Filters








66,507 Hits in 6.4 sec

Evaluating implicit measures to improve web search

Steve Fox, Kuldeep Karnawat, Mark Mydland, Susan Dumais, Thomas White
2005 ACM Transactions on Information Systems  
The second was to understand what implicit measures were most strongly associated with user satisfaction. The domain of interest was Web search.  ...  Of growing interest in the area of improving the search experience is the collection of implicit user behavior measures (implicit measures) as indications of user interest and user satisfaction.  ...  A pattern may be thought of as a superset of several implicit measures and can be potentially improved and extended to represent those component measures correctly.  ... 
doi:10.1145/1059981.1059982 fatcat:2fxbhyrg65g7hpjfbkrpnr6cjq

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 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.  ...  We report results of a large scale evaluation over 3,000 queries and 12 million user interactions with a popular web search engine.  ...  This research, while developing valuable insights into implicit relevance measures, was not applied to improve the ranking of web search results in realistic settings.  ... 
doi:10.1145/1148170.1148177 dblp:conf/sigir/AgichteinBD06 fatcat:xsewkoz2bzgu5kx4wbqj5kel24

Personalizing Mobile Web Search for Location Sensitive Queries

Ourdia Bouidghaghen, Lynda Tamine, Mohand Boughanem
2011 2011 IEEE 12th International Conference on Mobile Data Management  
shows significant improvement on search relevance when integrated to a search engine.  ...  We believe that identifying user's geographic intent in Web search can help to personalize search results by ranking local search results higher in the search results lists.  ...  ACKNOWLEDGMENT The authors would like to thank the support of the project QUAERO, directed by OSEO agency, France.  ... 
doi:10.1109/mdm.2011.52 dblp:conf/mdm/BouidghaghenTB11 fatcat:p24c43h6qnejdoy5av7c2mwimi

Potential for personalization

Jaime Teevan, Susan T. Dumais, Eric Horvitz
2010 ACM Transactions on Computer-Human Interaction  
measure of relevance), and 3) the similarity of desktop content to search results (a content-based implicit measure of relevance).  ...  We discuss several uses of our findings, including a personalized search system that takes advantage of the implicit measures by ranking personally relevant results more highly and improving click-through  ...  for his assistance in collecting the implicit behavior-based information.  ... 
doi:10.1145/1721831.1721835 fatcat:5fun5nxuunam5itjzmk2fivjkm

The Impact of Modes of Mediation on the Web Retrieval Process [chapter]

Mandeep Pannu, Rachid Anane, Anne James
2012 Lecture Notes in Computer Science  
This paper is concerned with the investigation of mediation between users and Web search engines and the impact of different modes of mediation on the Web search effectiveness.  ...  The work is supported by an experimental evaluation of the impact of different mediation modes on documents retrieval process in terms of recall and precision.  ...  Conducted experiments indicate that mediation frameworks can improve the quality of the Web search results, with the choice of the mode of mediation being an important factor in enhancing search precision  ... 
doi:10.1007/978-3-642-32597-7_26 fatcat:ghxyvly2azap7jqdjlwszxmaym

Enriching temporal query understanding through date identification

Ricardo Campos, Gaël Dias, Alípio Mário Jorge, Célia Nunes
2012 Proceedings of the 2nd Temporal Web Analytics Workshop on - TempWeb '12  
the utmost importance in order to improve search results exploration INTRODUCTION Problem Formulation Evaluation Conclusions Approach MOTIVATION Contributions Improve Search Results Exploration  ...  nature of this type of queries, is therefore of the utmost importance in order to improve search results exploration INTRODUCTION Problem Formulation Evaluation Conclusions Approach MOTIVATION  ... 
doi:10.1145/2169095.2169103 dblp:conf/www/CamposDJN12 fatcat:uomy3ozlofam5dr3ftkrfeek6a

Co-optimization of multiple relevance metrics in web search

Dong Wang, Chenguang Zhu, Weizhu Chen, Gang Wang, Zheng Chen
2010 Proceedings of the 19th international conference on World wide web - WWW '10  
Several relevance metrics, such as NDCG, precision and pSkip, are proposed to measure search relevance, where different metrics try to characterize search relevance from different perspectives.  ...  To achieve this objective, we propose to co-optimize multiple relevance metrics and show their effectiveness.  ...  PSkip: Estimating relevance ranking quality from web search clickthrough data. Proceedings of KDD, 2009. T. Evaluating implicit measures to improve the search experience.  ... 
doi:10.1145/1772690.1772873 dblp:conf/www/WangZCWC10 fatcat:lbf3kmdjifbsdefkkbdne6mjpu

Development of Relevance Feedback System using Regression Predictive Model and TF-IDF Algorithm

​Stephen Akuma, Rahat Iqbal
2018 International Journal of Education and Management Engineering  
to improve the relevancy of retrieval results.  ...  This paper focuses on the recommendation of relevant web documents to a cohort of users based on their search behaviour. Simulated task situations were used to group users of the same domain.  ...  Context sensitive systems have been developed to improve web search.  ... 
doi:10.5815/ijeme.2018.04.04 fatcat:7bzpporvibhxlb75avqus4ko54

Implicit link analysis for small web search

Gui-Rong Xue, Hua-Jun Zeng, Zheng Chen, Wei-Ying Ma, Hong-Jiang Zhang, Chao-Jun Lu
2003 Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval - SIGIR '03  
In this paper, we propose an approach to constructing implicit links by mining users' access patterns, and then apply a modified PageRank algorithm to re-rank web-pages for small web search.  ...  However, the same techniques, when applied directly to small web search such as intranet and site search, cannot achieve the same performance because their link structures are different from the global  ...  Implicit Link Generation The goal of our work is to improve small web search by analyzing the user access log in the web site.  ... 
doi:10.1145/860435.860448 dblp:conf/sigir/XueZCMZL03 fatcat:epziztq7kvbujosfrgmqgrdd2y

Implicit link analysis for small web search

Gui-Rong Xue, Hua-Jun Zeng, Zheng Chen, Wei-Ying Ma, Hong-Jiang Zhang, Chao-Jun Lu
2003 Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval - SIGIR '03  
In this paper, we propose an approach to constructing implicit links by mining users' access patterns, and then apply a modified PageRank algorithm to re-rank web-pages for small web search.  ...  However, the same techniques, when applied directly to small web search such as intranet and site search, cannot achieve the same performance because their link structures are different from the global  ...  Implicit Link Generation The goal of our work is to improve small web search by analyzing the user access log in the web site.  ... 
doi:10.1145/860446.860448 fatcat:yrr4pm6qfjfnjf4d7tkygsvw3q

An Optimization Framework for Weighting Implicit Relevance Labels for Personalized Web Search

Yury Ustinovskiy, Gleb Gusev, Pavel Serdyukov
2015 Proceedings of the 24th International Conference on World Wide Web - WWW '15  
Implicit feedback from users of a web search engine is an essential source providing consistent personal relevance labels from the actual population of users.  ...  All our algorithms are evaluated on a large-scale query log provided by a major commercial search engine.  ...  Also we would like to thank Igor Kuralenok for valuable discussions and advice on this research.  ... 
doi:10.1145/2736277.2741105 dblp:conf/www/UstinovskiyGS15 fatcat:3lzngiwzyzhhheidg4wouoskji

Automated evaluation of search engine performance via implicit user feedback

Himanshu Sharma, Bernard J. Jansen
2005 Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '05  
Measuring the information retrieval effectiveness of Web search engines can be expensive if human relevance judgments are required to evaluate search results.  ...  Web search engines can use human evaluation of search results without the expense of human evaluators.  ...  The goal of this research is to develop a system that uses implicit user feedback for the real-time evaluation of a search engine's performance.  ... 
doi:10.1145/1076034.1076172 dblp:conf/sigir/SharmaJ05 fatcat:xnp3irh7vra5pfbysmgxvpkotu

Personalize web search results with user's location

Yumao Lu, Fuchun Peng, Xing Wei, Benoit Dumoulin
2010 Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '10  
We build a probabilistic model to identify implicit local intent queries, and leverage user's physical location to improve Web search results for these queries.  ...  Evaluation on commercial search engine shows significant improvement on search relevance and user experience.  ...  The baseline is one of the top commercial search engines. We can see from Table 1 personalized Web search results dramatically improved search relevance.  ... 
doi:10.1145/1835449.1835604 dblp:conf/sigir/LuPWD10 fatcat:twvcgjlro5fxnhfdzwzzvk4yom

Identifying "best bet" web search results by mining past user behavior

Eugene Agichtein, Zijian Zheng
2006 Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '06  
The top web search result is crucial for user satisfaction with the web search experience.  ...  We propose an effective approach of leveraging millions of past user interactions with a web search engine to automatically detect "best bet" top results preferred by majority of users.  ...  This research, while developing valuable insights into implicit relevance measures, was not applied to improve the ranking of web search results in realistic settings.  ... 
doi:10.1145/1150402.1150526 dblp:conf/kdd/AgichteinZ06 fatcat:ybkyuk2cyzg53hek7k46hdvsb4

Improving the Information Retrieval System through Effective Evaluation of Web Page in Client Side Analysis

Rekha. C, Usharani. J, K. Iyakutti
2011 International Journal of Computer Applications  
We present a new model to find a user's preferences from click through behavior and using the exposed preferences to adapt the search engine's ranking function for improving search service.  ...  Implicit feedback information improves the user modeling process. The advantage of implicit modeling is effectively improving the user model without extra effort of user.  ...  in web search, and created Bayesian models to bond implicit measures and explicit relevance judgments for both individual queries and search sessions.  ... 
doi:10.5120/1950-2608 fatcat:ua5pkdrlsfdbxgdtjuaiz2rfji
« Previous Showing results 1 — 15 out of 66,507 results