Stem popular$ (all stems)

57 papers:

ICPC-2015-YanoKII #interactive #library #named #visualisation

VerXCombo: an interactive data visualization of popular library version combinations (YY, RGK, TI, KI), pp. 291–294.

ICSME-2015-HoraV #api #migration #named

Apiwave: Keeping track of API popularity and migration (AH, MTV), pp. 321–323.

STOC-2015-AbboudWY

Matching Triangles and Basing Hardness on an Extremely Popular Conjecture (AA, VVW, HY), pp. 41–50.

ICALP-v1-2015-CsehHK

Popular Matchings with Two-Sided Preferences and One-Sided Ties (ÁC, CCH, TK), pp. 367–379.

ICALP-v2-2015-BhattacharyaHHK #maintenance

Maintaining Near-Popular Matchings (SB, MH, CCH, TK, LW), pp. 504–515.

SCSM-2015-PervinPDTT #hashtag #multi #twitter

Hashtag Popularity on Twitter: Analyzing Co-occurrence of Multiple Hashtags (NP, TQP, AD, HT, FT), pp. 169–182.

KDD-2015-ZhaoEHRL #named #predict #process #self #twitter

SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity (QZ, MAE, HYH, AR, JL), pp. 1513–1522.

HT-2014-FerraraIT #lens #online #topic

Online popularity and topical interests through the lens of instagram (EF, RI, AT), pp. 24–34.

ICSME-2014-SajnaniSOL #analysis #component #quality

Is Popularity a Measure of Quality? An Analysis of Maven Components (HS, VS, JO, CVL), pp. 231–240.

MSR-2014-AggarwalHS #co-evolution #documentation #git

Co-evolution of project documentation and popularity within github (KA, AH, ES), pp. 360–363.

CHI-2014-FigueiredoABG #case study #social #social media

Does content determine information popularity in social media?: a case study of youtube videos’ content and their popularity (FF, JMA, FB, KPG), pp. 979–982.

CIKM-2014-ChangZGCXT #modelling #online #predict

Predicting the Popularity of Online Serials with Autoregressive Models (BC, HZ, YG, EC, HX, CT), pp. 1339–1348.

CIKM-2014-DeveaudAMMO #named #personalisation #recommendation

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

ECIR-2014-OstroumovaBCTG #crawling #policy #predict #web

Crawling Policies Based on Web Page Popularity Prediction (LO, IB, AC, AT, GG), pp. 100–111.

SEKE-2014-XavierMM #comprehension #git

Understanding the popularity of reporters and assignees in the Github (JX, AM, MdAM), pp. 484–489.

SIGIR-2014-HeGKLS #predict #web

Predicting the popularity of web 2.0 items based on user comments (XH, MG, MYK, YL, KS), pp. 233–242.

SIGIR-2014-KongMFYZ #predict #realtime

Predicting bursts and popularity of hashtags in real-time (SK, QM, LF, FY, ZZ), pp. 927–930.

SAC-2014-VasconcelosAG #code review #predict #what

What makes your opinion popular?: predicting the popularity of micro-reviews in foursquare (MAV, JMA, MAG), pp. 598–603.

CIKM-2013-ArdonBMRSTT #analysis #topic #twitter

Spatio-temporal and events based analysis of topic popularity in twitter (SA, AB, AM, AR, AS, RMT, ST), pp. 219–228.

CIKM-2013-GhoreishiS #predict #query

Predicting event-relatedness of popular queries (SNG, AS), pp. 1193–1196.

CIKM-2013-KamathC #learning #predict #what

Spatio-temporal meme prediction: learning what hashtags will be popular where (KYK, JC), pp. 1341–1350.

CIKM-2013-LiMWLX #network #on the #online #predict #social

On popularity prediction of videos shared in online social networks (HL, XM, FW, JL, KX), pp. 169–178.

CIKM-2013-PalBP #named #query

RCached-tree: an index structure for efficiently answering popular queries (MP, AB, DP), pp. 1173–1176.

SIGIR-2013-ChaBHC #analysis #modelling #network #social #topic

Incorporating popularity in topic models for social network analysis (YC, BB, CCH, JC), pp. 223–232.

SAC-2013-TsukudaOYIT #analysis #coordination

Discovering unexpected information on the basis of popularity/unpopularity analysis of coordinate objects and their relationships (KT, HO, MY, HI, KT), pp. 878–885.

CSCW-2012-QuerciaLSKC #facebook

The personality of popular facebook users (DQ, RL, DS, MK, JC), pp. 955–964.

CIKM-2012-CuiZLMZ #twitter

Discover breaking events with popular hashtags in twitter (AC, MZ, YL, SM, KZ), pp. 1794–1798.

KDD-2012-BorgholACEM #video

The untold story of the clones: content-agnostic factors that impact YouTube video popularity (YB, SA, NC, DLE, AM), pp. 1186–1194.

KDD-2012-WeiZP #nondeterminism

Constructing popular routes from uncertain trajectories (LYW, YZ, WCP), pp. 195–203.

KEOD-2012-ReinosoOML #wiki

Most Popular Contents Requested by Users in Different Wikipedia Editions (AJR, JOV, RMM, CL), pp. 415–418.

RecSys-2012-PradelUG #evaluation #metric #ranking

Ranking with non-random missing ratings: influence of popularity and positivity on evaluation metrics (BP, NU, PG), pp. 147–154.

SIGIR-2012-KongFSL #microblog #predict #twitter

Predicting lifespans of popular tweets in microblog (SK, LF, GS, KL), pp. 1129–1130.

SIGIR-2012-MaSC #hashtag #question

Will this #hashtag be popular tomorrow? (ZM, AS, GC), pp. 1173–1174.

HT-2011-SquicciariniSLW #adaptation #image #named #policy #predict #resource management

A3P: adaptive policy prediction for shared images over popular content sharing sites (ACS, SS, DL, JW), pp. 261–270.

ICALP-v1-2011-HuangK #problem

Popular Matchings in the Stable Marriage Problem (CCH, TK), pp. 666–677.

KDIR-2011-OzakiE #difference #empirical #estimation

Estimation of Implicit user Influence from Proxy Logs — An Empirical Study on the Effects of Time Difference and Popularity (TO, ME), pp. 250–255.

RecSys-2011-Steck #recommendation

Item popularity and recommendation accuracy (HS), pp. 125–132.

Onward-2011-Derk #perspective #programming language #what

What makes a programming language popular?: an essay from a historical perspective (MD), pp. 163–166.

FASE-2010-BacchelliDL #fault #question

Are Popular Classes More Defect Prone? (AB, MD, ML), pp. 59–73.

CHI-2010-KellyCDNG #information management #quality #query

Effects of popularity and quality on the usage of query suggestions during information search (DK, AC, MD, XN, KG), pp. 45–54.

ICEIS-DISI-2010-CarrollKM #enterprise #information management

Going Virtual — Popular Trend or Real Prospect for Enterprise Information Systems (MC, PK, AvdM), pp. 214–222.

CIKM-2010-CarmelRY #on the

On the relationship between novelty and popularity of user-generated content (DC, HR, EYT), pp. 1509–1512.

KDD-2010-LinZMH #community #named #social #statistics

PET: a statistical model for popular events tracking in social communities (CXL, BZ, QM, JH), pp. 929–938.

SIGIR-2010-LiLX #identification #music #robust

Robust audio identification for MP3 popular music (WL, YL, XX), pp. 627–634.

ICALP-v1-2009-KavithaMN

Popular Mixed Matchings (TK, JM, MN), pp. 574–584.

CIKM-2008-KazaiM #information retrieval #social #trust

Trust, authority and popularity in social information retrieval (GK, NMF), pp. 1503–1504.

SIGIR-2008-SunHL #case study #query

Searching blogs and news: a study on popular queries (AS, MH, EPL), pp. 729–730.

ICDAR-2007-PalSWK07a #recognition

Handwritten Numeral Recognition of Six Popular Indian Scripts (UP, NS, TW, FK), pp. 749–753.

CIKM-2007-ParkR #information retrieval #mining #multi #web

Mining web multi-resolution community-based popularity for information retrieval (LAFP, KR), pp. 545–554.

ECIR-2007-SunG #library #ranking

Popularity Weighted Ranking for Academic Digital Libraries (YS, CLG), pp. 605–612.

RecSys-2007-Donaldson #hybrid #music #recommendation

A hybrid social-acoustic recommendation system for popular music (JD), pp. 187–190.

SIGIR-2007-WhiteBC #interactive #web

Studying the use of popular destinations to enhance web search interaction (RWW, MB, SC), pp. 159–166.

PODS-2006-MotwaniX #evolution #graph #modelling #random #web

Evolution of page popularity under random web graph models (RM, YX), pp. 134–142.

ICALP-v1-2006-Mestre

Weighted Popular Matchings (JM), pp. 715–726.

ICPR-v3-2004-ZhuK #segmentation

Key-Based Melody Segmentation for Popular Songs (YZ, MSK), pp. 862–865.

SIGIR-2003-FengZP #detection #music #retrieval

Popular music retrieval by detecting mood (YF, YZ, YP), pp. 375–376.

AdaEurope-1994-Schneeweiss #object-oriented

Shlaer/Mellor or Rumbaugh? A Discussion of two Popular Object-Oriented Methods (HS), pp. 155–161.