Person: Iadh Ounis

DBLP: Ounis:Iadh

Facilitated 2 volumes:

Ed

Ed

Contributed to:

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Wrote 88 papers:

SIGIR-2015-AlbakourMO #data type #identification #metadata #topic #using

Using Sensor Metadata Streams to Identify Topics of Local Events in the City (MDA, CM, IO), pp. 711–714.

SIGIR-2015-FangOHML #classification #topic #twitter

Topic-centric Classification of Twitter User’s Political Orientation (AF, IO, PH, CM, NL), pp. 791–794.

SIGIR-2015-KharitonovMSO #online #scheduling

Optimised Scheduling of Online Experiments (EK, CM, PS, IO), pp. 453–462.

SIGIR-2015-KharitonovVMSO #online #testing

Sequential Testing for Early Stopping of Online Experiments (EK, AV, CM, PS, IO), pp. 473–482.

SIGIR-2015-SantoMMO #query

Comparing Approaches for Query Autocompletion (GDS, RM, CM, IO), pp. 775–778.

CIKM-2014-DeveaudAMMO #named #personalisation #recommendation

SmartVenues: Recommending Popular and Personalised Venues in a City (RD, MDA, JM, CM, IO), pp. 2078–2080.

CIKM-2014-DeveaudAMO #learning #on the #rank

On the Importance of Venue-Dependent Features for Learning to Rank Contextual Suggestions (RD, MDA, CM, IO), pp. 1827–1830.

CIKM-2014-LimsopathamMO #modelling #multi #ranking #towards

Modelling Relevance towards Multiple Inclusion Criteria when Ranking Patients (NL, CM, IO), pp. 1639–1648.

CIKM-2014-McCreadieMO #adaptation #incremental #summary

Incremental Update Summarization: Adaptive Sentence Selection based on Prevalence and Novelty (RM, CM, IO), pp. 301–310.

ECIR-2014-AlbakourMOCB #information management

Information Access in Smart Cities (i-ASC) (MDA, CM, IO, CLAC, VB), pp. 810–814.

ECIR-2014-CatenaMO #on the #performance

On Inverted Index Compression for Search Engine Efficiency (MC, CM, IO), pp. 359–371.

ECIR-2014-DincerOM #evaluation #retrieval

Tackling Biased Baselines in the Risk-Sensitive Evaluation of Retrieval Systems (BTD, IO, CM), pp. 26–38.

ECIR-2014-McDonaldMOG #classification #overview #perspective #towards

Towards a Classifier for Digital Sensitivity Review (GM, CM, IO, TG), pp. 500–506.

ECIR-2014-ThumaRO #detection #query #retrieval

Detecting Missing Content Queries in an SMS-Based HIV/AIDS FAQ Retrieval System (ET, SR, IO), pp. 247–259.

SIGIR-2014-DincerMO #evaluation #retrieval #testing

Hypothesis testing for the risk-sensitive evaluation of retrieval systems (BTD, CM, IO), pp. 23–32.

CIKM-2013-AlbakourMO #effectiveness #microblog #on the #realtime

On sparsity and drift for effective real-time filtering in microblogs (MDA, CM, IO), pp. 419–428.

CIKM-2013-BroccoloMOOPST #distributed

Load-sensitive selective pruning for distributed search (DB, CM, SO, IO, RP, FS, NT), pp. 379–388.

CIKM-2013-KharitonovMSO #using

Using historical click data to increase interleaving sensitivity (EK, CM, PS, IO), pp. 679–688.

ECIR-2013-FreireMTOC #hybrid #query #scheduling

Hybrid Query Scheduling for a Replicated Search Engine (AF, CM, NT, IO, FC), pp. 435–446.

ECIR-2013-LimsopathamMO

Aggregating Evidence from Hospital Departments to Improve Medical Records Search (NL, CM, IO), pp. 279–291.

ECIR-2013-LimsopathamMO13a #documentation #query #representation

A Task-Specific Query and Document Representation for Medical Records Search (NL, CM, IO), pp. 747–751.

SIGIR-2013-KharitonovMSO #evaluation #metric #modelling #query

User model-based metrics for offline query suggestion evaluation (EK, CM, PS, IO), pp. 633–642.

SIGIR-2013-LimsopathamMO #learning

Learning to combine representations for medical records search (NL, CM, IO), pp. 833–836.

SIGIR-2013-McCreadieMO #what

News vertical search: when and what to display to users (RM, CM, IO), pp. 253–262.

CIKM-2012-MacdonaldSO #learning #on the #query #rank

On the usefulness of query features for learning to rank (CM, RLTS, IO), pp. 2559–2562.

CIKM-2012-McCreadieMOGJ #crowdsourcing #using #web

An examination of content farms in web search using crowdsourcing (RM, CM, IO, JG, FJ), pp. 2551–2554.

SIGIR-2012-FreireMTOC #query #scheduling

Scheduling queries across replicas (AF, CM, NT, IO, FC), pp. 1139–1140.

SIGIR-2012-LimsopathamMMO #dependence

Exploiting term dependence while handling negation in medical search (NL, CM, RM, IO), pp. 1065–1066.

SIGIR-2012-MacdonaldTO #learning #online #predict #query #scheduling

Learning to predict response times for online query scheduling (CM, NT, IO), pp. 621–630.

SIGIR-2012-MacdonaldTO12a #effectiveness #learning #rank #safety

Effect of dynamic pruning safety on learning to rank effectiveness (CM, NT, IO), pp. 1051–1052.

SIGIR-2012-McCreadieMO #automation #crowdsourcing #named

CrowdTerrier: automatic crowdsourced relevance assessments with terrier (RM, CM, IO), p. 1005.

SIGIR-2012-McCreadieSLMOM #corpus #on the #reuse #twitter

On building a reusable Twitter corpus (RM, IS, JL, CM, IO, DM), pp. 1113–1114.

CIKM-2011-SantosMO #effectiveness

Effectiveness beyond the first crawl tier (RLTS, CM, IO), pp. 1937–1940.

ECIR-2011-MacdonaldO #learning #modelling #ranking

Learning Models for Ranking Aggregates (CM, IO), pp. 517–529.

SIGIR-2011-LimsopathamSMO #using

Disambiguating biomedical acronyms using EMIM (NL, RLTS, CM, IO), pp. 1213–1214.

SIGIR-2011-SantosMO

Intent-aware search result diversification (RLTS, CM, IO), pp. 595–604.

SIGIR-2011-SantosMO11a #metric #on the #ranking

On the suitability of diversity metrics for learning-to-rank for diversity (RLTS, CM, IO), pp. 1185–1186.

SIGIR-2011-SantosMO11b #how #question #web

How diverse are web search results? (RLTS, CM, IO), pp. 1187–1188.

SIGIR-2011-TonellottoMO #order #retrieval

Effect of different docid orderings on dynamic pruning retrieval strategies (NT, CM, IO), pp. 1179–1180.

CIKM-2010-SantosMO #web

Selectively diversifying web search results (RLTS, CM, IO), pp. 1179–1188.

ECIR-2010-PengMO #learning #ranking

Learning to Select a Ranking Function (JP, CM, IO), pp. 114–126.

ECIR-2010-SantosPMO

Explicit Search Result Diversification through Sub-queries (RLTS, JP, CM, IO), pp. 87–99.

CIKM-2009-HeO #documentation #feedback

Finding good feedback documents (BH, IO), pp. 2011–2014.

CIKM-2009-MacdonaldO #documentation #ranking

The influence of the document ranking in expert search (CM, IO), pp. 1983–1986.

CIKM-2009-PengMHO #case study #enterprise

A study of selective collection enrichment for enterprise search (JP, CM, BH, IO), pp. 1999–2002.

ECIR-2009-HeO #effectiveness #query

Studying Query Expansion Effectiveness (BH, IO), pp. 611–619.

ECIR-2009-PengO #independence #information retrieval #web

Selective Application of Query-Independent Features in Web Information Retrieval (JP, IO), pp. 375–387.

ECIR-2009-SantosHMO #proximity #retrieval

Integrating Proximity to Subjective Sentences for Blog Opinion Retrieval (RLTS, BH, CM, IO), pp. 325–336.

SIGIR-2009-HePO #retrieval

Fitting score distribution for blog opinion retrieval (BH, JP, IO), pp. 688–689.

SIGIR-2009-MacdonaldO #documentation #on the #ranking

On perfect document rankings for expert search (CM, IO), pp. 740–741.

SIGIR-2009-MacdonaldOS #question

Is spam an issue for opinionated blog post search? (CM, IO, IS), pp. 710–711.

SIGIR-2009-McCreadieMO #on the #pipes and filters

On single-pass indexing with MapReduce (RM, CM, IO), pp. 742–743.

CIKM-2008-HeMHO #approach #effectiveness #retrieval #statistics

An effective statistical approach to blog post opinion retrieval (BH, CM, JH, IO), pp. 1063–1072.

CIKM-2008-MacdonaldO #ranking

Key blog distillation: ranking aggregates (CM, IO), pp. 1043–1052.

ECIR-2008-HannahMO #analysis #graph

Analysis of Link Graph Compression Techniques (DH, CM, IO), pp. 596–601.

ECIR-2008-MacdonaldHO #quality

High Quality Expertise Evidence for Expert Search (CM, DH, IO), pp. 283–295.

ECIR-2008-MacdonaldO #documentation #evaluation

Expert Search Evaluation by Supporting Documents (CM, IO), pp. 555–563.

SIGIR-2008-HeMO #metric #retrieval #using

Retrieval sensitivity under training using different measures (BH, CM, IO), pp. 67–74.

SIGIR-2008-HeMO08a #ranking #using

Ranking opinionated blog posts using OpinionFinder (BH, CM, IO), pp. 727–728.

SIGIR-2008-MacdonaldHOS

Limits of opinion-finding baseline systems (CM, BH, IO, IS), pp. 747–748.

SIGIR-2008-PengMO #automation #documentation #feature model #retrieval #web

Automatic document prior feature selection for web retrieval (JP, CM, IO), pp. 761–762.

CIKM-2007-HeO #ad hoc #parametricity #probability #retrieval

Parameter sensitivity in the probabilistic model for ad-hoc retrieval (BH, IO), pp. 263–272.

CIKM-2007-MacdonaldO #query

Expertise drift and query expansion in expert search (CM, IO), pp. 341–350.

ECIR-2007-CachedaCPO #clustering #comparison #information retrieval #performance

Performance Comparison of Clustered and Replicated Information Retrieval Systems (FC, VC, VP, IO), pp. 124–135.

ECIR-2007-HeO #normalisation

Setting Per-field Normalisation Hyper-parameters for the Named-Page Finding Search Task (BH, IO), pp. 468–480.

ECIR-2007-LiomaO #information retrieval

Light Syntactically-Based Index Pruning for Information Retrieval (CL, IO), pp. 88–100.

ECIR-2007-MacdonaldO #feedback #using

Using Relevance Feedback in Expert Search (CM, IO), pp. 431–443.

ECIR-2007-PengO #documentation #information retrieval #web

Combination of Document Priors in Web Information Retrieval (JP, IO), pp. 732–736.

ECIR-2007-PlachourasO #documentation #modelling #multi #retrieval

Multinomial Randomness Models for Retrieval with Document Fields (VP, IO), pp. 28–39.

SIGIR-2007-PengMHPO #dependence #framework

Incorporating term dependency in the dfr framework (JP, CM, BH, VP, IO), pp. 843–844.

CIKM-2006-MacdonaldO #adaptation #data fusion

Voting for candidates: adapting data fusion techniques for an expert search task (CM, IO), pp. 387–396.

SIGIR-2006-MacdonaldO #email

Combining fields in known-item email search (CM, IO), pp. 675–676.

SIGIR-2006-MacdonaldO06a #framework #platform #using

Searching for expertise using the terrier platform (CM, IO), p. 732.

ECIR-2005-CachedaCPO #analysis #architecture #distributed #information retrieval #network

Network Analysis for Distributed Information Retrieval Architectures (FC, VC, VP, IO), pp. 527–529.

ECIR-2005-HeO #modelling #normalisation

Term Frequency Normalisation Tuning for BM25 and DFR Models (BH, IO), pp. 200–214.

ECIR-2005-OunisAPHMJ #framework #information retrieval #platform

Terrier Information Retrieval Platform (IO, GA, VP, BH, CM, DJ), pp. 517–519.

SIGIR-2005-HeO #case study #normalisation

A study of the dirichlet priors for term frequency normalisation (BH, IO), pp. 465–471.

ECIR-2004-CachedaPO #analysis #architecture #distributed #performance

Performance Analysis of Distributed Architectures to Index One Terabyte of Text (FC, VP, IO), pp. 394–408.

SIGIR-2004-AzmanO #clustering

Discovery of aggregate usage profiles based on clustering information needs (AA, IO), pp. 470–471.

SIGIR-2004-PlachourasO #topic

Usefulness of hyperlink structure for query-biased topic distillation (VP, IO), pp. 448–455.

CIKM-2003-HeO #case study #normalisation #parametricity

A study of parameter tuning for term frequency normalization (BH, IO), pp. 10–16.

ECIR-2003-MartinetOCM

A Weighting Scheme for Star-Graphs (JM, IO, YC, PM), pp. 546–554.

ECIR-2002-McEwanOR #documentation #parallel #web

Building Bilingual Dictionaries from Parallel Web Documents (CJAM, IO, IR), pp. 303–323.

SIGIR-2000-Ounis #image #ranking #using

Ranking digital images using combination if evidences (IO), pp. 348–350.

ACIR-1998-OunisP #concept #effectiveness #graph #performance #query #relational #using

Effective and Efficient Relational Query Processing Using Conceptual Graphs (IO, MP).

SIGIR-1998-ChiaramellaMMOP #image #performance #retrieval #towards

Towards a Fast Precision-Oriented Image Retrieval System (YC, PM, MM, IO, MP), pp. 383–384.

SIGIR-1998-OunisP #named

RELIEF: Combining Expressiveness and Rapidity into a Single System (IO, MP), pp. 266–274.

ACIR-1997-OunisH #approach #information retrieval #logic #relational

A Logical Relational Approach for Information Retrieval Indexing (IO, TWCH).