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Learning to extract and summarize hot item features from multiple auction web sites
2007
Knowledge and Information Systems
We develop a unified framework which can automatically extract product features and summarize hot item features from multiple auction sites. ...
To deal with the irregularity in the layout format of Web pages and harness the uncertainty involved, we formulate the tasks of product feature extraction and hot item feature summarization as a single ...
Overview of our framework We develop a unified framework which can extract product features and discover hot item features from multiple auction Web sites collectively. ...
doi:10.1007/s10115-007-0078-2
fatcat:wleyivafdzd63kuex2spnd6n5q
Extracting and Summarizing Hot Item Features Across Different Auction Web Sites
[chapter]
2006
Lecture Notes in Computer Science
We develop a unified framework aiming at automatically extracting the product features and summarizing the hot item features across different auction Web sites. ...
, as well as various information such as the hot item features across different auction sites. ...
Suppose we collect a set of Web pages from the auction Web sites and we wish to discover the hot item features. ...
doi:10.1007/11731139_39
fatcat:zlwijn3v25aatfjngchfkk2jf4
Research Directions, Challenges and Issues in Opinion Mining
2013
International Journal of Advanced Science and Technology
Rapid growth of Internet and availability of user reviews on the web for any product has provided a need for an effective system to analyze the web reviews. ...
The opinions are retrieved from customers are based on three general formats. ...
Acknowledgements The authors would like to express our special thanks to insightful suggestions for the anonymous reviewers. ...
doi:10.14257/ijast.2013.60.01
fatcat:vsb5anbrjfddvit64yw7tfk5q4
User Response Prediction in Online Advertising
[article]
2021
arXiv
pre-print
to products, purchases of items, or explicit user feedback through online surveys. ...
How to predict user response in a reliable and/or transparent way? ...
The information from publisher websites is usually obtained from crawling the web-pages to summarize the context. ...
arXiv:2101.02342v2
fatcat:clgefamcd5fmbeg5ephizy3zqu
Communal Service Delivery: How Customers Benefit from Participation in Firm-Hosted Virtual P3 Communities
2009
Social Science Research Network
Building upon the social constructivist view on learning and drawing from literature on the firm-customer relationship in services marketing, we distinguish between functional and social benefits received ...
The proposed model is tested on data gathered from 2,299 active members of a P3 community hosted by a global online auction firm, and the framework's generalizability is demonstrated using a sample of ...
Research Setting eBay is currently the world's largest online auction site. To participate in its auctions, buyers and sellers must learn to use eBay's trading platform effectively. ...
doi:10.2139/ssrn.1444828
fatcat:maa37rosgvai5ewdoax5ay7xui
Mining opinion components from unstructured reviews: A review
2014
Journal of King Saud University: Computer and Information Sciences
Accordingly, efficient computational methods are needed for mining and summarizing the reviews from corpuses and Web documents. ...
Opinion mining is a way to retrieve information through search engines, Web blogs and social networks. ...
Web mining refers to the implementation of text mining techniques for the purpose of extracting useful knowledge from Web text. OM is typically related to web mining. ...
doi:10.1016/j.jksuci.2014.03.009
fatcat:oma2lylgpzc7noalvewtsbtdqa
Communal Service Delivery
2009
Journal of Service Research
Building upon the social constructivist view on learning and drawing from literature on the firm-customer relationship in services marketing, we distinguish between functional and social benefits received ...
The proposed model is tested on data gathered from 2,299 active members of a P3 community hosted by a global online auction firm, and the framework's generalizability is demonstrated using a sample of ...
Research Setting eBay is currently the world's largest online auction site. To participate in its auctions, buyers and sellers must learn to use eBay's trading platform effectively. ...
doi:10.1177/1094670509338618
fatcat:ogiz3fagy5bqrgbsq5pcmziyzy
NetProbe models auction users and transactions as a Markov Random Field tuned to detect the suspicious patterns that fraudsters create, and employs a Belief Propagation mechanism to detect likely fraudsters ...
Given a large online network of online auction users and their histories of transactions, how can we spot anomalies and auction fraud? ...
We extracted features from auction data to capture fluctuations in sellers' behaviors (e.g., selling numerous expensive items after selling very few cheap items). ...
doi:10.1145/1242572.1242600
dblp:conf/www/PanditCWF07
fatcat:o2dxptvcd5dkfauehzpsi5lrde
Website features that gave rise to social commerce: a historical analysis
2013
Electronic Commerce Research and Applications
We were able to identify and classify a total of 174 emerging technical features. ...
in 2007; and (3) there has been a significant effort to strengthen customer and merchant ties through relational features. ...
R Mentoring Group and receive help from another eBay member on how to use eBay. Meet other new members and learn together. See: (web.archive.org/web/20071009122525/http://groups.eBay.com/index.jspa? ...
doi:10.1016/j.elerap.2013.04.001
fatcat:dzfq6hsw6ngkroqdu6dvbve7dy
DOMISA: DOM-based Information Space Adsorption for Web Information Hierarchy Mining
[chapter]
2004
Proceedings of the 2004 SIAM International Conference on Data Mining
Consequently, we propose an information hierarchy in this paper, and, from that hierarchy, we can extract the significance and the relationship value of information contained within a Web page. ...
Experiments on several commercial news Web sites show high precision and recall rates achieved by DOMISA in determining information clusters of pages which validates its practical applicability to Web ...
In the first phase, we extract and aggregate useful features from the information of the DOM tree. ...
doi:10.1137/1.9781611972740.29
dblp:conf/sdm/KaoHC04
fatcat:jj7ojdq7grd4leo6tqzdzym4ji
Hot Item Mining and Summarization from Multiple Auction Web Sites
Fifth IEEE International Conference on Data Mining (ICDM'05)
We develop a two-phase framework which aims at mining and summarizing hot items from multiple auction Web sites to assist decision making. ...
The goal of the second phase is to discover and summarize the hot items based on the extracted information. ...
The objective of the second phase is to mine and summarize hot items from multiple auction Web sites by making use of the extracted product features and feature values. ...
doi:10.1109/icdm.2005.78
dblp:conf/icdm/WongL05
fatcat:fte7p4ms25g3tix3w5n7ibsbne
:{unav)
2012
User modeling and user-adapted interaction
This article views Web personalization through the prism of personalization policies adopted by Web sites and implementing a variety of functions. ...
This issue is becoming increasingly important on the Web, as non-expert users are overwhelmed by the quantity of information available online, while commercial Web sites strive to add value to their services ...
Acknowledgments We would like to thank the four anonymous reviewers and the editor for their constructive comments. ...
doi:10.1023/a:1026238916441
fatcat:p5hezimqczg4tos4vajivz23ea
Harnessing the Power of the General Public for Crowdsourced Business Intelligence: A Survey
2019
IEEE Access
Crowdsourced business intelligence (CrowdBI), which leverages the crowdsourced usergenerated data to extract useful knowledge about business and create marketing intelligence to excel in the business environment ...
This paper first characterizes the concept model and unique features and presents a generic framework for CrowdBI. ...
[24] extract four categories of features (i.e., linguistic features, product features, features extracted based on information quality and features extracted using information theory) to identify helpful ...
doi:10.1109/access.2019.2901027
fatcat:a5vz6vl7urckpdsreplkvjalea
A Systematic Survey of Online Data Mining Technology Intended for Law Enforcement
2015
ACM Computing Surveys
Such technologies must be well-designed and rigorously grounded, yet no survey of the online data-mining literature exists which examines their techniques, applications and rigour. ...
article remedies this gap through a systematic mapping study describing online data mining literature which visibly targets law enforcement applications, using evidence-based practices in survey-making to ...
[Zhou et al. 2005a ] briefly outline the motivation for and design of the Dark Web Portal, a resource used in several papers addressing information extraction from terrorist and extremist sites. ...
doi:10.1145/2811403
fatcat:qpvfebejpfgp5bh3cgykaoumze
Deep Learning for User Interest and Response Prediction in Online Display Advertising
2020
Data Science and Engineering
To achieve the goal, we collect page information displayed to the users as a temporal sequence and use long short-term memory (LSTM) network to learn features that represents user interests as latent features ...
To date, existing methods for Ad click prediction, or click-through rate prediction, mainly consider representing users as a static feature set and train machine learning classifiers to predict clicks. ...
from the copyright holder. ...
doi:10.1007/s41019-019-00115-y
fatcat:mngwxyxd2jgbzkzp7menfchwm4
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