books task aims at comparing traditional and user-generated book metadata for retrieval, 2) the Prove It task evaluates focused r...

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