Filters








146,529 Hits in 3.9 sec

Predicting query performance on the web

Niranjan Balasubramanian, Giridhar Kumaran, Vitor R. Carvalho
2010 Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '10  
We present Rank-time Performance Prediction (RAPP), an effective and efficient approach for online performance prediction on the web.  ...  Predicting the performance of web queries is useful for several applications such as automatic query reformulation and automatic spell correction.  ...  However, most post-retrieval query performance predictors are expensive to compute, and not well-suited for the web.  ... 
doi:10.1145/1835449.1835615 dblp:conf/sigir/BalasubramanianKC10a fatcat:ke4zetxa25gatk7gy2o3mgl25y

Query performance prediction in web search environments

Yun Zhou, W. Bruce Croft
2007 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '07  
We focus on performance prediction for two types of queries in web search environments: content-based and Named-Page finding. Our evaluation is mainly performed on the GOV2 collection.  ...  Results show that our prediction of web query performance is substantially more accurate than the current stateof-the-art prediction techniques.  ...  Similar prediction accuracy on the GOV2 collection using another technique is reported in [2] , confirming the difficult of predicting query performance on a large web collection.  ... 
doi:10.1145/1277741.1277835 dblp:conf/sigir/ZhouC07 fatcat:ecxyackbu5e3hc4v6gn6dnygee

Predicting the performance of globus monitoring and discovery service (MDS-2) queries

H.N.L.C. Keung, J.R.D. Dyson, S.A. Jarvis, G.R. Nudd
Proceedings. First Latin American Web Congress  
Based on the GIIS performance data collected, the values for the performance metrics are predicted using different algorithms.  ...  Thus, past performance observations can be used to qualitatively characterise the future performance of the GIIS, allowing Grid middleware built on these services to be more predictable.  ...  N68171-01-C-9012) and the EPSRC (contract no. GR/R47424/01).  ... 
doi:10.1109/grid.2003.1261713 dblp:conf/grid/KeungDJN03 fatcat:2viqmbuo5nfgfb3kshl3lpks5i

Exploring reductions for long web queries

Niranjan Balasubramanian, Giridhar Kumaran, Vitor R. Carvalho
2010 Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '10  
However, query reduction on the web is hampered by the lack of accurate query performance predictors and the constraints imposed by search engine architectures and ranking algorithms.  ...  We find that the proposed techniques deliver consistent retrieval gains where it matters most: poorly performing long web queries.  ...  The authors also thank the anonymous reviewers for their helpful comments and suggestions.  ... 
doi:10.1145/1835449.1835545 dblp:conf/sigir/BalasubramanianKC10 fatcat:5m6azssfubfbjnhehyivngef5e

ProMWS: Proactive mobile Web service provision using context-awareness

Chii Chang, Sea Ling, Shonali Krishnaswamy
2011 2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)  
The proposed strategy predicts the mobile user's query, and cooperates with remote services to pre-fetch the service to the cache of mobile device in advance before the user requests for it.  ...  This paper introduces ProMWS, a context-aware mobile Web service pre-fetching strategy to enable proactive service provisioning based on user preference and context.  ...  An extended approach proposed by [10] applied compound access graph to perform prediction based on the most recent browsing histories and the relationship between web pages.  ... 
doi:10.1109/percomw.2011.5766973 dblp:conf/percom/ChangLK11 fatcat:qlekhior5ncbrprwhbhhhpoq4u

HPM: A Hybrid Model for User's Behavior Prediction Based on N-Gram Parsing and Access Logs

Sonia Setia, Verma Jyoti, Neelam Duhan, David Ruano-Ordás
2020 Scientific Programming  
The proposed method uses N-gram parsing along with the click count of the queries to capture more contextual information as an effort to improve the prediction of web pages.  ...  To reduce this delay, prefetching techniques have been used to predict the users' browsing behavior to fetch the web pages before the user explicitly demands that web page.  ...  Related Work Web prediction is a classification problem to predict the next web page that a user may visit based on its browsing history.  ... 
doi:10.1155/2020/8897244 fatcat:jur7igpelrabffx7fsz5zr6zau

Predicting Antimicrobial Drug Consumption using Web Search Data

Niels Dalum Hansen, Kåre Mølbak, Ingemar J. Cox, Christina Lioma
2018 Proceedings of the 2018 International Conference on Digital Health - DH '18  
To this end, we study how well antimicrobial drug consumption can be predicted based on web search queries, compared to historical purchase data of antimicrobial drugs.  ...  We find that predictions based on web search data are marginally more erroneous but overall on a par with predictions based on purchases of antimicrobial drugs.  ...  Next we analyse the impact of web search query selection to prediction performance. Web search query analysis.  ... 
doi:10.1145/3194658.3194667 dblp:conf/ehealth/HansenMCL18 fatcat:zn4w6563qfc2xe4ifkqf5p65rm

Data Mining in Web Search Engine Optimization and User Assisted Rank Results

Minky Jindal, Nisha Kharb
2014 International Journal of Computer Applications  
The content search over the web is one of the important research area comes under the web content mining. According to a traditional search engine, the search is based on the content based matching.  ...  the spam links over the web and efficient search optimization model over the open web.  ...  Based on which a acyclic web path is generated and based on the weightage assigned to this web path the prediction is performed [8] .  ... 
doi:10.5120/16611-6448 fatcat:tnvj7hpr45ewdlrmyuuatbvqd4

Predicting short-term interests using activity-based search context

Ryen W. White, Paul N. Bennett, Susan T. Dumais
2010 Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10  
page visits) for building predictive interest models, and; (iii) investigate optimally combining the query and its context by learning a model that predicts the context weight for each query.  ...  In our study we: (i) determine the extent of opportunity for using context to model intent; (ii) compare the utility of different sources of behavioral evidence (queries, search result clicks, and Web  ...  From the figure it appears that we perform well when predictions place a large amount of weight on the context.  ... 
doi:10.1145/1871437.1871565 dblp:conf/cikm/WhiteBD10 fatcat:64kkxqo6qbf7lact3frukus4yy

Predicting SPARQL Query Performance and Explaining Linked Data [chapter]

Rakebul Hasan
2014 Lecture Notes in Computer Science  
In this paper, firstly we address the problem of SPARQL query performance prediction. Secondly we discuss how to explain Linked Data in a decentralized fashion.  ...  As the complexity of the Semantic Web increases, efficient ways to query the Semantic Web data is becoming increasingly important.  ...  Acknowledgments: This work is supported by the ANR CONTINT program under the Kolflow project (ANR-2010-CORD-021-02).  ... 
doi:10.1007/978-3-319-07443-6_53 fatcat:h7xxf6wr4bfcjmysyiruee22im

An Interaction Mining Approach for Classifying User Intent on the Web

Loredana Caruccio, Vincenzo Deufemia, Giuseppe Polese
2015 Proceedings of the 21st International Conference on Distributed Multimedia Systems  
One of the crucial steps to achieve this is to classify internet queries based on available features, such as contextual information, keywords and their semantic relationships.  ...  To this end, we have performed several experiments aiming to empirically derive a suitable classifier based on the mentioned features.  ...  It is useful to catch the best performance; • Subsets: it predicts the classifier better performing on each subset of features. min j∈J x i,j ∀ i ∈ I (4) so that we can easily derive the best performing  ... 
doi:10.18293/dms2015-045 dblp:conf/dms/CaruccioDP15 fatcat:wqoywhgtqvdu3ecslefe2mumw4

Predicting query difficulty on the web by learning visual clues

Eric C. Jensen, Steven M. Beitzel, David Grossman, Ophir Frieder, Abdur Chowdhury
2005 Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '05  
We describe a method for predicting query difficulty in a precision-oriented web search task.  ...  Additionally, relying only on visual clues avoids the need for collection statistics that are required by these prior approaches.  ...  Somewhat surprisingly, learning on the union of all visual and query-based features does not improve performance.  ... 
doi:10.1145/1076034.1076155 dblp:conf/sigir/JensenBGFC05 fatcat:ck6jsgos4bf6jfkbycjv5kvi4u

Predicting Evacuation Decisions using Representations of Individuals' Pre-Disaster Web Search Behavior

Takahiro Yabe, Kota Tsubouchi, Toru Shimizu, Yoshihide Sekimoto, Satish V. Ukkusuri
2019 Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining - KDD '19  
In addition to the studies on post-disaster analysis of evacuation behavior, there are various works that attempt to predict the evacuation decisions beforehand.  ...  More specifically, we utilize a "session-based query encoder" that learns the representations of each user's web search behavior prior to evacuation.  ...  To evaluate the predictive performance using the user representations, we compared performances with the case using one-hot encoding of queries (e.g. Classifier.  ... 
doi:10.1145/3292500.3330697 dblp:conf/kdd/YabeTSSU19 fatcat:66llgor7hndr3og4hclci65raq

Learning to aggregate vertical results into web search results

Jaime Arguello, Fernando Diaz, Jamie Callan
2011 Proceedings of the 20th ACM international conference on Information and knowledge management - CIKM '11  
The task requires predicting not only which verticals to present (the focus of most prior research), but also predicting where in the Web results to present them (i.e., above or below the Web results,  ...  Aggregated search is the task of integrating results from potentially multiple specialized search services, or verticals, into the Web search results.  ...  That is, on average, the preferred presentation is the one closest to σ * q based on K * . Approaches are compared based on average performance across queries using 10-fold cross-validation.  ... 
doi:10.1145/2063576.2063611 dblp:conf/cikm/ArguelloDC11 fatcat:x4bi7owrdbd65arqv4o643q6tu

Web projections

Jure Leskovec, Susan Dumais, Eric Horvitz
2007 Proceedings of the 16th international conference on World Wide Web - WWW '07  
We describe the method and present experiments that illustrate the construction of predictive models of search result quality and user query reformulation.  ...  We introduce web projections, a methodology that generalizes prior efforts on exploiting graphical relationships of the web in several ways.  ...  We believe that the represented work captures a starting point with the use of web projections.  ... 
doi:10.1145/1242572.1242636 dblp:conf/www/LeskovecDH07 fatcat:txyojje3y5dt7pnircu2wpuzfm
« Previous Showing results 1 — 15 out of 146,529 results