cikm 2013 论文列表22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013. |
Data management & analytics for healthcare (DARE 2013).
Web-KR 2013: the 4th international workshop on web-scale knowledge representation, retrieval and reasoning.
PIKM 2013: the 6th ACM workshop for ph.d. students in information and knowledge management.
The first workshop on user engagement optimization.
CIKM 2013 workshop on living labs for information retrieval evaluation.
DTMBIO 2013: international workshop on data and text mining in biomedical informatics.
PLEAD 2013: politics, elections and data.
DUBMOD13: international workshop on data-driven user behavioral modelling and mining from social media.
CloudDB 2013: fifth international workshop on cloud data management.
Workshop summary for the 2013 international workshop on mining unstructured big data using natural language processing.
2013 international workshop on computational scientometrics: theory and applications.
Sixth workshop on exploiting semantic annotations in information retrieval (ESAIR'13).
DOLAP 2013 workshop summary.
AKBC 2013: third workshop on automated knowledge base construction.
Channeling the deluge: research challenges for big data and information systems.
WordSeer: a knowledge synthesis environment for textual data.
ESTHETE: a news browsing system to visualize the context and evolution of news stories.
Search excavator: the knowledge discovery tool.
SPHINX: rich insights into evidence-hypotheses relationships via parameter space-based exploration.
A tool for assisting provenance search in social media.
Human computing games for knowledge acquisition.
Cloud Armor: a platform for credibility-based trust management of cloud services.
Detecting and exploring clusters in attributed graphs: a plugin for the gephi platform.
Inside the world's playlist.
Exploring XML data is as easy as using maps.
PredictionIO: a distributed machine learning server for practical software development.
SportSense: using motion queries to find scenes in sports videos.
iNewsBox: modeling and exploiting implicit feedback for building personalized news radio.
Demonstrating intelligent crawling and archiving of web applications.
DeExcelerator: a framework for extracting relational data from partially structured documents.
GeCo: an online personal data generator and corruptor.
FusionDB: conflict management system for small-science databases.
READFAST: high-relevance search-engine for big text.
MetKB: enriching RDF knowledge bases with web entity-attribute tables.
TerraFly GeoCloud: online spatial data analysis system.
Consumer-centric SLA manager for cloud-hosted databases.
FIRE: interactive visual support for parameter space-driven rule mining.
Abhishek Mukherji Xika Lin Jason Whitehouse Christopher R. Botaish Elke A. Rundensteiner Matthew O. Ward
Scalable bootstrapping for python.
Combining one-class classifiers via meta learning.
Discovering and managing quantitative association rules.
OMS-TL: a framework of online multiple source transfer learning.
An efficient probabilistic framework for multi-dimensional classification.
pEDM: online-forecasting for smart energy analytics.
Extraction and integration of web data by end-users.
Efficient forecasting for hierarchical time series.
Mining characteristic multi-scale motifs in sensor-based time series.
Automatically generating descriptions for resources by tag modeling.
Recommending tags with a model of human categorization.
Identifying salient entities in web pages.
Re-ranking for joint named-entity recognition and linking.
Learning to rank for question routing in community question answering.
Question routing to user communities.
Incorporating the surfing behavior of web users into pagerank.
RAProp: ranking tweets by exploiting the tweet/user/web ecosystem and inter-tweet agreement.
Learning open-domain comparable entity graphs from user search queries.
Learning deep structured semantic models for web search using clickthrough data.
Facet selection algorithms for web product search.
Understanding how people interact with web search results that change in real-time using implicit feedback.
Transferring knowledge with source selection to learn IR functions on unlabeled collections.
Building user profiles from topic models for personalised search.
Intent models for contextualising and diversifying query suggestions.
Modeling behavioral factors ininteractive information retrieval.
CV-PCR: a context-guided value-driven framework for patent citation recommendation.
SRbench-a benchmark for soundtrack recommendation systems.
Faceted models of blog feeds.
Estimating document focus time.
URL tree: efficient unsupervised content extraction from streams of web documents.
GAPfm: optimal top-n recommendations for graded relevance domains.
UMicS: from anonymized data to usable microdata.
SkyView: a user evaluation of the skyline operator.
Merged aggregate nearest neighbor query processing in road networks.
Query execution timing: taming real-time anytime queries on multicore processors.
Efficient pruning algorithm for top-K ranking on dataset with value uncertainty.
Top-down keyword query processing on XML data.
Fast evaluation of iceberg pattern-based aggregate queries.
Wondering why data are missing from query results?: ask conseil why-not.
Large-scale deep learning at Baidu.
Leveraging data to change industry paradigms.
Beyond data: from user information to business value through personalized recommendations and consumer science.
Beyond data: from user information to business value through personalized recommendations and consumer science.
Eigenvalues perturbation of integral operator for kernel selection.
A probabilistic mixture model for mining and analyzing product search log.
Intelligently querying incomplete instances for improving classification performance.
Local-to-global semi-supervised feature selection.
Nonparametric bayesian multitask collaborative filtering.
Towards faster and better retrieval models for question search.
Programming with personalized pagerank: a locally groundable first-order probabilistic logic.
Archiving the relaxed consistency web.
TODMIS: mining communities from trajectories.
Overlapping community detection using seed set expansion.
On handling textual errors in latent document modeling.
Adaptive co-training SVM for sentiment classification on tweets.
Lead-lag analysis via sparse co-projection in correlated text streams.
Web news extraction via path ratios.
Information extraction as a filtering task.
Toward advice mining: conditional random fields for extracting advice-revealing text units.
Unsupervised identification of synonymous query intent templates for attribute intents.
Beyond clicks: query reformulation as a predictor of search satisfaction.
Personalized models of search satisfaction.
Improving passage ranking with user behavior information.
Factors affecting aggregated search coherence and search behavior.
Personalization of web-search using short-term browsing context.
Locality sensitive hashing revisited: filling the gap between theory and algorithm analysis.
Context-aware top-K processing using views.
Efficient two-party private blocking based on sorted nearest neighborhood clustering.
Entropy-based histograms for selectivity estimation.
Optimizing plurality for human intelligence tasks.
"All roads lead to Rome": optimistic recovery for distributed iterative data processing.
From big data to big knowledge.
Online learning from streaming data.
The online revolution: education for everyone.
Flexible and dynamic compromises for effective recommendations.
The importance of being socially-savvy: quantifying the influence of social networks on microblog retrieval.
Topical authority propagation on microblogs.
Through-the-looking glass: utilizing rich post-search trail statistics for web search.
Exploiting trustors as well as trustees in trust-based recommendation.
Early prediction on imbalanced multivariate time series.
Learning to detect task boundaries of query session.
Strategies for setting time-to-live values in result caches.
Combining prestige and relevance ranking for personalized recommendation.
An analysis of crowd workers mistakes for specific and complex relevance assessment task.
Interest mining from user tweets.
An empirical study of top-n recommendation for venture finance.
Diversified query expansion using conceptnet.
Zero-shot video retrieval using content and concepts.
Generating comparative summaries from reviews.
Mining user interest from search tasks and annotations.
Detecting controversy on the web.
Automated snippet generation for online advertising.
A belief propagation approach for detecting shilling attacks in collaborative filtering.
Learning to selectively rank patients' medical history.
QBEES: query by entity examples.
Predicting the impact of expansion terms using semantic and user interaction features.
Speller performance prediction for query autocorrection.
Exploiting query term correlation for list caching in web search engines.
Semi-supervised discriminative preference elicitation for cold-start recommendation.
Multimedia summarization for trending topics in microblogs.
LR-PPR: locality-sensitive, re-use promoting, approximate personalized pagerank computation.
How do users grow up along with search engines?: a study of long-term users' behavior.
Learning compact hashing codes for efficient tag completion and prediction.
Exploiting ranking factorization machines for microblog retrieval.
Clustering-based transduction for learning a ranking model with limited human labels.
Permutation indexing: fast approximate retrieval from large corpora.
FRec: a novel framework of recommending users and communities in social media.
Directing exploratory search with interactive intent modeling.
Tuukka Ruotsalo Jaakko Peltonen Manuel J. A. Eugster Dorota Glowacka Ksenia Konyushkova Kumaripaba Athukorala Ilkka Kosunen Aki Reijonen Petri Myllymäki Giulio Jacucci Samuel Kaski
Can back-of-the-book indexes be automatically created?
On sampling the wisdom of crowds: random vs. expert sampling of the twitter stream.
Saptarshi Ghosh Muhammad Bilal Zafar Parantapa Bhattacharya Naveen Kumar Sharma Niloy Ganguly P. Krishna Gummadi
Concept-based analysis of scientific literature.
Assessing quality score of Wikipedia article using mutual evaluation of editors and texts.
Generating informative snippet to maximize item visibility.
Studying from electronic textbooks.
Assessing sparse information extraction using semantic contexts.
Towards an enhanced and adaptable ontology by distilling and assembling online encyclopedias.
Compact explanatory opinion summarization.
Seeking provenance of information using social media.
Discovering health-related knowledge in social media using ensembles of heterogeneous features.
Social media news communities: gatekeeping, coverage, and statement bias.
Modeling temporal effects of human mobile behavior on location-based social networks.
Dyadic event attribution in social networks with mixtures of hawkes processes.
Predicting trends in social networks via dynamic activeness model.
An effective latent networks fusion based model for event recommendation in offline ephemeral social networks.
Originator or propagator?: incorporating social role theory into topic models for twitter content analysis.
Social recommendation incorporating topic mining and social trust analysis.
Expedited rating of data stores using agile data loading techniques.
Hotness-aware buffer management for flash-based hybrid storage systems.
ROU: advanced keyword search on graph.
ImG-complex: graph data model for topology of unstructured meshes.
Efficiently anonymizing social networks with reachability preservation.
Graph hashing and factorization for fast graph stream classification.
Fast and scalable reachability queries on graphs by pruned labeling with landmarks and paths.
Graph similarity search with edit distance constraint in large graph databases.
Automatic ad format selection via contextual bandits.
Computational advertising: the linkedin way.
Objectionable content filtering by click-through data.
Software plagiarism detection: a graph-based approach.
Intelligent SSD: a turbo for big data mining.
Discovering facts with boolean tensor tucker decomposition.
An unsupervised transfer learning approach to discover topics for online reputation management.
Reconciliation of categorical opinions from multiple sources.
Taxonomy-based regression model for cross-domain sentiment classification.
On exploiting content and citations together to compute similarity of scientific papers.
Discovering relations using matrix factorization methods.
Clustering-based anomaly detection in multi-view data.
Chinese syntactic parsing based on linguistic entity-relationship model.
The essence of knowledge (bases) through entity rankings.
Incremental shared nearest neighbor density-based clustering.
Discrimination aware classification for imbalanced datasets.
A fast convergence clustering algorithm merging MCMC and EM methods.
Recommendation via user's personality and social contextual.
Timeline adaptation for text classification.
Probabilistic latent class models for predicting student performance.
A unified graph model for personalized query-oriented reference paper recommendation.
Joint learning on sentiment and emotion classification.
Semantic discovery from web comparison queries.
Automated probabilistic modeling for relational data.
Exploiting collaborative filtering techniques for automatic assessment of student free-text responses.
An efficient algorithm for approximate betweenness centrality computation.
Identifying multilingual Wikipedia articles based on cross language similarity and activity.
Predicting retweet count using visual cues.
Modeling information diffusion over social networks for temporal dynamic prediction.
Random walk-based graphical sampling in unbalanced heterogeneous bipartite social graphs.
LCMKL: latent-community and multi-kernel learning based image annotation.
Motif discovery in spatial trajectories using grammar inference.
Cross-domain sparse coding.
Robust models of mouse movement on dynamic web search results pages.
A pattern-based selective recrawling approach for object-level vertical search.
Learning to handle negated language in medical records search.
Building optimal information systems automatically: configuration space exploration for biomedical information systems.
Interactive collaborative filtering.
Computing term similarity by large probabilistic isA knowledge.
Query matching for report recommendation.
Flexible and adaptive subspace search for outlier analysis.
Efficient hierarchical clustering of large high dimensional datasets.
Effective measures for inter-document similarity.
Cost-sensitive learning for large-scale hierarchical classification.
Spatio-temporal meme prediction: learning what hashtags will be popular where.
Functional dirichlet process.
Discriminative feature selection for multi-view cross-domain learning.
Feedback-driven multiclass active learning for data streams.
Incorporating user preferences into click models.
Selection fusion in semi-structured retrieval.
TellMyRelevance!: predicting the relevance of web search results from cursor interactions.
How fresh do you want your search results?
Is top-k sufficient for ranking?
Clustering: probably approximately useless?
Challenges in commerce search.
Improving entity search over linked data by modeling latent semantics.
On challenges with mobile e-health: lessons from a game-theoretic perspective.
High throughput filtering using FPGA-acceleration.
Position-based contextualization for passage retrieval.
Exploiting proximity feature in statistical translation models for information retrieval.
Trustable aggregation of online ratings.
Retrieval of trending keywords in a peer-to-peer micro-blogging OSN.
Retrieving opinions from discussion forums.
Maintaining discriminatory power in quantized indexes.
Modeling clicks beyond the first result page.
Bootstrapping active name disambiguation with crowdsourcing.
Latency-aware strategy for static list caching in flash-based web search engines.
Dynamic query intent mining from a search log stream.
Generalizing diversity detection in blog feed retrieval.
Modeling latent topic interactions using quantum interference for information retrieval.
Predicting event-relatedness of popular queries.
Term associations in query expansion: a structural linguistic perspective.
Weighted hashing for fast large scale similarity search.
Feature-based models for improving the quality of noisy training data for relation extraction.
Label constrained shortest path estimation.
RCached-tree: an index structure for efficiently answering popular queries.
An efficient and robust privacy protection technique for massive streaming choice-based information.
Flexible and extensible generation and corruption of personal data.
A hybrid approach for privacy-preserving processing of knn queries in mobile database systems.
MRPacker: an SQL to mapreduce optimizer.
Scientific articles recommendation.
On segmentation of eCommerce queries.
Instant foodie: predicting expert ratings from grassroots.
Expertise retrieval in bibliographic network: a topic dominance learning approach.
Robust question answering over the web of linked data.
Manipulation among the arbiters of collective intelligence: how wikipedia administrators mold public opinion.
Wikification via link co-occurrence.
Automatic construction of domain and aspect specific sentiment lexicons for customer review mining.
Using micro-reviews to select an efficient set of reviews.
Exploring weakly supervised latent sentiment explanations for aspect-level review analysis.
Estimating the relative utility of networks for predicting user activities.
Entity disambiguation in anonymized graphs using graph kernels.
Discovering influential authors in heterogeneous academic networks by a co-ranking method.
Spatial-temporal query homogeneity for KNN object search on road networks.
Accurate and scalable nearest neighbors in large networks based on effective importance.
A heterogenous automatic feedback semi-supervised method for image reranking.
Towards minimizing the annotation cost of certified text classification.
Uncovering collusive spammers in Chinese review websites.
Building structures from classifiers for passage reranking.
Community question topic categorization via hierarchical kernelized classification.
A comparison of two physical data designs for interactive social networking actions.
Network-aware search in social tagging applications: instance optimality versus efficiency.
Querying graphs with preferences.
External memory K-bisimulation reduction of big graphs.
Linear-time enumeration of maximal K-edge-connected subgraphs in large networks by random contraction.
Probabilistic semantic similarity measurements for noisy short texts using Wikipedia entities.
A multimodal framework for unsupervised feature fusion.
Navigating the topical structure of academic search results via the Wikipedia category network.
Mining causal topics in text data: iterative topic modeling with time series feedback.
Dynamic multi-faceted topic discovery in twitter.
Modeling interaction features for debate side clustering.
Mining entity attribute synonyms via compact clustering.
Fast parameterless density-based clustering via random projections.
Labels or attributes?: rethinking the neighbors for collective classification in sparsely-labeled networks.
Content-centric flow mining for influence analysis in social streams.
Local clustering in provenance graphs.
Active exploration: simultaneous sampling and labeling for large graphs.
PAGE: a partition aware graph computation engine.
Understanding the roles of sub-graph features for graph classification: an empirical study perspective.
Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation.
Towards metric fusion on multi-view data: a cross-view based graph random walk approach.
SCISSOR: scalable and efficient reachability query processing in time-evolving hierarchies.
A new operator for efficient stream-relation join processing in data streaming engines.
Cache refreshing for online social news feeds.
Parallel triangle counting in massive streaming graphs.
Scalable diversification of multiple search results.
A generic front-stage for semi-stream processing.
Efficient filtering and ranking schemes for finding inclusion dependencies on the web.
Where shall we go today?: planning touristic tours with tripbuilder.
Igo Ramalho Brilhante José Antônio Fernandes de Macêdo Franco Maria Nardini Raffaele Perego Chiara Renso
LearNext: learning to predict tourists movements.
Timely crawling of high-quality ephemeral new content.
Proximity2-aware ranking for textual, temporal, and geographic queries.
Personalized point-of-interest recommendation by mining users' preference transition.
Short text classification by detecting information path.
Location recommendation for out-of-town users in location-based social networks.
Disinformation techniques for entity resolution.
The water filling model and the cube test: multi-dimensional evaluation for professional search.
User intent and assessor disagreement in web search evaluation.
On the reliability and intuitiveness of aggregated search metrics.
Using historical click data to increase interleaving sensitivity.
Evaluating aggregated search using interleaving.
Users versus models: what observation tells us about effectiveness metrics.
Boolean satisfiability for sequence mining.
How the live web feels about events.
AnchorMF: towards effective event context identification.
Ranking fraud detection for mobile apps: a holistic view.
On mining mobile apps usage behavior for predicting apps usage in smartphones.
Mapping adaptation actions for the automatic reconciliation of dynamic ontologies.
PIDGIN: ontology alignment using web text as interlingua.
Aligning freebase with the YAGO ontology.
Ontology authoring with FORZA.
The logical diversity of explanations in OWL ontologies.
Parallel motif extraction from very long sequences.
An efficient MapReduce algorithm for counting triangles in a very large graph.
PATRIC: a parallel algorithm for counting triangles in massive networks.
Online multitasking and user engagement.
StaticGreedy: solving the scalability-accuracy dilemma in influence maximization.
Diffusion of innovations revisited: from social network to innovation network.
Modeling dynamics of meta-populations with a probabilistic approach: global diffusion in social media.
UNIK: unsupervised social network spam detection.
To stay or not to stay: modeling engagement dynamics in social graphs.
Location prediction in social media based on tie strength.
Supporting exploratory people search: a study of factor transparency and user control.
Improving pseudo-relevance feedback via tweet selection.
Probabilistic solutions of influence propagation on social networks.
On sparsity and drift for effective real-time filtering in microblogs.
Building a large-scale corpus for evaluating event detection on twitter.
Augmenting web search surrogates with images.
Rank-energy selective query forwarding for distributed search systems.
Load-sensitive selective pruning for distributed search.
Daniele Broccolo Craig Macdonald Salvatore Orlando Iadh Ounis Raffaele Perego Fabrizio Silvestri Nicola Tonellotto
An index for efficient semantic full-text search.
Locality sensitive hashing for scalable structural classification and clustering of web documents.
Causality and responsibility: probabilistic queries revisited in uncertain databases.
RWS-Diff: flexible and efficient change detection in hierarchical data.
Searching similar segments over textual event sequences.
Efficient processing of streaming graphs for evolution-aware clustering.
Local correlation detection with linearity enhancement in streaming data.
Correlating medical-dependent query features with image retrieval models using association rules.
Mining-based compression approach of propositional formulae.
Mining diabetes complication and treatment patterns for clinical decision support.
A two-phase algorithm for mining sequential patterns with differential privacy.
Mining frequent neighborhood patterns in a large labeled graph.
Content coverage maximization on word networks for hierarchical topic summarization.
A partially supervised cross-collection topic model for cross-domain text classification.
Domain-dependent/independent topic switching model for online reviews with numerical ratings.
Spatio-temporal and events based analysis of topic popularity in twitter.
Sebastien Ardon Amitabha Bagchi Anirban Mahanti Amit Ruhela Aaditeshwar Seth Rudra Mohan Tripathy Sipat Triukose
Discovering coherent topics using general knowledge.
Personalized influence maximization on social networks.
Community-based user recommendation in uni-directional social networks.
Inferring anchor links across multiple heterogeneous social networks.
On popularity prediction of videos shared in online social networks.
Predicting user activity level in social networks.
Gem-based entity-knowledge maintenance.
Learning relatedness measures for entity linking.
Structured positional entity language model for enterprise entity retrieval.
Entity-centric document filtering: boosting feature mapping through meta-features.
Penguins in sweaters, or serendipitous entity search on user-generated content.
CQArank: jointly model topics and expertise in community question answering.
CRF framework for supervised preference aggregation.
A phased ranking model for question answering.
Map search via a factor graph model.
Graph-of-word and TW-IDF: new approach to ad hoc IR.
Efficient parsing-based search over structured data.
G-tree: an efficient index for KNN search on road networks.
Mining a search engine's corpus without a query pool.
Spatial search for K diverse-near neighbors.
One size does not fit all: multi-granularity search of web forums.
Structured data in web search.
Usability in machine learning at scale with graphlab.
Applying theory to practice.
Scholarly big data: information extraction and data mining.