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An analysis of search engine switching behavior using click streams

Yun-Fang Juan, Chi-Chao Chang
2005 Special interest tracks and posters of the 14th international conference on World Wide Web - WWW '05  
In this paper, we propose a simple framework to characterize the switching behavior between search engines based on click streams.  ...  We experiment with this framework using click streams focusing on two search engines: one with a large market share and the other with a small market share.  ...  Preliminary Results The raw data used here is the complete click streams from an ISP. 12 weeks of data is used.  ... 
doi:10.1145/1062745.1062863 dblp:conf/www/JuanC05 fatcat:7zfbzoixpbdlplrwyrcj3dawg4

An Analysis of Search Engine Switching Behavior Using Click Streams [chapter]

Yun-Fang Juan, Chi-Chao Chang
2005 Lecture Notes in Computer Science  
In this paper, we propose a simple framework to characterize the switching behavior between search engines based on click streams.  ...  We experiment with this framework using click streams focusing on two search engines: one with a large market share and the other with a small market share.  ...  Preliminary Results The raw data used here is the complete click streams from an ISP. 12 weeks of data is used.  ... 
doi:10.1007/11600930_82 fatcat:wijdkajshzcqpoxkixcvuwo3ei

Defection detection

Allison P. Heath, Ryen W. White
2008 Proceeding of the 17th international conference on World Wide Web - WWW '08  
Searchers have a choice about which Web search engine they use when looking for information online.  ...  If they are unsuccessful on one engine, users may switch to a different engine to continue their search.  ...  An analysis of search engine switching behavior using click streams. In Proc. WWW, 1050-1051. [3] Mukhopadhyay, T., Rajan, U. & Telang, R. (2004).Competition between internet search engines.  ... 
doi:10.1145/1367497.1367712 dblp:conf/www/HeathW08 fatcat:jooaixdwfvdvfm5he7kigpew3y

Analyzing search engine advertising

Anindya Ghose, Sha Yang
2008 Proceeding of the 17th international conference on World Wide Web - WWW '08  
The phenomenon of sponsored search advertising is gaining ground as the largest source of revenues for search engines.  ...  This process works on an auction mechanism in which advertisers bid for different keywords, and final rank for a given keyword is allocated by the search engine.  ...  Anindya Ghose also acknowledges the generous financial support of the National Science Foundation through CAREER Award IIS-0643847. The usual disclaimer applies. 8.  ... 
doi:10.1145/1367497.1367528 dblp:conf/www/GhoseY08 fatcat:577jbdkkx5gt5obzfnbtwpmx6m

Enhancing web search by promoting multiple search engine use

Ryen W. White, Matthew Richardson, Mikhail Bilenko, Allison P. Heath
2008 Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '08  
In contrast to prior work on meta-search, we do not advocate for replacement of multiple engines with an aggregate one, but rather facilitate simultaneous use of individual engines.  ...  We describe a machine learning approach to supporting switching between search engines and demonstrate its viability at tolerable interruption levels.  ...  Overview of Switching Behavior Our analysis showed that 36.4% of searchers used more than one search engine in the duration of the logs. 7 The findings also showed that 6.8% of all sessions and 12.0%  ... 
doi:10.1145/1390334.1390344 dblp:conf/sigir/WhiteRBH08 fatcat:4tavswoklrdxxjybiybq7j5oia

Struggling and Success in Web Search

Daan Odijk, Ryen W. White, Ahmed Hassan Awadallah, Susan T. Dumais
2015 Proceedings of the 24th ACM International on Conference on Information and Knowledge Management - CIKM '15  
We analyze anonymized search logs from the Microsoft Bing Web search engine to characterize aspects of struggling searches and better explain the relationship between struggling and search success.  ...  To broaden our understanding of the struggling process beyond the behavioral signals in log data, we develop and utilize a crowd-sourced labeling methodology.  ...  The first author performed this research during an internship at Microsoft Research and is supported by the Dutch national program COMMIT.  ... 
doi:10.1145/2806416.2806488 dblp:conf/cikm/OdijkWAD15 fatcat:av4dtkyftna3ljgixqvkrma35e

The Powerful Model Adpredictor for Search Engine Switching Detection Challenge [article]

Heng Gao, Yongbao Li, Qiudan Li, Daniel Zeng
2013 arXiv   pre-print
The purpose of the Switching Detection Challenge in the 2013 WSCD workshop was to predict users' search engine swithcing actions given records about search sessions and logs.Our solution adopted the powerful  ...  prediction model Adpredictor and utilized the method of feature engineering.  ...  [2] combined large scale log-based analysis and survey data to present a study of search engine switching behavior.  ... 
arXiv:1303.2156v1 fatcat:igstasjadnbrvo5qhvrwxkk2k4

Stream prediction using a generative model based on frequent episodes in event sequences

Srivatsan Laxman, Vikram Tankasali, Ryen W. White
2008 Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD 08  
We then present an application of the algorithm for predicting targeted user-behaviors from large volumes of anonymous search session interaction logs from a commercially-deployed web browser tool-bar.  ...  The only user-defined model parameter in the algorithm is the length of the windows of events used during model estimation.  ...  We define a search engine switch as one of three behaviors within a session: (i) issuing a query to a different search engine, (ii) navigating to the homepage of a different search engine, or (iii) querying  ... 
doi:10.1145/1401890.1401947 dblp:conf/kdd/LaxmanTW08 fatcat:lewqrrqxfbad5bqedkmmosuvvi

A Game-theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search [article]

Di He, Wei Chen, Liwei Wang, Tie-Yan Liu
2014 arXiv   pre-print
Sponsored search is an important monetization channel for search engines, in which an auction mechanism is used to select the ads shown to users and determine the prices charged from advertisers.  ...  There have been several pieces of work in the literature that investigate how to design an auction mechanism in order to optimize the revenue of the search engine.  ...  Introduction Sponsored search is an important means of Internet monetization, and is the driving force of major search engines today.  ... 
arXiv:1406.0728v2 fatcat:lol4vrvptrhftn7f3ck4twhldq

Combining Keyword Search Advertisement and Site- Targeted Advertisement in Search Engine Advertising

Li Chen
2008 Journal of Service Science and Management  
Comparative static analysis provides an analysis of properties of each application. We also develop a computational experiment based on Google AdWords to illustrate the application of the model.  ...  Internet advertising has seen a strong growth in recent years and search engine advertising has played an important role in that growth.  ...  There are multiple streams of related literature studying search engine advertising.  ... 
doi:10.4236/jssm.2008.13025 fatcat:lusdgdyyznbb7hpbqqmbp637k4

An empirical analysis of sponsored search performance in search engine advertising

Anindya Ghose, Sha Yang
2008 Proceedings of the international conference on Web search and web data mining - WSDM '08  
source of revenues for search engines.  ...  To the best of our knowledge, this is the first study that uses real world data from an advertiser and jointly estimates the effect of sponsored search advertising at a keyword level on consumer search  ...  This is not surprising given that 94% of consumers use search engines to find information on the Web, and 81% who use search engines find the information they are looking for every time they search (Nielson-Net  ... 
doi:10.1145/1341531.1341563 dblp:conf/wsdm/GhoseY08 fatcat:azeeflx7njfdvkr5pgfowm65yy

Characterizing and supporting cross-device search tasks

Yu Wang, Xiao Huang, Ryen W. White
2013 Proceedings of the sixth ACM international conference on Web search and data mining - WSDM '13  
Little is known about the nature of cross-device search tasks, yet they represent an important opportunity for search engines to help their users, especially those on the target (post-switch) device.  ...  Using data from a large commercial search engine, we show that there are discernible and noteworthy patterns of search behavior associated with device transitions.  ...  To better capture the search intent of users, the concept of a search session is employed to segment the query stream into fragmented units for analysis.  ... 
doi:10.1145/2433396.2433484 dblp:conf/wsdm/WangHW13 fatcat:nbeculfgyrdgvp42hqw2pqqe3q

A task level metric for measuring web search satisfaction and its application on improving relevance estimation

Ahmed Hassan, Yang Song, Li-wei He
2011 Proceedings of the 20th ACM international conference on Information and knowledge management - CIKM '11  
The proposed model can also be used to optimize different search engine components.  ...  Understanding the behavior of satisfied and unsatisfied Web search users is very important for improving users search experience.  ...  , an answer click, a tab switch, a click on a link on a search result page, or navigating back to SERP (i.e. the search engine results page).  ... 
doi:10.1145/2063576.2063599 dblp:conf/cikm/HassanSH11 fatcat:pwvqpinlkjhuzhb3nxb7zosawy

LoyalTracker: Visualizing Loyalty Dynamics in Search Engines

Conglei Shi, Yingcai Wu, Shixia Liu, Hong Zhou, Huamin Qu
2014 IEEE Transactions on Visualization and Computer Graphics  
illustrates loyalty dynamics of the users using search engine A.  ...  Case studies and the interview with domain experts are conducted to demonstrate the usefulness of our technique in understanding user loyalty and switching behavior in search engines.  ...  This research was supported in part by HK RGC GRF 16208514, the National Basic Research Program of China (973 Program) under Grant No. 2014CB340304, the National Natural Science Foundation of China 61103055  ... 
doi:10.1109/tvcg.2014.2346912 pmid:26356887 fatcat:jcbtnq5fqveyjnod56jsvtlagq

Web search clickstreams

Nils Kammenhuber, Julia Luxenburger, Anja Feldmann, Gerhard Weikum
2006 Proceedings of the 6th ACM SIGCOMM on Internet measurement - IMC '06  
Search engines are a vital part of the Web and thus the Internet infrastructure.  ...  We propose a finite-state Markov model that captures the user web searching and browsing behavior and allows us to deduce users' prevalent search patterns.  ...  The description is followed by an analysis of the user query behavior, in order to reveal some characteristics of the user population that we examine.  ... 
doi:10.1145/1177080.1177110 dblp:conf/imc/KammenhuberLFW06 fatcat:7qtgw6kwjzh2dpfrcewv53lpfy
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