Conference Papers

Peer-reviewed papers, published in conference proceedings.

Twitter aspects

Identifying Entity Aspects in Microblog Posts

0
2 weeks ago
by in , ,

To appear

Online rep­u­ta­tion man­age­ment is about mon­i­tor­ing and han­dling the pub­lic image of enti­ties (such as com­pa­nies) on the Web. An impor­tant task in this area is iden­ti­fy­ing aspects of the entity of inter­est (such as prod­ucts, ser­vices, com­peti­tors, key peo­ple, etc.) given a stream of microblog posts refer­ring More >

Research on Twitter

Adding Semantics to Microblog Posts

1
3 months ago
by in ,

Microblogs have become an impor­tant source of infor­ma­tion for mar­ket­ing, intel­li­gence, and rep­u­ta­tion man­age­ment pur­poses. Streams of microblogs are of great value because of their direct and real-time nature. Deter­min­ing what an indi­vid­ual microblog post is about, how­ever, can be non-trivial because of cre­ative lan­guage usage, the highly con­tex­tu­al­ized and More >

Plot of a query-specific burst

Adaptive Temporal Query Modeling

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5 months ago
by in ,

We present an approach to query mod­el­ing that uses the tem­po­ral dis­tri­b­u­tion of doc­u­ments in an ini­tially retrieved set of doc­u­ments. Such dis­tri­b­u­tions tend to exhibit bursts, espe­cially in news related doc­u­ment col­lec­tions. We hypoth­e­size that doc­u­ments in those bursts are more likely to be rel­e­vant than oth­ers. Pred­i­cated on More >

social media icons

A Framework for Unsupervised Spam Detection in Social Networking Sites

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5 months ago
by in ,

Social net­work­ing sites offer users the option to sub­mit user spam reports for a given mes­sage, indi­cat­ing this mes­sage is inap­pro­pri­ate. In this paper we present a frame­work that uses these user spam reports for spam detec­tion. The frame­work is based on the HITS web link analy­sis frame­work and More >

hits per time of day

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

0
10 months ago
by in ,

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

More >

Dynamic term cloud screenshot

Online Religious Studies

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11 months ago
by in ,

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

0
11 months ago
by in ,

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 >

Wikipedia

Supervised query modeling using Wikipedia

0
1 year ago
by in ,

In a web retrieval set­ting, there is a clear need for pre­ci­sion enhanc­ing meth­ods. For exam­ple, the query “the secret gar­den” (a novel that has been adapted into movies and musi­cals) is a query that is eas­ily led astray because of the gen­er­al­ity of the indi­vid­ual query terms. While some More >

escience graph

Enabling Data Transport between Web Services

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2 years ago
by in ,

Despite numer­ous ben­e­fits, many Web Ser­vices (WS) face prob­lems with respect to data trans­port, either because SOAP doesn’t offer a scal­able way of trans­port­ing large data-sets or because orches­tra­tion work­flows (WF) don’t move data around effi­ciently. In this paper we address both prob­lems with the devel­op­ment of the Prox­yWS. More >

formula

A query model based on normalized log-likelihood

0
2 years ago
by in ,

A query is usu­ally a brief, some­times impre­cise expres­sion of an under­ly­ing infor­ma­tion need . Exam­in­ing how queries can be trans­formed to equiv­a­lent, poten­tially bet­ter queries is a theme of recur­ring inter­est to the infor­ma­tion retrieval com­mu­nity. Such trans­for­ma­tions include expan­sion of short queries to long queries, para­phras­ing queries using More >

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