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Web-page summarization using clickthrough data

Jian-Tao Sun, Dou Shen, Hua-Jun Zeng, Qiang Yang, Yuchang Lu, Zheng Chen
2005 Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '05  
In this paper, we extract the extra knowledge from the clickthrough data of a Web search engine to improve Web-page summarization.  ...  We first analyze the feasibility in utilizing the clickthrough data to enhance Web-page summarization and then propose two adapted summarization methods that take advantage of the relationships discovered  ...  Much research has also been done on using clickthrough data analysis to improve the performance of search algorithms, Web-page classification methods or metadata extraction techniques.  ... 
doi:10.1145/1076034.1076070 dblp:conf/sigir/SunSZYLC05 fatcat:3cgftw43nvchxie7j2s2dhlrse


Jian-Tao Sun, Hua-Jun Zeng, Huan Liu, Yuchang Lu, Zheng Chen
2005 Proceedings of the 14th international conference on World Wide Web - WWW '05  
This paper focuses on utilizing clickthrough data to improve Web search.  ...  In this paper, a novel approach CubeSVD is proposed to improve Web search.  ...  This paper focuses on utilizing clickthrough data to improve Web search.  ... 
doi:10.1145/1060745.1060803 dblp:conf/www/SunZLLC05 fatcat:wkfoq6bvfnhq5jrrcq7jek5wrm

Optimizing Web Search Using Spreading Activation on the Clickthrough Data [chapter]

Gui-Rong Xue, Shen Huang, Yong Yu, Hua-Jun Zeng, Zheng Chen, Wei-Ying Ma
2004 Lecture Notes in Computer Science  
In this paper, we propose a mining algorithm to utilize the user clickthrough data to improve search performance.  ...  Our approach could overcome the challenges discussed above and the experimental results on a large set of MSN click-through log data show a significant improvement on search performance over the DirectHit  ...  pages and the queries in the clickthrough data, to find the association relationship among the Web pages.  ... 
doi:10.1007/978-3-540-30480-7_42 fatcat:sx3ugu3fpzdyje3ybqcgl7ciba

The influence of caption features on clickthrough patterns in web search

Charles L. A. Clarke, Eugene Agichtein, Susan Dumais, Ryen W. White
2007 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '07  
Understanding the influence of features of these captions on Web search behavior may help validate algorithms and guidelines for their improved generation.  ...  In this paper we develop a methodology to use clickthrough logs from a commercial search engine to study user behavior when interacting with search result captions.  ...  Clickthroughs Queries and clickthroughs taken from the logs of commercial Web search engines have been widely used to improve the performance of these systems and to better understand how users interact  ... 
doi:10.1145/1277741.1277767 dblp:conf/sigir/ClarkeADW07 fatcat:b7vxir62szaepm4budrlzf7gvm

Reinforcing Web-object Categorization Through Interrelationships

2006 Data mining and knowledge discovery  
However, focusing on any single aspect of the inter-object relationship is not sufficient to fully reveal the true categories of Web objects.  ...  Experiments on a clickthrough-log dataset from the MSN search engine show that, in terms of the F 1 measure, IRC achieves a 26.4% improvement over a pure content-based classification method.  ...  Dou Shen and Qiang Yang are supported by a grant from the Hong Kong Government (RGC central allocation grant CA03/04.EG01).  ... 
doi:10.1007/s10618-005-0015-5 fatcat:zkkwu4ofk5gd3acq2ck6semfqa

Personalized Web search with location preferences

Kenneth Wai-Ting Leung, Dik Lun Lee, Wang-Chien Lee
2010 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)  
When the user clicks on a search result, the clicked result together with its associated content and location concepts are stored in the user's clickthrough data.  ...  As the amount of Web information grows rapidly, search engines must be able to retrieve information according to the user's preference.  ...  Wang-Chien Lee was supported in part by the National Science Foundation under Grant no. IIS-0534343 and CNS-0626709.  ... 
doi:10.1109/icde.2010.5447911 dblp:conf/icde/LeungLL10 fatcat:gfe7ebnnwbepfiurjfzeb5e3ru

A framework for personalizing web search with concept-based user profiles

Kenneth Wai-Ting Leung, Dik Lun Lee, Wilfred Ng, Hing Yuet Fung
2012 ACM Transactions on Internet Technology  
In the framework, an extended set of conceptual preferences was derived for a user based on the concepts extracted from the search results and the clickthrough data.  ...  In this paper, we propose a framework that supports mining a user's conceptual preferences from users' clickthrough data resulted from web search.  ...  However, the same evaluation method cannot be applied to personalized Web search, because Web queries are short and ambiguous.  ... 
doi:10.1145/2109211.2109214 fatcat:qwe7fonqmzeibn5glaigg3ilyu

Identification of factors predicting clickthrough in Web searching using neural network analysis

Ying Zhang, Bernard J. Jansen, Amanda Spink
2009 Journal of the American Society for Information Science and Technology  
We use a neural network to detect the significant influence of searching characteristics on future user clickthrough.  ...  In this research, we aim to identify factors that significantly affect the clickthrough of Web searchers. Our underlying goal is determine more efficient methods to optimize the clickthrough rate.  ...  We were surprised to learn that only a few neural networks have been applied to the analysis of Web search engine logs.  ... 
doi:10.1002/asi.20993 fatcat:k45unqbdr5glxialxd4k4z5oe4

Personalized Concept-Based Clustering of Search Engine Queries

K.W.-T. Leung, W. Ng, Dik Lun Lee
2008 IEEE Transactions on Knowledge and Data Engineering  
To evaluate the effectiveness of our technique, a Google middleware was developed for collecting clickthrough data to conduct experimental evaluation.  ...  To alleviate this problem, some search engines suggest terms that are semantically related to the submitted queries so that users can choose from the suggestions the ones that reflect their information  ...  The authors would like to thank the editors and reviewers, who gave very insightful and encouraging comments.  ... 
doi:10.1109/tkde.2008.84 fatcat:3rqp3mcwpnh3bddudzxaldfkbe

Smoothing Click Counts for Aggregated Vertical Search [chapter]

Jangwon Seo, W. Bruce Croft, Kwang Hyun Kim, Joon Ho Lee
2011 Lecture Notes in Computer Science  
Clickthrough data is a critical feature for improving web search ranking.  ...  In addition to the well-known problem of rank bias, clickthrough data recorded in the aggregated search environment suffers from severe sparseness problems due to the limited number of results presented  ...  Any opinions, findings and conclusions or recommendations expressed in this material are the authors' and do not necessarily reflect those of the sponsor.  ... 
doi:10.1007/978-3-642-20161-5_39 fatcat:3j74o4muc5d2nnez6cxighblty

Improving web search ranking by incorporating user behavior information

Eugene Agichtein, Eric Brill, Susan Dumais
2006 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '06  
We show that incorporating user behavior data can significantly improve ordering of top results in real web search setting.  ...  We show that incorporating implicit feedback can augment other features, improving the accuracy of a competitive web search ranking algorithms by as much as 31% relative to the original performance.  ...  At the same time, while recent work (e.g., [26] ) on using clickthrough information for improving web search ranking is promising, it captures only one aspect of the user interactions with web search  ... 
doi:10.1145/1148170.1148177 dblp:conf/sigir/AgichteinBD06 fatcat:xsewkoz2bzgu5kx4wbqj5kel24

Analyzing clickthrough data to evaluate Freesound retrieval quality

Dara Dabiri, Xavier Serra, Frederic Font
2013 Zenodo  
Automatically judging the quality of the ranking algorithms based on user clickthrough data holds promise for analyzing retrieval quality faster and cheaper.  ...  Freesound's search functionality is one the feature that is used by thousands of users everyday.  ...  They list three main challenges with respect to these methods: 1) Noise in clickthrough data can introduce inaccurate metadata to associated web pages; 2) Since web users are more likely to click on a  ... 
doi:10.5281/zenodo.3754331 fatcat:rsuxsjkrangzvp2ejpopjb3dle

Recommending interesting activity-related local entities

Jie Tang, Ryen W. White, Peter Bailey
2011 Proceedings of the 34th international ACM SIGIR conference on Research and development in Information - SIGIR '11  
We describe and evaluate methods to identify such activity-related local entities.  ...  When searching for entities with a strong local character (e.g., a museum), people may also be interested in discovering proximal activity-related entities (e.g., a café).  ...  Max-flow: We run a max-flow algorithm on the merged affinity matrix to generate a new affinity matrix , where corresponds to the maximum amount of flow that can be pushed from  ... 
doi:10.1145/2009916.2010099 dblp:conf/sigir/TangWB11 fatcat:mtqvhpxcbrhzljjocagmcrpgny

Mining Web Graphs for Recommendations

Hao Ma, Irwin King, Michael R. Lyu
2012 IEEE Transactions on Knowledge and Data Engineering  
As the exponential explosion of various contents generated on the Web, Recommendation techniques have become increasingly indispensable.  ...  No matter what types of data sources are used for the recommendations, essentially these data sources can be modeled in the form of various types of graphs.  ...  ACKNOWLEDGMENTS The work described in this paper was fully supported by two grants from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No.  ... 
doi:10.1109/tkde.2011.18 fatcat:wv56jllhzbhrtb3gxkbnxdt4ze


Bin Cao, Jian-Tao Sun, Evan Wei Xiang, Derek Hao Hu, Qiang Yang, Zheng Chen
2009 Proceeding of the 18th ACM conference on Information and knowledge management - CIKM '09  
Experiments on a real world clickthrough log data show that our proposed PQC algorithm can gain significant improvement compared with general QC as well as natural baselines.  ...  Users' preferences that are hidden in clickthrough logs are quite helpful for search engines to improve their understandings of users' queries.  ...  Most existing QC research focused on finding new features associated with search queries to tackle the sparseness problem, or utilizing various Web resources to obtain additional training data.  ... 
doi:10.1145/1645953.1646108 dblp:conf/cikm/CaoSXHYC09 fatcat:2d4jgxxphfbb3e4p6hbpthw2wu
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