cikm47

cikm 2010 论文列表

Proceedings of the 19th ACM Conference on Information and Knowledge Management, CIKM 2010, Toronto, Ontario, Canada, October 26-30, 2010.

Overview of the 2nd international workshop on search and mining user-generated contents.
PIKM 2010: ACM workshop for ph.d. students in information and knowledge management.
3rd international workshop on patent information retrieval (PaIR'10).
Third workshop on exploiting semantic annotations in information retrieval (ESAIR): CIKM 2010 workshop.
DOLAP 2010 workshop summary.
DTMBIO workshop summary.
Report on the second international workshop on cloud data management (CloudDB 2010).
3rd BooksOnline workshop: research advances in large digital book repositories and complementary media.
Summary of the 4th workshop on analytics for noisy unstructured text data (AND).
Exploring and visualizing academic social networks.
Summarizing biological literature with BioSumm.
i-SEE: integrated stream execution environment over on-line data streams.
MI-WDIS: web data integration system for market intelligence.
SEQUEL: query completion via pattern mining on multi-column structural data.
SPac: a distributed, peer-to-peer, secure and privacy-aware social space.
FALCON: seamless access to meeting data from the inbox and calendar.
WS-GraphMatching: a web service tool for graph matching.
RDFViewS: a storage tuning wizard for RDF applications.
Brown dwarf: a P2P data-warehousing system.
LiquidXML: adaptive XML content redistribution.
Connecting the local and the online in information management.
Crawling the web for structured documents.
TC-DCA: a system for text classification based on document's content allocation.
EUI: an embedded engine for understanding user intents from mobile devices.
XReal: an interactive XML keyword searching.
WikiPop: personalized event detection system based on Wikipedia page view statistics.
Discovering, ranking and annotating cross-document relationships between concepts.
Facetedpedia: enabling query-dependent faceted search for wikipedia.
EntityEngine: answering entity-relationship queries using shallow semantics.
Learning to blend rankings: a monotonic transformation to blend rankings from heterogeneous domains.
Experiences with using SVM-based learning for multi-objective ranking.
Injecting domain knowledge into a granular database engine: a position paper.
Ranking of evolving stories through meta-aggregation.
Massive structured data management solution.
Exploiting sequential relationships for familial classification.
BagBoo: a scalable hybrid bagging-the-boosting model.
Regularization and feature selection for networked features.
Mixture model label propagation.
Pattern based keyword extraction for contextual advertising.
Unsupervised public health event detection for epidemic intelligence.
Topic detection and organization of mobile text messages.
Detecting controversial events from twitter.
SKIF: a data imputation framework for concept drifting data streams.
Adapting cost-sensitive learning for reject option.
Collaboration analytics: mining work patterns from collaboration activities.
Robust prediction from multiple heterogeneous data sources with partial information.
Choosing your own adventure: automatic taxonomy generation to permit many paths.
Towards query log based personalization using topic models.
Digging for knowledge with information extraction: a case study on human gene-disease associations.
Discovery of numerous specific topics via term co-occurrence analysis.
Identifying hotspots on the real-time web.
Classifying sentiment in microblogs: is brevity an advantage?
Combining link and content for collective active learning.
Opinion digger: an unsupervised opinion miner from unstructured product reviews.
Domain-independent entity coreference in RDF graphs.
A study of rumor control strategies on social networks.
Efficient wikipedia-based semantic interpreter by exploiting top-k processing.
Using Wikipedia categories for compact representations of chemical documents.
On bootstrapping recommender systems.
Feature subspace transformations for enhancing k-means clustering.
Elusive vandalism detection in wikipedia: a text stability-based approach.
Exploiting co-occurrence and information quality metrics to recommend tags in web 2.0 applications.
Incorporating terminology evolution for query translation in text retrieval with association rules.
Yes we can: simplex volume maximization for descriptive web-scale matrix factorization.
ANITA: a narrative interpretation of taxonomies for their adaptation to text collections.
Visualization and clustering of crowd video content in MPCA subspace.
Comparison of six aggregation strategies to compute users' trustworthiness.
Context modeling for ranking and tagging bursty features in text streams.
Exploiting novelty, coverage and balance for topic-focused multi-document summarization.
Construction of a sentimental word dictionary.
Manifold ranking with sink points for update summarization.
Fast dimension reduction for document classification based on imprecise spectrum analysis.
Topic-driven web search result organization by leveraging wikipedia semantic knowledge.
Affinity-driven prediction and ranking of products in online product review sites.
Building a semantic representation for personal information.
Multi task learning on multiple related networks.
Top-Eye: top-k evolving trajectory outlier detection.
Learning naïve bayes transfer classifier throughclass-wise test distribution estimation.
CasJoin: a cascade chain for text similarity joins.
Relevance-index size tradeoff in contextual advertising.
Supervised identification and linking of concept mentions to a domain-specific ontology.
Learning ontology resolution for document representation and its applications in text mining.
Transfer incremental learning for pattern classification.
Relational feature engineering of natural language processing.
K-farthest-neighbors-based concept boundary determination for support vector data description.
Exploiting user interests for collaborative filtering: interests expansion via personalized ranking.
Online learning for multi-task feature selection.
Embedding tolerance relations in formal concept analysis: an application in information fusion.
Learning sentiment classification model from labeled features.
Mining networks with shared items.
An effective approach for mining mobile user habits.
Identifying new categories in community question answering archives: a topic modeling approach.
Intelligent sales forecasting engine using genetic algorithms.
Automatic metadata extraction from multilingual enterprise content.
Extracting structured information from Wikipedia articles to populate infoboxes.
Hierarchical auto-tagging: organizing Q&A knowledge for everyone.
PTM: probabilistic topic mapping model for mining parallel document collections.
Improving taxonomies for large-scale hierarchical classifiers of web documents.
Communication motifs: a tool to characterize social communications.
Personalized recommender system based on item taxonomy and folksonomy.
Mapping web pages to database records via link paths.
Understanding retweeting behaviors in social networks.
Adaptive outlierness for subspace outlier ranking.
TAGME: on-the-fly annotation of short text fragments (by wikipedia entities).
Active learning in parallel universes.
Taxonomic clustering of web service for efficient discovery.
A topical link model for community discovery in textual interaction graph.
Multi-information fusion for uncertain semantic representations of videos.
Exploring domain-specific term weight in archived question search.
A peer-selection algorithm for information retrieval.
Hypergraph-based multilevel matrix approximation for text information retrieval.
Optimizing unified loss for web ranking specialization.
Learning to rank with groups.
Routing questions to appropriate answerers in community question answering services.
Online stratified sampling: evaluating classifiers at web-scale.
Mining rules to explain activities in videos.
Fast query expansion using approximations of relevance models.
Discriminative factored prior models for personalized content-based recommendation.
Community-based topic modeling for social tagging.
Expected browsing utility for web search evaluation.
Novel local features with hybrid sampling technique for image retrieval.
Visual-semantic graphs: using queries to reduce the semantic gap in web image retrieval.
Finding unusual review patterns using unexpected rules.
Topic aspect analysis for multi-document summarization.
Search as if you were in your home town: geographic search by regional context and dynamic feature-space selection.
Structural annotation of search queries using pseudo-relevance feedback.
Selecting keywords for content based recommendation.
Recommendation based on object typicality.
Detecting periodic changes in search intentions in a search engine.
Demographic information flows.
TAER: time-aware entity retrieval-exploiting the past to find relevant entities in news articles.
Focused crawling using navigational rank.
On the relationship between novelty and popularity of user-generated content.
Expert identification in community question answering: exploring question selection bias.
Online learning for recency search ranking using real-time user feedback.
Modeling reformulation using passage analysis.
Using various term dependencies according to their utilities.
Ranking with auxiliary data.
Weighting common syntactic structures for natural language based information retrieval.
A feature-word-topic model for image annotation.
Alignment of short length parallel corpora with an application to web search.
User behavior driven ranking without editorial judgments.
Utilizing re-finding for personalized information retrieval.
Image retrieval at memory's edge: known image search based on user-drawn sketches.
Threshold behavior of incentives in social networks.
Building recommendation systems using peer-to-peer shared content.
Query model refinement using word graphs.
Directly optimizing evaluation measures in learning to rank based on the clonal selection algorithm.
Unifying explicit and implicit feedback for collaborative filtering.
Group ranking with application to image retrieval.
Learning to generate summary as structured output.
A late fusion approach to cross-lingual document re-ranking.
Rough sets based reasoning and pattern mining for a two-stage information filtering system.
Web page classification on child suitability.
Generating advertising keywords from video content.
Explore click models for search ranking.
A new mathematics retrieval system.
Challenges in personalized authority flow based ranking of social media.
A fine-grained taxonomy of tables on the web.
Ranking social bookmarks using topic models.
Exploration-exploitation tradeoff in interactive relevance feedback.
Exploiting site-level information to improve web search.
Anonymizing data with quasi-sensitive attribute values.
PruSM: a prudent schema matching approach for web forms.
Computing the top-k maximal answers in a join of ranked lists.
A hierarchical approach to reachability query answering in very large graph databases.
Data aspects in a relational database.
Query optimization for ontology-based information integration.
BP-tree: an efficient index for similarity search in high-dimensional metric spaces.
Support elements in graph structured schema reintegration.
Selective data acquisition for probabilistic K-NN query.
OLAP-based query recommendation.
Print: a provenance model to support integration processes.
Yet another write-optimized DBMS layer for flash-based solid state storage.
Extending dictionary-based entity extraction to tolerate errors.
Concurrent atomic protocols for making and changing decisions in social networks.
(k, P)-anonymity: towards pattern-preserving anonymity of time-series data.
Formal approach and automated tool for constructing ontology from object-oriented database model.
An efficient data-centric storage scheme considering storage and query hot-spots in sensor networks.
Approximate membership localization (AML) for web-based join.
Quantifying uncertainty in multi-dimensional cardinality estimations.
On top-k social web search.
A metamodel approach to flexible semantic web service discovery.
Evaluation of top-k queries in peer-to-peer networks using threshold algorithms.
Efficiently querying archived data using Hadoop.
FD-buffer: a buffer manager for databases on flash disks.
Skyline query processing for uncertain data.
Automatically weighting tags in XML collection.
SUMMA: subgraph matching in massive graphs.
Open user schema guided evaluation of streaming RDF queries.
Towards a provenance framework for sub-image processing for astronomical data.
Automated interaction in social networks with datalog.
Search-log anonymization and advertisement: are they mutually exclusive?
Real-time memory efficient data redundancy removal algorithm.
Building efficient multi-threaded search nodes.
Improved index compression techniques for versioned document collections.
Efficient term proximity search with term-pair indexes.
VSEncoding: efficient coding and fast decoding of integer lists via dynamic programming.
Hierarchical service analytics for improving productivity in an enterprise service center.
OpinionIt: a text mining system for cross-lingual opinion analysis.
Building re-usable dictionary repositories for real-world text mining.
Selectively diversifying web search results.
Organizing query completions for web search.
Improving web search relevance and freshness with content previews.
Temporal query log profiling to improve web search ranking.
Clickthrough-based translation models for web search: from word models to phrase models.
Meta-metadata: a metadata semantics language for collection representation applications.
Multi-document topic segmentation.
Ontology emergence from folksonomies.
MENTA: inducing multilingual taxonomies from wikipedia.
Semantic tags generation and retrieval for online advertising.
Ranking related entities: components and analyses.
A unified optimization framework for robust pseudo-relevance feedback algorithms.
Improving verbose queries using subset distribution.
Reverted indexing for feedback and expansion.
Predicting product adoption in large-scale social networks.
Faceted search and browsing of audio content on spoken web.
Probabilistic first pass retrieval for search advertising: from theory to practice.
Predicting short-term interests using activity-based search context.
Exploring online social activities for adaptive search personalization.
The anatomy of a click: modeling user behavior on web information systems.
A comparison of user and system query performance predictions.
Personalized search by tag-based user profile and resource profile in collaborative tagging systems.
Improving one-class collaborative filtering by incorporating rich user information.
Classical music for rock fans?: novel recommendations for expanding user interests.
Detecting product review spammers using rating behaviors.
Automatically suggesting topics for augmenting text documents.
Evaluating, combining and generalizing recommendations with prerequisites.
Orientation distance-based discriminative feature extraction for multi-class classification.
A probabilistic topic-connection model for automatic image annotation.
Estimating accuracy for text classification tasks on large unlabeled data.
RankSVR: can preference data help regression?
Constructing classification features using minimal predictive patterns.
Pattern discovery for large mixed-mode database.
Visual cube and on-line analytical processing of images.
XML schema computations: schema compatibility testing and subschema extraction.
Hybrid tag recommendation for social annotation systems.
Collaborative future event recommendation.
Collaborative filtering in social tagging systems based on joint item-tag recommendations.
Selected new training documents to update user profile.
Two-tier similarity model for story link detection.
A method for discovering components of human rituals from streams of sensor data.
Partial drift detection using a rule induction framework.
You are where you tweet: a content-based approach to geo-locating twitter users.
Automatic detection of craters in planetary images: an embedded framework using feature selection and boosting.
Network growth and the spectral evolution model.
A framework for evaluating database keyword search strategies.
FACeTOR: cost-driven exploration of faceted query results.
Result-size estimation for information-retrieval subqueries.
Efficient temporal keyword search over versioned text.
Index structures for efficiently searching natural language text.
Searching consumer image collections using web-based concept expansion.
Active caching for similarity queries based on shared-neighbor information.
PROSPECT: a system for screening candidates for recruitment.
Latent interest-topic model: finding the causal relationships behind dyadic data.
Language pyramid and multi-scale text analysis.
Using the past to score the present: extending term weighting models through revision history analysis.
A structured approach to query recommendation with social annotation data.
Who should I cite: learning literature search models from citation behavior.
Power in unity: forming teams in large-scale community systems.
Boosting social network connectivity with link revival.
Travel route recommendation using geotags in photo sharing sites.
FacetCube: a framework of incorporating prior knowledge into non-negative tensor factorization.
Learning a user-thread alignment manifold for thread recommendation in online forum.
CiteData: a new multi-faceted dataset for evaluating personalized search performance.
Assessor error in stratified evaluation.
Web search solved?: all result rankings the same?
Factors affecting click-through behavior in aggregated search interfaces.
Fast top-k simple shortest paths discovery in graphs.
Fast and accurate estimation of shortest paths in large graphs.
The gist of everything new: personalized top-k processing over web 2.0 streams.
Set cover algorithms for very large datasets.
Learning to rank relevant and novel documents through user feedback.
Rank learning for factoid question answering with linguistic and semantic constraints.
Document allocation policies for selective searching of distributed indexes.
Learning click models via probit bayesian inference.
Accelerating probabilistic frequent itemset mining: a model-based approach.
Multilevel manifold learning with application to spectral clustering.
Maximum normalized spacing for efficient visual clustering.
Pricing guaranteed contracts in online display advertising.
Multi-view clustering with constraint propagation for learning with an incomplete mapping between views.
A robust semi-supervised classification method for transfer learning.
Inferring gender of movie reviewers: exploiting writing style, content and metadata.
Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification.
Mr.KNN: soft relevance for multi-label classification.
StableBuffer: optimizing write performance for DBMS applications on flash devices.
Energy-efficient top-k query processing in wireless sensor networks.
Preference query evaluation over expensive attributes.
Preserving location and absence privacy in geo-social networks.
Automatic schema merging using mapping constraints among incomplete sources.
How about utilizing ordinal information from the distribution of unlabeled data.
Document update summarization using incremental hierarchical clustering.
Decomposing background topics from keywords by principal component pursuit.
Term necessity prediction.
Improved latent concept expansion using hierarchical markov random fields.
Expansion and search in networks.
Outcome aware ranking in interaction networks.
SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks.
Mining interesting link formation rules in social networks.
Mining topic-level influence in heterogeneous networks.
Bringing order to your photos: event-driven classification of flickr images based on social knowledge.
Multi-modal multi-correlation person-centric news retrieval.
A cross-lingual framework for monolingual biomedical information retrieval.
Wisdom of the ages: toward delivering the children's web with the link-based agerank algorithm.
Online update of b-trees.
Efficient set-correlation operator inside databases.
On wavelet decomposition of uncertain time series data sets.
Path-hop: efficiently indexing large graphs for reachability queries.
On the selectivity of multidimensional routing indices.
On identifying representative relevant documents.
Examining the information retrieval process from an inductive perspective.
Ranking under temporal constraints.
Entity ranking using Wikipedia as a pivot.
What can quantum theory bring to information retrieval.
An efficient algorithm for mining time interval-based patterns in large database.
Automatic extraction of web data records containing user-generated content.
Online annotation of text streams with structured entities.
Automatically acquiring a semantic network of related concepts.
Components for information extraction: ontology-based information extractors and generic platforms.
Temporal dynamics and information retrieval.
Use of semantics in real life applications.
Schema extraction.