Publications

A list of my scientific publications. You can use the menu above to filter on a specific type or use the term cloud to look for publications on a certain topic. Alternatively, you can use the search box if you know what you’re looking for. A more succinct version of this list can be found on the ILPS website.

Screenshot of the analysis webtool

Women’s views on consent, counseling and confidentiality in Pmtct: a mixed-methods study in four African countries

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Accepted sub­ject to revisions.

Ambi­tious UN goals to reduce the mother-to-child trans­mis­sion of HIV have not been met in much of Sub-Saharan Africa. This paper focuses on the qual­ity of infor­ma­tion pro­vi­sion and coun­sel­ing and dis­clo­sure pat­terns in Burk­ina Faso, Kenya, Malawi and Uganda to iden­tify how ser­vices More >

hits per time of day

People searching for people: analysis of a people search engine log

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Recent years show an increas­ing inter­est in ver­ti­cal search: search­ing within a par­tic­u­lar type of infor­ma­tion. Under­stand­ing what peo­ple search for in these “ver­ti­cals” gives direc­tion to research and pro­vides point­ers for the search engines them­selves. In this paper we ana­lyze the search logs of one par­tic­u­lar ver­ti­cal: peo­ple

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Dynamic term cloud screenshot

Online Religious Studies

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Data tran­si­tions have rev­o­lu­tion­ized many sci­en­tific dis­ci­plines, start­ing with the exact sci­ences, then the life sci­ences, and now the social sci­ences and human­i­ties are in the process of mak­ing the tran­si­tion to becom­ing data inten­sive sci­ences, with descrip­tions through quan­ti­ta­tive mea­sure­ments. New analy­sis tools, and pub­licly acces­si­ble utter­ances, opin­ions, trans­ac­tions More >

Classifying People Queries

Classifying Queries Submitted to a Vertical Search Engine

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We pro­pose and moti­vate a scheme for clas­si­fy­ing queries sub­mit­ted to a peo­ple search engine. We spec­ify a num­ber of fea­tures for auto­mat­i­cally clas­si­fy­ing peo­ple queries into the pro­posed classes and exam­ine the effec­tive­ness of these fea­tures. Our main find­ing is that clas­si­fi­ca­tion is fea­si­ble and that using infor­ma­tion from More >

Dutch Belgian Information Retrieval Workshop logo

Dir 2011: the eleventh Dutch-Belgian information retrieval workshop

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The 11th edi­tion of the annual Dutch-Belgian Infor­ma­tion Retrieval work­shop (DIR 2011) took place on Feb­ru­ary 4 in Ams­ter­dam. It was orga­nized by the Uni­ver­sity of Ams­ter­dam and the Cen­trum Wiskunde & Infor­mat­ica. The focus of this year’s work­shop was on inter­ac­tion, with the goal of facil­i­tat­ing and increas­ing More >

DBpedia

Mapping queries to the Linking Open Data cloud: A case study using DBpedia

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We intro­duce the task of map­ping search engine queries to DBpe­dia, a major link­ing hub in the Link­ing Open Data cloud. We pro­pose and com­pare var­i­ous meth­ods for address­ing this task, using a mix­ture of infor­ma­tion retrieval and machine learn­ing tech­niques. Specif­i­cally, we present a super­vised machine learning-based method to More >

Trade-off between diversity and precision

Result diversification based on query-specific cluster ranking

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Result diver­si­fi­ca­tion is a retrieval strat­egy for deal­ing with ambigu­ous or multi-faceted queries by pro­vid­ing doc­u­ments that cover as many facets of the query as pos­si­ble. We pro­pose a result diver­si­fi­ca­tion frame­work based on query-specific clus­ter­ing and clus­ter rank­ing, in which diver­si­fi­ca­tion is restricted to doc­u­ments belong­ing to clus­ters that More >

TREC

The University of Amsterdam at Trec 2010: Session, Entity, and Relevance Feedback

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We describe the par­tic­i­pa­tion of the Uni­ver­sity of Amsterdam’s ILPS group in the ses­sion, entity, and rel­e­vance feed­back track at TREC 2010. In the Ses­sion Track we explore the use of blind rel­e­vance feed­back to bias a follow-up query towards or against the top­ics cov­ered in doc­u­ments returned More >

Dutch Belgian Information Retrieval Workshop logo

Dir 2011 — Dutch-Belgian Information Retrieval Workshop

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DIR 2011, the 11th Dutch-Belgian Infor­ma­tion Retrieval Work­shop, was orga­nized by the Infor­ma­tion and Lan­guage Pro­cess­ing group (ILPS) of the Uni­ver­sity of Ams­ter­dam in col­lab­o­ra­tion with the Cen­trum Wiskunde en Infor­mat­ica (CWI). Two types of sub­mis­sions were accepted for the work­shop: research papers describ­ing orig­i­nal research, com­pressed con­tri­bu­tions pre­sent­ing a More >

Springer logo

Statistical Language Models for Information Access: A Practical Guide

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