Nicola Ferro 0001, Fabio Crestani, Marie-Francine Moens, Josiane Mothe, Fabrizio Silvestri, Giorgio Maria Di Nunzio, Claudia Hauff, Gianmaria Silvello
Proceedings of the 38th European Conference on Information Retrieval Research: Advances in Information Retrieval
ECIR, 2016.

@proceedings{ECIR-2016,
	doi           = "10.1007/978-3-319-30671-1",
	editor        = "Nicola Ferro 0001 and Fabio Crestani and Marie-Francine Moens and Josiane Mothe and Fabrizio Silvestri and Giorgio Maria Di Nunzio and Claudia Hauff and Gianmaria Silvello",
	ee            = "https://www.wikidata.org/entity/Q57583491",
	isbn          = "978-3-319-30670-4",
	publisher     = "{Springer}",
	series        = "{Lecture Notes in Computer Science}",
	title         = "{Proceedings of the 38th European Conference on Information Retrieval Research: Advances in Information Retrieval}",
	volume        = 9626,
	year          = 2016,
}

Contents (89 items)

ECIR-2016-NguyenN #framework #named #social #summary

SoRTESum: A Social Context Framework for Single-Document Summarization (MTN, MLN), pp. 3–14.

ECIR-2016-AkerKBPBHG #approach #clustering #graph #online #topic

A Graph-Based Approach to Topic Clustering for Online Comments to News (AA, EK, ARB, MLP, EB, MH, RJG), pp. 15–29.

ECIR-2016-MishraB #semantics #wiki

Leveraging Semantic Annotations to Link Wikipedia and News Archives (AM, KB), pp. 30–42.

ECIR-2016-ZhangDW #case study #category theory #learning #multi #predict

Deep Learning over Multi-field Categorical Data - - A Case Study on User Response Prediction (WZ0, TD, JW0), pp. 45–57.

ECIR-2016-ZhangWWRCS #effectiveness

Supervised Local Contexts Aggregation for Effective Session Search (ZZ, JW, TW, PR, ZC, LS), pp. 58–71.

ECIR-2016-LiWPA #analysis #empirical #learning #sentiment

An Empirical Study of Skip-Gram Features and Regularization for Learning on Sentiment Analysis (CL, BW, VP, JAA), pp. 72–87.

ECIR-2016-WangGLXC #learning #multi #predict #representation

Multi-task Representation Learning for Demographic Prediction (PW, JG, YL, JX0, XC), pp. 88–99.

ECIR-2016-CroceB #kernel #learning #scalability

Large-Scale Kernel-Based Language Learning Through the Ensemble Nystr đdoto o ¨ m Methods (DC, RB0), pp. 100–112.

ECIR-2016-YangASCPCGS #effectiveness #retrieval

Beyond Factoid QA: Effective Methods for Non-factoid Answer Sentence Retrieval (LY0, QA, DS, RCC, LP, WBC, JG, FS), pp. 115–128.

ECIR-2016-BraunstainKCSS

Supporting Human Answers for Advice-Seeking Questions in CQA Sites (LB, OK, DC, IS, AS), pp. 129–141.

ECIR-2016-KimCCM #optimisation #question

Does Selective Search Benefit from WAND Optimization? (YK, JC, JSC, AM), pp. 145–158.

ECIR-2016-Welleck #optimisation #performance #ranking

Efficient AUC Optimization for Information Ranking Applications (SJW), pp. 159–170.

ECIR-2016-YangGSMSMC #modelling #ranking

Modeling User Interests for Zero-Query Ranking (LY0, QG, YS, SM, MS, KM, WBC), pp. 171–184.

ECIR-2016-JiangA #adaptation #evaluation #metric

Adaptive Effort for Search Evaluation Metrics (JJ, JA), pp. 187–199.

ECIR-2016-JurgovskyGS #memory management #performance #robust #word

Evaluating Memory Efficiency and Robustness of Word Embeddings (JJ, MG, CS), pp. 200–211.

ECIR-2016-VermaY #mobile

Characterizing Relevance on Mobile and Desktop (MV, EY), pp. 212–223.

ECIR-2016-LiEV #probability #retrieval

Probabilistic Local Expert Retrieval (WL, CE, APdV), pp. 227–239.

ECIR-2016-ChenJYYZ #graph #modelling #probability #semantics #topic

Probabilistic Topic Modelling with Semantic Graph (LC0, JMJ, HY, FY, HZ), pp. 240–251.

ECIR-2016-HeHSH #probability

Estimating Probability Density of Content Types for Promoting Medical Records Search (YH, QH, YS, LH0), pp. 252–263.

ECIR-2016-LipaniLH #bias

The Curious Incidence of Bias Corrections in the Pool (AL, ML, AH), pp. 267–279.

ECIR-2016-Zuccon #evaluation #information retrieval

Understandability Biased Evaluation for Information Retrieval (GZ), pp. 280–292.

ECIR-2016-ZhuangTD #behaviour #evaluation #information retrieval #interactive

The Relationship Between User Perception and User Behaviour in Interactive Information Retrieval Evaluation (MZ, EGT, GD), pp. 293–305.

ECIR-2016-ArguelloAD #performance #predict #query #using

Using Query Performance Predictors to Improve Spoken Queries (JA, SA, FD0), pp. 309–321.

ECIR-2016-SchedlZ #locality #music #predict #retrieval #web

Fusing Web and Audio Predictors to Localize the Origin of Music Pieces for Geospatial Retrieval (MS, FZ), pp. 322–334.

ECIR-2016-FaraldoGJH #estimation #music

Key Estimation in Electronic Dance Music (ÁF, EG, SJ, PH), pp. 335–347.

ECIR-2016-HamidHT #multi #summary

Evaluating Text Summarization Systems with a Fair Baseline from Multiple Reference Summaries (FH, DH, PT), pp. 351–365.

ECIR-2016-ChaliU #multi #semantics #summary

Multi-document Summarization Based on Atomic Semantic Events and Their Temporal Relationships (YC, MU), pp. 366–377.

ECIR-2016-AlbornozAPG #online #summary #twitter

Tweet Stream Summarization for Online Reputation Management (JCdA, EA, LP, JG), pp. 378–389.

ECIR-2016-PotthastBBDFGKL #identification #information retrieval #research #web

Who Wrote the Web? Revisiting Influential Author Identification Research Applicable to Information Retrieval (MP, SB, TB, FD, FF, JMG, JK, WL, FM, MEM, RP, BR, LR, TR, TS, MT, SW, BS0, ES, MH), pp. 393–407.

ECIR-2016-LinCTCCFIMV #challenge #information retrieval #open source #towards

Toward Reproducible Baselines: The Open-Source IR Reproducibility Challenge (JJL, MC, AT, JC, IC, JF, GI, CM, SV), pp. 408–420.

ECIR-2016-MackieMMO #summary

Experiments in Newswire Summarisation (SM, RM, CM, IO), pp. 421–435.

ECIR-2016-HasibiBB #on the

On the Reproducibility of the TAGME Entity Linking System (FH, KB, SEB), pp. 436–449.

ECIR-2016-ShariffSZ #analysis #correlation #twitter

Correlation Analysis of Reader's Demographics and Tweet Credibility Perception (SMS, MS, XZ), pp. 453–465.

ECIR-2016-GiachanouHC #retrieval #topic #twitter

Topic-Specific Stylistic Variations for Opinion Retrieval on Twitter (AG, MH, FC), pp. 466–478.

ECIR-2016-ZarrinkalamFBK #topic #twitter

Inferring Implicit Topical Interests on Twitter (FZ, HF, EB, MK), pp. 479–491.

ECIR-2016-FangMOH #case study #metric #topic #twitter #user study

Topics in Tweets: A User Study of Topic Coherence Metrics for Twitter Data (AF, CM, IO, PH), pp. 492–504.

ECIR-2016-HagenBGKS

Supporting Scholarly Search with Keyqueries (MH, AB, TG, KK, BS0), pp. 507–520.

ECIR-2016-Diaz #pseudo

Pseudo-Query Reformulation (FD0), pp. 521–532.

ECIR-2016-ThonetCBP #named #topic

VODUM: A Topic Model Unifying Viewpoint, Topic and Opinion Discovery (TT, GC, MB, KPS), pp. 533–545.

ECIR-2016-WangME #category theory #fine-grained #image #using #visual notation

Harvesting Training Images for Fine-Grained Object Categories Using Visual Descriptions (JW, KM, ME), pp. 549–560.

ECIR-2016-XuGWZL #social #social media #what

Do Your Social Profiles Reveal What Languages You Speak? Language Inference from Social Media Profiles (YX, MRG, ZW, DZ, SL), pp. 561–574.

ECIR-2016-FoleyA #analysis

Retrieving Hierarchical Syllabus Items for Exam Question Analysis (JF, JA), pp. 575–586.

ECIR-2016-ZhangCW #collaboration #estimation #modelling

Implicit Look-Alike Modelling in Display Ads - Transfer Collaborative Filtering to CTR Estimation (WZ0, LC, JW0), pp. 589–601.

ECIR-2016-ValcarcePB #collaboration #feedback #performance #pseudo #recommendation

Efficient Pseudo-Relevance Feedback Methods for Collaborative Filtering Recommendation (DV, JP, AB), pp. 602–613.

ECIR-2016-ValcarcePB16a #collaboration #modelling

Language Models for Collaborative Filtering Neighbourhoods (DV, JP, AB), pp. 614–625.

ECIR-2016-Renders #adaptation #collaboration #multi

Adaptive Collaborative Filtering with Extended Kalman Filters and Multi-armed Bandits (JMR), pp. 626–638.

ECIR-2016-LinOLVVKP #facebook #recommendation

A Business Zone Recommender System Based on Facebook and Urban Planning Data (JL, RJO, EPL, CV, AV, ATK, PKP), pp. 641–647.

ECIR-2016-MagdyEH #evaluation #generative #on the #timeline #twitter

On the Evaluation of Tweet Timeline Generation Task (WM, TE, MH), pp. 648–653.

ECIR-2016-SchuhmacherRPD #documentation

Finding Relevant Relations in Relevant Documents (MS, BR0, SPP, LD), pp. 654–660.

ECIR-2016-OosterhuisSR #multi #probability

Probabilistic Multileave Gradient Descent (HO, AS, MdR), pp. 661–668.

ECIR-2016-Russell-RoseC #behaviour #retrieval

Real-World Expertise Retrieval: The Information Seeking Behaviour of Recruitment Professionals (TRR, JC), pp. 669–674.

ECIR-2016-RaoNL #statistics

Compressing and Decoding Term Statistics Time Series (JR, XN, JJL), pp. 675–681.

ECIR-2016-HasanKMLS #feedback #research

Feedback or Research: Separating Pre-purchase from Post-purchase Consumer Reviews (MH, AK, AM, SL, PMS), pp. 682–688.

ECIR-2016-LamposAGZC #behaviour #social #social media

Inferring the Socioeconomic Status of Social Media Users Based on Behaviour and Language (VL, NA, JKG, BZ, IJC), pp. 689–695.

ECIR-2016-AzzopardiZ #cost analysis

Two Scrolls or One Click: A Cost Model for Browsing Search Results (LA, GZ), pp. 696–702.

ECIR-2016-WakelingC #analysis #library #online #transaction

Determining the Optimal Session Interval for Transaction Log Analysis of an Online Library Catalogue (SW, PDC), pp. 703–708.

ECIR-2016-AlmasriBC #comparison #feedback #learning #pseudo #query

A Comparison of Deep Learning Based Query Expansion with Pseudo-Relevance Feedback and Mutual Information (MA, CB, JPC), pp. 709–715.

ECIR-2016-BotevaGSR #dataset #information retrieval #learning #rank

A Full-Text Learning to Rank Dataset for Medical Information Retrieval (VB, DGG, AS, SR), pp. 716–722.

ECIR-2016-BalikasA #classification #multi #using

Multi-label, Multi-class Classification Using Polylingual Embeddings (GB, MRA), pp. 723–728.

ECIR-2016-MustoSGL #learning #recommendation #wiki #word

Learning Word Embeddings from Wikipedia for Content-Based Recommender Systems (CM, GS, MdG, PL), pp. 729–734.

ECIR-2016-KarkulahtiPDKY #interactive #social #social media

Tracking Interactions Across Business News, Social Media, and Stock Fluctuations (OK, LP, MD, JK, RY), pp. 735–740.

ECIR-2016-KimSL #mining #topic

Subtopic Mining Based on Three-Level Hierarchical Search Intentions (SJK, JS, JHL), pp. 741–747.

ECIR-2016-WangJLSZL #cumulative #knowledge base #recommendation

Cold Start Cumulative Citation Recommendation for Knowledge Base Acceleration (JW, JJ, LL, DS, ZZ, CYL), pp. 748–753.

ECIR-2016-Montazeralghaem #evaluation

Cross Domain User Engagement Evaluation (AM, HZ, AS), pp. 754–760.

ECIR-2016-Balaneshinkordan #comparison #empirical #graph #query

An Empirical Comparison of Term Association and Knowledge Graphs for Query Expansion (SB, AK), pp. 761–767.

ECIR-2016-MiottoLD #health #learning #predict

Deep Learning to Predict Patient Future Diseases from the Electronic Health Records (RM, LL0, JTD), pp. 768–774.

ECIR-2016-RoySGC #documentation #query #ranking #segmentation

Improving Document Ranking for Long Queries with Nested Query Segmentation (RSR, AS, NG, MC), pp. 775–781.

ECIR-2016-BaluFA #matrix #scalability #sketching

Sketching Techniques for Very Large Matrix Factorization (RB, TF, LA), pp. 782–788.

ECIR-2016-0002B #information retrieval #using

Diversifying Search Results Using Time - An Information Retrieval Method for Historians (DG0, KB), pp. 789–795.

ECIR-2016-NajiA #information retrieval #on the

On Cross-Script Information Retrieval (NN, JA), pp. 796–802.

ECIR-2016-NiuLC #approach #learning #named #twitter

LExL: A Learning Approach for Local Expert Discovery on Twitter (WN, ZL, JC), pp. 803–809.

ECIR-2016-PotthastKSH #detection

Clickbait Detection (MP, SK, BS0, MH), pp. 810–817.

ECIR-2016-DeveaudMMS #ad hoc #documentation #evaluation #information retrieval

Informativeness for Adhoc IR Evaluation: A Measure that Prevents Assessing Individual Documents (RD, VM, JM, ES), pp. 818–823.

ECIR-2016-FlaesRW #analysis #multi #sentiment #what

What Multimedia Sentiment Analysis Says About City Liveability (JBF, SR, MW), pp. 824–829.

ECIR-2016-BergRW #multimodal #named #summary

Scenemash: Multimodal Route Summarization for City Exploration (JvdB, SR, MW), pp. 833–836.

ECIR-2016-SochenkovZTSSSO #detection

Exactus Like: Plagiarism Detection in Scientific Texts (IS, DZ, IT, IS, AS, RS, GSO), pp. 837–840.

ECIR-2016-MartinsMC #interface #realtime #twitter

Jitter Search: A News-Based Real-Time Twitter Search Interface (FM, JM, JC), pp. 841–844.

ECIR-2016-SaleiroTSO #named #visualisation

TimeMachine: Entity-Centric Search and Visualization of News Archives (PS, JT, CS, ECO), pp. 845–848.

ECIR-2016-ZhongF #named #similarity

OPMES: A Similarity Search Engine for Mathematical Content (WZ, HF), pp. 849–852.

ECIR-2016-GaluscakovaSP #multi #named

SHAMUS: UFAL Search and Hyperlinking Multimedia System (PG, SS, PP), pp. 853–856.

ECIR-2016-AlonsoS #industrial #overview #perspective

Industry Day Overview (OA, PS), pp. 859–862.

ECIR-2016-MayrFC #information retrieval

Bibliometric-Enhanced Information Retrieval: 3rd International BIR Workshop (PM0, IF, GC), pp. 865–868.

ECIR-2016-IencoRRRT #learning #mining #modelling #multi

MultiLingMine 2016: Modeling, Learning and Mining for Cross/Multilinguality (DI, MR, SR, PR, AT), pp. 869–873.

ECIR-2016-BhatiaMA #information retrieval

Proactive Information Retrieval: Anticipating Users' Information Need (SB, DM, NA), pp. 874–877.

ECIR-2016-Martinez-Alvarez #information retrieval #roadmap

First International Workshop on Recent Trends in News Information Retrieval (NewsIR'16) (MMA, UK, GK, FH, DC, RC0, DA), pp. 878–882.

ECIR-2016-TamineS #collaboration #concept #evaluation #information retrieval #modelling

Collaborative Information Retrieval: Concepts, Models and Evaluation (LT, LS), pp. 885–888.

ECIR-2016-Boratto #aspect-oriented #challenge #recommendation #research #state of the art

Group Recommender Systems: State of the Art, Emerging Aspects and Techniques, and Research Challenges (LB), pp. 889–892.

ECIR-2016-SchuthB #evaluation #online #theory and practice

Living Labs for Online Evaluation: From Theory to Practice (AS, KB), pp. 893–896.

ECIR-2016-WangYZ #algorithm #realtime

Real-Time Bidding Based Display Advertising: Mechanisms and Algorithms (JW0, SY0, WZ0), pp. 897–901.