Schedule (Tentative)

Tutorial 1: Crowdsourcing 101: Putting the “Wisdom of the Crowd” to Work for You
Presenters: Omar Alonso and Matthew Lease.
Venue: Room 3

Tutorial 2: Introduction to Display Advertising
Presenters: Andrei Broder, Vanja Josifovski and Jayavel Shanmugasundaram.
Venue: Room 4

Workshop 1: Crowdsourcing for Search and Data Mining (CSDM 2011)
Chairs: Evgeniy Gabrilovich and Wai Lam.
Venue: Room 1

Workshop 2: User Modelling for Web Applications
Chairs: David Carmel, Vanja Josifovski and Yoelle Maarek.
Venue: Room 2

Tutorial 3: Exploiting Statistical and Relational Information on the Web and in Social Media
Presenters: Lise Getoor and Lilyana Mihalkova.
Venue: Room 3

Tutorial 4: Web Retrieval: The Role of Users
Presenters: Ricardo Baeza-Yates and Yoelle Maarek.
Venue: Room 4

Who Uses Web Search for What? And How?
Ingmar Weber and Alejandro Jaimes.
Keywords: query logs, demographics, session analysis, topic classification.

Personalizing Web Search using Long Term Browsing History
Nicolaas Matthijs and Filip Radlinski.
Keywords: Personalized Web Search, Browsing History, Large-scale online evaluation, AlterEgo, Interleaving, Ranking, User Profile.

TwitterSearch: A Comparison of Microblog Search and Web Search
Jaime Teevan, Daniel Ramage and Meredith Ringel Morris.
Keywords: social search, query log analysis, microblog search.

Identifying topical authorities in microblogs
Aditya Pal and Scott Counts.
Keywords: Online Social Media, Authority Identification, Recommendation systems, Microblogging and Twitter, Clustering and Ranking.

Correcting for Missing Data in Information Cascades
Eldar Sadikov, Montserrat Medina, Jure Leskovec and Hector Garcia-Molina.
Keywords: missing data, information cascades, sampling, social networks, Twitter.

Identifying 'Influencers' on Twitter
Eytan Bakshy, Jake M. Hofman, Winter Mason and Duncan J. Watts.
Keywords: Communication networks, Twitter, influence, diffusion, word-of-mouth.

A Comparative Analysis of Cascade Measures for Novelty and Diversity
Charles Clarke, Nick Craswell, Ian Soboroff and Azin Ashkan.
Keywords: search effectiveness measures, novelty, diversity, ERR, nDCG, editorial assessment.

Dynamic Ranked Retrieval
Christina Brandt, Thorsten Joachims, Yisong Yue and Jacob Bank.
Keywords: Ranking and Machine Learning for Ranking, Diversified Retrieval, Relevance Feedback, Decision Theory, Personalized Search and Ranking.

Quality-Biased Ranking of Web Documents
Michael Bendersky, W. Bruce Croft and Yanlei Diao.
Keywords: quality-biased ranking, document quality, web search.

Ranking From Pairs and Triplets: Information Quality, Evaluation Methods and Query Complexity
Kira Radinsky and Nir Ailon.
Keywords: Search Quality, Search Evaluation, Ranking Evaluations, Preference Analysis.

We Feel Fine and Searching the Emotional Web
Sepandar Kamvar and Jonathan Harris.
Keywords: Social Media Mining, Sentiment Analysis, Exploratory Sentiment Visualization.

On the Selection of Tags for Tag Clouds
Petros Venetis, Georgia Koutrika and Hector Garcia-Molina.
Keywords: search, tag, tag cloud.

Efficient Indexing of Repeated n-Grams
Samuel Huston, Alistair Moffat and W. Bruce Croft.
Keywords: Repeated phrase, n-gram, hash filter, text reuse, scalable algorithm, distributed algorithm.

Batch Query Processing for Web Search Engines
Shuai Ding, Josh Attenberg, Ricardo Baeza-Yates and Torsten Suel.
Keywords: Web Search Performance, Query Processing, Caching, Algorithms, Measurement, Experimentation.

Detecting Duplicate Web Documents using Clickthrough Data
Filip Radlinski, Paul N. Bennett and Emine Yilmaz.
Keywords: Duplication, Redundancy, Novelty, Utility, Web Search.

KMV-Peer: A Robust and Adaptive Peer-Selection Algorithm
Yosi Mass, Yehoshua Sagiv and Michal Shmueli-Scheuer.
Keywords: P2P Search, Performance, Adaptive algorithm.

Understanding Temporal Query Dynamics
Anagha Kulkarni, Jaime Teevan, Krysta Svore and Susan Dumais.
Keywords: temporal dynamics, query intent, query popularity, results content.

Patterns of Temporal Variation in Online Media
Jaewon Yang and Jure Leskovec.
Keywords: information cascade, time-series clustering, online media.

Using Graded-Relevance Metrics for Evaluating Community QA Answer Selection
Tetsuya Sakai, Daisuke Ishikawa, Noriko Kando, Yohei Seki, Kazuko Kuriyama and Chin-Yew Lin.
Keywords: best answers, community question answering, evaluation, graded relevance, NTCIR, test collections.

Mining Social Images with Distance Metric Learning for Automated Image Tagging
Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao and Ying He.
Keywords: social images, distance metric learning, inductive learning, transductive learning, automated image tagging.

Dynamic Relationship and Event Discovery
Anish Das Sarma, Alpa Jain and Cong Yu.
Keywords: entity relationship discovery, event discovery, algorithm.

Joint Training for Open-domain Extraction on the Web: Exploiting Overlap when Supervision is Limited
Rahul Gupta and Sunita Sarawagi.
Keywords: Conditional Random Fields, Collective Training, Graphical Models, Open-domain Ad-hoc Extraction, Learning-based Record Extractors.

Scalable Knowledge Harvesting with High Precision and High Recall
Ndapandula Nakashole, Martin Theobald and Gerhard Weikum.
Keywords: Knowledge Harvesting, Information Extraction, Scalability.

Mining Named Entities with Temporally Correlated Bursts from Multilingual Web News Streams
Alexander Kotov, ChengXiang Zhai and Richard Sporat.
Keywords: text streams, natural language processing, transliteration, probabilistic modeling, dynamic programming.

Understanding and Predicting Personal Navigation
Jaime Teevan, Daniel J. Liebling and Gayathri Ravichandran Geetha.
Keywords: navigation, query intent, personalization, query log analysis.

Optimizing Two-Dimensional Search Results Presentation
Flavio Chierichetti, Ravi Kumar and Prabhakar Raghavan.
Keywords: Two-dimensional search results, Markov chains, Placement problem.

Result Enrichment in Commerce Search using Browse Trails
Sreenivas Gollapudi and Debmalya Panigrahi.
Keywords: commerce search, browse trails, result enrichment, web domain annotation.

Identifying Task-based Sessions in Search Engine Query Logs
Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri and Gabriele Tolomei.
Keywords: Query Log Mining, Query Log Session Boundary Detection, Task-based Sessions, Query Clustering.

Recommender Systems with Social Regularization
Hao Ma, Dengyong Zhou, Chao Liu, Michael R. Lyu and Irwin King.
Keywords: Recommender Systems, Collaborative Filtering, Social Network, Matrix Factorization, Social Regularization.

Unbiased Offline Evaluation of Contextual-bandit-based News Article Recommendation Algorithms
Lihong Li, Wei Chu, John Langford and Xuanhui Wang.
Keywords: recommendation, offline evaluation, benchmark dataset, contextual multi-armed bandit.

Efficient Online Ad Serving in a Display Advertising Meta-Exchange
Kevin Lang, Joaquin Delgado, Swaroop Jagadish, Amita Gajewar, Dongming Jiang, Michael Bindeberger-Ortega, Bhaskar Ghosh, Shirshanka Das, Arathi Seshan, Chavdar Botev, Sunil Nagaraj and Raymie Stata.
Keywords: Display Advertising, Online Ad Serving, Graph Algorithm, Constrained Path Optimization, Ad Exchange.

Trend Analysis Model: Trend consists of temporal words, topics, and timestamps
Noriaki KAWAMAE.
Keywords: Topic Modeling, Latent Variable Modeling, Graphical Models, Trend Analysis, Timestamped data.