wsdm 2011 论文列表
Proceedings of the Forth International Conference on Web Search and Web Data Mining, WSDM 2011, Hong Kong, China, February 9-12, 2011.
|
On the selection of tags for tag clouds.
Searching patterns for relation extraction over the web: rediscovering the pattern-relation duality.
Aspect and sentiment unification model for online review analysis.
Normalizing web product attributes and discovering domain ontology with minimal effort.
LambdaMerge: merging the results of query reformulations.
Enhanced email spam filtering through combining similarity graphs.
An algorithmic treatment of strong queries.
Query suggestion for E-commerce sites.
Citation recommendation without author supervision.
The tube over time: characterizing popularity growth of youtube videos.
Learning to re-rank web search results with multiple pairwise features.
Stochastic query covering.
On composition of a federated web search result page: using online users to provide pairwise preference for heterogeneous verticals.
Shopping for products you don't know you need.
Low-order tensor decompositions for social tagging recommendation.
Large-scale hierarchical text classification without labelled data.
Scalable clustering of news search results.
A framework for quantitative analysis of cascades on networks.
eBay: an E-commerce marketplace as a complex network.
OOLAM: an opinion oriented link analysis model for influence persona discovery.
Supervised random walks: predicting and recommending links in social networks.
A two-view learning approach for image tag ranking.
Learning similarity function for rare queries.
Predicting future reviews: sentiment analysis models for collaborative filtering.
Adaptive bootstrapping of recommender systems using decision trees.
Transient crowd discovery on the real-time social web.
Document assignment in multi-site search engines.
Linking online news and social media.
A probabilistic approach for learning folksonomies from structured data.
Web-scale table census and classification.
Efficient entity resolution for large heterogeneous information spaces.
Let web spammers expose themselves.
Bid generation for advanced match in sponsored search.
A combined topical/non-topical approach to identifying web sites for children.
Strength of social influence in trust networks in product review sites.
Improving social bookmark search using personalised latent variable language models.
Multi-dimensional search result diversification.
CoBayes: bayesian knowledge corroboration with assessors of unknown areas of expertise.
CMAP: effective fusion of quality and relevance for multi-criteria recommendation.
Collective extraction from heterogeneous web lists.
Action prediction and identification from mining temporal user behaviors.
Learning website hierarchies for keyword enrichment in contextual advertising.
Inferring search behaviors using partially observable markov model with duration (POMD).
Searchable web sites recommendation.
Optimizing merchant revenue with rebates.
Multidimensional mining of large-scale search logs: a topic-concept cube approach.
Cross lingual text classification by mining multilingual topics from wikipedia.
What blogs tell us about websites: a demographics study.
Materializing multi-relational databases from the web using taxonomic queries.
Clustering product features for opinion mining.
Evaluating the visual quality of web pages using a computational aesthetic approach.
Topical semantics of twitter links.
Trend analysis model: trend consists of temporal words, topics, and timestamps.
Efficient online ad serving in a display advertising exchange.
Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms.
Recommender systems with social regularization.
Identifying task-based sessions in search engine query logs.
Result enrichment in commerce search using browse trails.
Optimizing two-dimensional search results presentation.
Dynamic ranked retrieval.
Mining named entities with temporally correlated bursts from multilingual web news streams.
Scalable knowledge harvesting with high precision and high recall.
Joint training for open-domain extraction on the web: exploiting overlap when supervision is limited.
Dynamic relationship and event discovery.
Mining social images with distance metric learning for automated image tagging.
Using graded-relevance metrics for evaluating community QA answer selection.
Patterns of temporal variation in online media.
Understanding temporal query dynamics.
KMV-peer: a robust and adaptive peer-selection algorithm.
Detecting duplicate web documents using clickthrough data.
Batch query processing for web search engines.
Efficient indexing of repeated n-grams.
We feel fine and searching the emotional web.
Bing dialog model: intent, knowledge and user interaction.
Ranking from pairs and triplets: information quality, evaluation methods and query complexity.
Quality-biased ranking of web documents.
Understanding and predicting personal navigation.
A comparative analysis of cascade measures for novelty and diversity.
Everyone's an influencer: quantifying influence on twitter.
Correcting for missing data in information cascades.
Identifying topical authorities in microblogs.
#TwitterSearch: a comparison of microblog search and web search.
Personalizing web search using long term browsing history.
Who uses web search for what: and how.
Mining billion-node graphs: patterns, generators and tools.
Web retrieval: the role of users.
Exploiting statistical and relational information on the web and in social media.
User modeling for web applications.
Crowdsourcing for search and data mining.
Introduction to display advertising: a half-day tutorial.
Crowdsourcing 101: putting the WSDM of crowds to work for you.
