A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf.
Filters
Smoothing clickthrough data for web search ranking
2009
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '09
Preserved Fulltext
Incorporating features extracted from clickthrough data (called clickthrough features) has been demonstrated to significantly improve the performance of ranking models for Web search applications. ...
Both methods are evaluated on real-world data in three Web search domains. ...
Previous work has utilized clickthrough data as implicit feedback for Web search ranking in two different ways. ...
doi:10.1145/1571941.1572003
dblp:conf/sigir/GaoYLDN09
fatcat:s6sj6jzejfdz3nst4nzea7icra
Smoothing Click Counts for Aggregated Vertical Search
[chapter]
2011
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf.
Clickthrough data is a critical feature for improving web search ranking. ...
Using real clickthrough data from a vertical recorded in an aggregated search environment, we show empirically that clickthrough data smoothed by this technique is effective for improving the vertical ...
Acknowledgments This work was supported in part by the Center for Intelligent Information Retrieval, in part by NHN Corp. and in part by NSF grant #IIS-0711348. ...
doi:10.1007/978-3-642-20161-5_39
fatcat:3j74o4muc5d2nnez6cxighblty
CubeSVD
2005
Proceedings of the 14th international conference on World Wide Web - WWW '05
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
This paper focuses on utilizing clickthrough data to improve Web search. ...
As the competition of Web search market increases, there is a high demand for personalized Web search to conduct retrieval incorporating Web users' information needs. ...
However, it was not used for Web search application. The technique introduced in [14] uses clickthrough data in order to improve the quality of Web search. ...
doi:10.1145/1060745.1060803
dblp:conf/www/SunZLLC05
fatcat:wkfoq6bvfnhq5jrrcq7jek5wrm
Click-based evidence for decaying weight distributions in search effectiveness metrics
2009
Information retrieval (Boston)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We describe a process for extrapolating user observations from query log clickthroughs, and employ this user model to measure the quality of effectiveness weighting distributions. ...
In addition, using past TREC data as to indicate likelihood of relevance, we also show that the distributions employed in the BPref and MRR metrics are the best fit out of the measures for which static ...
One simple way of forming an observation model is to note the rank positions of users' clickthroughs, data that is readily available in the web search context. ...
doi:10.1007/s10791-009-9099-7
fatcat:zaxd4u6sdfdhjj4qvgkskxx6hy
Implementation of Ontology based Personalized Search Filtering (OBPSF) on Smartphone
2017
International Journal of Engineering Research and
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The user preferences are organized in an ontology-based, multifacet user profile, which are used to adapt a personalized ranking function for rank adaptation of future search results. ...
In a ontology based personalized search filtering (OBPSF) on smart phone that captures the users' preferences in the form of concepts by mining their clickthrough data. ...
These interactions can serve as a significant source of information for improving web search result ranking. ...
doi:10.17577/ijertv6is040789
fatcat:2ljwuff6njeyxl2dgvfxdstebe
Reranking search results for sparse queries
2011
Proceedings of the 20th ACM international conference on Information and knowledge management - CIKM '11
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
However, when a new or unusual query appears, or when a system is not as widely used as a mainstream web search system, there may be little to no click data available to improve the results. ...
In this work we describe a way to boost rarely-clicked queries in a system where limited clickthrough data is available for all queries. ...
INTRODUCTION Clickthrough data from query logs is widely used to improve document ranking [1, 8, 9, 10, 14, 15, 25] . But how does it work for new or unusual queries in a search system? ...
doi:10.1145/2063576.2063606
dblp:conf/cikm/AktolgaA11
fatcat:nlcya5iaf5hc3pspioxvv4vblq
Improving retrieval accuracy by weighting document types with clickthrough data
2007
Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '07
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
For enterprise search, there exists a relationship between work task and document type that can be used to refine search results [3] . ...
Using the W3C collection from the TREC Enterprise track for evaluations, our approach leads to significant improvements on search precision. ...
Our objective is to find relevant document type(s) for the expert search task and rank documents from this type higher to improve search precisions. ...
doi:10.1145/1277741.1277895
dblp:conf/sigir/YeungCB07
fatcat:jdldlhxlyfet7mdt72s2h3tlpi
Discovering missing click-through query language information for web search
2011
Proceedings of the 20th ACM international conference on Information and knowledge management - CIKM '11
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The click-through information in web query logs has been widely used for web search tasks. ...
In this paper, we adapt two language modeling based approaches to address this issue in the context of using web query logs for web search. ...
For example, click-through information can be used to derive labeled training data for optimizing web ranking functions used by web search engines [14, 26] ; user clicks can be directly used as relevance ...
doi:10.1145/2063576.2063604
dblp:conf/cikm/YiA11
fatcat:or4ulroflnexjl6hpgxmoepeyy
Query expansion using path-constrained random walks
2013
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '13
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Evaluation is performed on the Web document ranking task using a real-world data set. ...
This paper exploits Web search logs for query expansion (QE) by presenting a new QE method based on path-constrained random walks (PCRW), where the search logs are represented as a labeled, directed graph ...
CONCLUSIONS This paper exploits search logs for QE for Web search ranking. ...
doi:10.1145/2484028.2484058
dblp:conf/sigir/GaoXX13
fatcat:tizvpq6w4beltp5d2lfowht2xa
Spying Out Accurate User Preferences for Search Engine Adaptation
[chapter]
2006
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Recently, some researchers have studied the use of clickthrough data to adapt a search engine's ranking function. Clickthrough data indicate for each query the results that are clicked by users. ...
As a kind of implicit relevance feedback information, clickthrough data can easily be collected by a search engine. ...
Introduction The information on the Web is huge and growing rapidly. An effective search engine is an important means for users to find the desired information from billions of Web pages. ...
doi:10.1007/11899402_6
fatcat:o4difh5ntjfpdgkaknocvo6kay
Clickthrough-based latent semantic models for web search
2011
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information - SIGIR '11
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
This paper presents two new document ranking models for Web search based upon the methods of semantic representation and the statistical translation-based approach to information retrieval (IR). ...
These models are evaluated on the Web search task using a real world data set. Results show that they significantly outperform their corresponding baseline models, which are state-of-the-art. ...
In this paper we present two new document ranking models for Web search, a bilingual topic model and a discriminative projection model. Both models are learned on clickthrough data. ...
doi:10.1145/2009916.2010007
dblp:conf/sigir/GaoTY11
fatcat:wcre2utsz5ekpiwu73wa3saq4e
Clickthrough-based translation models for web search
2010
Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Web search is challenging partly due to the fact that search queries and Web documents use different language styles and vocabularies. ...
This paper provides a quantitative analysis of the language discrepancy issue, and explores the use of clickthrough data to bridge documents and queries. ...
ACKNOWLEDGMENTS The authors would like to thank Chris Quirk, Xiaolong Li, Kuansan Wang and Guihong Cao for the very helpful discussions and collaboration. ...
doi:10.1145/1871437.1871582
dblp:conf/cikm/GaoHN10
fatcat:orrfszivqnavfbjpxhpgswwyxe
Learning deep structured semantic models for web search using clickthrough data
2013
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management - CIKM '13
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2014; you can also visit the original URL.
The file type is application/pdf.
The new models are evaluated on a Web document ranking task using a real-world data set. ...
The proposed deep structured semantic models are discriminatively trained by maximizing the conditional likelihood of the clicked documents given a query using the clickthrough data. ...
Web search. ...
doi:10.1145/2505515.2505665
dblp:conf/cikm/HuangHGDAH13
fatcat:6kuujlxihvfh7asjrbdfovgdkm
Mining User preference using Spy voting for search engine personalization
2007
ACM Transactions on Internet Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2009; you can also visit the original URL.
The file type is application/pdf.
We present a new approach to mining a user's preferences on the search results from clickthrough data and using the discovered preferences to adapt the search engine's ranking function for improving search ...
This paper addresses search engine personalization. ...
Then, the user submits queries and clicks on the search results while the search engine logs the user's actions as clickthrough data for analysis. ...
doi:10.1145/1278366.1278368
fatcat:ww6m3z53unforod3irnxf5b6ti
PMSE: A Personalized Mobile Search Engine
2013
IEEE Transactions on Knowledge and Data Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We propose a personalized mobile search engine, PMSE, that captures the users' preferences in the form of concepts by mining their clickthrough data. ...
The user preferences are organized in an ontology-based, multi-facet user profile, which are used to adapt a personalized ranking function for rank adaptation of future search results. ...
ACKNOWLEDGMENTS We would like to express our sincere thanks to the editors and the reviewers for giving very insightful and encouraging comments. ...
doi:10.1109/tkde.2012.23
fatcat:24uwnbkzpjdsjawd3niyjuuet4
« Previous
Showing results 1 — 15 out of 320 results