Stop the war!
Остановите войну!
for scientists:
default search action
21st CIKM 2012: Maui, HI, USA
- Xue-wen Chen, Guy Lebanon, Haixun Wang, Mohammed J. Zaki:
21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012. ACM 2012, ISBN 978-1-4503-1156-4
Keynote address
- Ricardo Baeza-Yates, Mounia Lalmas:
User engagement: the network effect matters! 1-2 - William W. Cohen:
Learning similarity measures based on random walks. 3 - Jeffrey Scott Vitter:
Compressed data structures with relevance. 4-5
KM track: recommender systems
- Dhruv Kumar Mahajan, Rajeev Rastogi, Charu Tiwari, Adway Mitra:
LogUCB: an explore-exploit algorithm for comments recommendation. 6-15 - Ruirui Li, Ben Kao, Bin Bi, Reynold Cheng, Eric Lo:
DQR: a probabilistic approach to diversified query recommendation. 16-25 - Ioannis Antonellis, Anish Das Sarma, Shaddin Dughmi:
Dynamic covering for recommendation systems. 26-34 - Lei Li, Tao Li:
MEET: a generalized framework for reciprocal recommender systems. 35-44 - Meng Jiang, Peng Cui, Rui Liu, Qiang Yang, Fei Wang, Wenwu Zhu, Shiqiang Yang:
Social contextual recommendation. 45-54
KM track: pattern mining
- Mengchi Liu, Jun-Feng Qu:
Mining high utility itemsets without candidate generation. 55-64 - Weishan Dong, Wei Fan, Lei Shi, Changjin Zhou, Xifeng Yan:
A general framework to encode heterogeneous information sources for contextual pattern mining. 65-74 - Linpeng Tang, Lei Zhang, Ping Luo, Min Wang:
Incorporating occupancy into frequent pattern mining for high quality pattern recommendation. 75-84 - Matteo Riondato, Justin A. DeBrabant, Rodrigo Fonseca, Eli Upfal:
PARMA: a parallel randomized algorithm for approximate association rules mining in MapReduce. 85-94 - Mansurul Bhuiyan, Snehasis Mukhopadhyay, Mohammad Al Hasan:
Interactive pattern mining on hidden data: a sampling-based solution. 95-104
IR track: evaluation methodologies
- Gabriella Kazai, Nick Craswell, Emine Yilmaz, Seyed M. M. Tahaghoghi:
An analysis of systematic judging errors in information retrieval. 105-114 - Katja Hofmann, Fritz Behr, Filip Radlinski:
On caption bias in interleaving experiments. 115-124 - William Webber, Praveen Chandar, Ben Carterette:
Alternative assessor disagreement and retrieval depth. 125-134 - Ben Carterette, Evangelos Kanoulas, Emine Yilmaz:
Incorporating variability in user behavior into systems based evaluation. 135-144 - Shahzad Rajput, Matthew Ekstrand-Abueg, Virgiliu Pavlu, Javed A. Aslam:
Constructing test collections by inferring document relevance via extracted relevant information. 145-154
IR track: social media search
- Chenliang Li, Aixin Sun, Anwitaman Datta:
Twevent: segment-based event detection from tweets. 155-164 - Marco Pennacchiotti, Fabrizio Silvestri, Hossein Vahabi, Rossano Venturini:
Making your interests follow you on twitter. 165-174 - Chen Lin, Chun Lin, Jingxuan Li, Dingding Wang, Yang Chen, Tao Li:
Generating event storylines from microblogs. 175-184 - Marijn Koolen, Jaap Kamps, Gabriella Kazai:
Social book search: comparing topical relevance judgements and book suggestions for evaluation. 185-194 - Krishna Yeswanth Kamath, James Caverlee:
Content-based crowd retrieval on the real-time web. 195-204
KM track: link and graph mining
- Yuanyuan Zhu, Jeffrey Xu Yu, Hong Cheng, Lu Qin:
Graph classification: a diversified discriminative feature selection approach. 205-214 - Donghyuk Shin, Si Si, Inderjit S. Dhillon:
Multi-scale link prediction. 215-224 - Hoda Eldardiry, Jennifer Neville:
An analysis of how ensembles of collective classifiers improve predictions in graphs. 225-234 - Nan Li, Xifeng Yan, Zhen Wen, Arijit Khan:
Density index and proximity search in large graphs. 235-244 - Hanghang Tong, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos, Christos Faloutsos:
Gelling, and melting, large graphs by edge manipulation. 245-254
IR track: language technologies
- Zhen Hai, Kuiyu Chang, Gao Cong:
One seed to find them all: mining opinion features via association. 255-264 - Zongyang Ma, Aixin Sun, Quan Yuan, Gao Cong:
Topic-driven reader comments summarization. 265-274 - Rui Yan, Xiaojun Wan, Mirella Lapata, Wayne Xin Zhao, Pu-Jen Cheng, Xiaoming Li:
Visualizing timelines: evolutionary summarization via iterative reinforcement between text and image streams. 275-284 - Xu Sun, Anshumali Shrivastava, Ping Li:
Fast multi-task learning for query spelling correction. 285-294 - Yu Hong, Xiaopei Zhou, Tingting Che, Jian-Min Yao, Qiaoming Zhu, Guodong Zhou:
Cross-argument inference for implicit discourse relation recognition. 295-304
DB track: graph and knowledge base
- Jeffrey Pound, Alexander K. Hudek, Ihab F. Ilyas, Grant E. Weddell:
Interpreting keyword queries over web knowledge bases. 305-314 - Zhihong Chong, He Chen, Zhenjie Zhang, Hu Shu, Guilin Qi, Aoying Zhou:
RDF pattern matching using sortable views. 315-324 - Wenqing Lin, Xiaokui Xiao, James Cheng, Sourav S. Bhowmick:
Efficient algorithms for generalized subgraph query processing. 325-334 - Sherif Sakr, Sameh Elnikety, Yuxiong He:
G-SPARQL: a hybrid engine for querying large attributed graphs. 335-344 - Wei Shen, Jianyong Wang, Ping Luo, Min Wang:
A graph-based approach for ontology population with named entities. 345-354
DB track: temporal, spatial and multimedia databases
- Mijung Kim, K. Selçuk Candan:
Decomposition-by-normalization (DBN): leveraging approximate functional dependencies for efficient tensor decomposition. 355-364 - Yifan Jin, Reynold Cheng, Ben Kao, Kam-yiu Lam, Yinuo Zhang:
A filter-based protocol for continuous queries over imprecise location data. 365-374 - Da Yan, Zhou Zhao, Wilfred Ng:
Leveraging read rates of passive RFID tags for real-time indoor location tracking. 375-384 - Ruicheng Zhong, Ju Fan, Guoliang Li, Kian-Lee Tan, Lizhu Zhou:
Location-aware instant search. 385-394 - Tobias Emrich, Hans-Peter Kriegel, Nikos Mamoulis, Matthias Renz, Andreas Züfle:
Indexing uncertain spatio-temporal data. 395-404
KM track: matrix methods and anomaly detection
- Hao Huang, Hong Qin, Shinjae Yoo, Dantong Yu:
Local anomaly descriptor: a robust unsupervised algorithm for anomaly detection based on diffusion space. 405-414 - Leman Akoglu, Hanghang Tong, Jilles Vreeken, Christos Faloutsos:
Fast and reliable anomaly detection in categorical data. 415-424 - Orly Moreno, Bracha Shapira, Lior Rokach, Guy Shani:
TALMUD: transfer learning for multiple domains. 425-434 - Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao:
Utilizing common substructures to speedup tensor factorization for mining dynamic graphs. 435-444
KM track: social networks
- Farshad Kooti, Winter A. Mason, P. Krishna Gummadi, Meeyoung Cha:
Predicting emerging social conventions in online social networks. 445-454 - Ze Li, Haiying Shen, Joseph Edward Grant:
Collective intelligence in the online social network of yahoo!answers and its implications. 455-464 - Chunyan Wang, Mao Ye, Wang-Chien Lee:
From face-to-face gathering to social structure. 465-474 - Mingqiang Xue, Panagiotis Karras, Chedy Raïssi, Panos Kalnis, Hung Keng Pung:
Delineating social network data anonymization via random edge perturbation. 475-484
IR track: advertising
- Tianbing Xu, Ruofei Zhang, Zhen Guo:
Multiview hierarchical bayesian regression model andapplication to online advertising. 485-494 - Javad Azimi, Ruofei Zhang, Yang Zhou, Vidhya Navalpakkam, Jianchang Mao, Xiaoli Z. Fern:
Visual appearance of display ads and its effect on click through rate. 495-504 - Takehiro Yamamoto, Tetsuya Sakai, Mayu Iwata, Chen Yu, Ji-Rong Wen, Katsumi Tanaka:
The wisdom of advertisers: mining subgoals via query clustering. 505-514 - Shuai Yuan, Jun Wang:
Sequential selection of correlated ads by POMDPs. 515-524
IR track: system architecture, distributed IR, scalability
- Mostafa Keikha, Fabio Crestani, W. Bruce Croft:
Diversity in blog feed retrieval. 525-534 - Noam Koenigstein, Parikshit Ram, Yuval Shavitt:
Efficient retrieval of recommendations in a matrix factorization framework. 535-544 - Johannes Hoffart, Stephan Seufert, Dat Ba Nguyen, Martin Theobald, Gerhard Weikum:
KORE: keyphrase overlap relatedness for entity disambiguation. 545-554 - Anagha Kulkarni, Almer S. Tigelaar, Djoerd Hiemstra, Jamie Callan:
Shard ranking and cutoff estimation for topically partitioned collections. 555-564
KM track: advertisement and products
- Theodoros Lappas, Evimaria Terzi:
Daily-deal selection for revenue maximization. 565-574 - Ariel Fuxman, Anitha Kannan, Zhenhui Li, Panayiotis Tsaparas:
Enabling direct interest-aware audience selection. 575-584 - Shahrzad Shirazipourazad, Brian Bogard, Harsh Vachhani, Arunabha Sen, Paul Horn:
Influence propagation in adversarial setting: how to defeat competition with least amount of investment. 585-594 - Dan Shen, Jean-David Ruvini, Badrul Sarwar:
Large-scale item categorization for e-commerce. 595-604 - Vishrawas Gopalakrishnan, Suresh Parthasarathy Iyengar, Amit Madaan, Rajeev Rastogi, Srinivasan H. Sengamedu:
Matching product titles using web-based enrichment. 605-614
KM track: clustering
- Kai-Yang Chiang, Joyce Jiyoung Whang, Inderjit S. Dhillon:
Scalable clustering of signed networks using balance normalized cut. 615-624 - Xuhui Fan, Lin Zhu, Longbing Cao, Xia Cui, Yew-Soon Ong:
Maximum margin clustering on evolutionary data. 625-634 - Tim Weninger, Yonatan Bisk, Jiawei Han:
Document-topic hierarchies from document graphs. 635-644 - Xiang Wang, Buyue Qian, Ian Davidson:
Improving document clustering using automated machine translation. 645-653 - Michail Vlachos, Aleksander Wieczorek, Johannes Schneider:
Right-protected data publishing with hierarchical clustering preservation. 654-663
IR track: recommendation systems
- Azarias Reda, Yubin Park, Mitul Tiwari, Christian Posse, Sam Shah:
Metaphor: a system for related search recommendations. 664-673 - Xingjie Liu, Yuan Tian, Mao Ye, Wang-Chien Lee:
Exploring personal impact for group recommendation. 674-683 - Yongli Ren, Gang Li, Jun Zhang, Wanlei Zhou:
The efficient imputation method for neighborhood-based collaborative filtering. 684-693 - Deepak Agarwal, Bee-Chung Chen, Xuanhui Wang:
Multi-faceted ranking of news articles using post-read actions. 694-703 - Thanasis G. Papaioannou, Jean-Eudes Ranvier, Alexandra Olteanu, Karl Aberer:
A decentralized recommender system for effective web credibility assessment. 704-713
IR track: digital libraries and citation analysis
- Xiaorui Jiang, Xiaoping Sun, Hai Zhuge:
Towards an effective and unbiased ranking of scientific literature through mutual reinforcement. 714-723 - Tam T. Nguyen, Kuiyu Chang, Siu Cheung Hui:
A math-aware search engine for math question answering system. 724-733 - Muhammad Ali Norozi, Paavo Arvola, Arjen P. de Vries:
Contextualization using hyperlinks and internal hierarchical structure of Wikipedia documents. 734-743 - Jin Young Kim, Henry Allen Feild, Marc-Allen Cartright:
Understanding book search behavior on the web. 744-753 - Ruben Sipos, Adith Swaminathan, Pannaga Shivaswamy, Thorsten Joachims:
Temporal corpus summarization using submodular word coverage. 754-763
KM track: text mining
- Guodong Long, Ling Chen, Xingquan Zhu, Chengqi Zhang:
TCSST: transfer classification of short & sparse text using external data. 764-772 - Karla L. Caballero Espinosa, Joel Barajas, Ram Akella:
The generalized dirichlet distribution in enhanced topic detection. 773-782 - Joon Hee Kim, Dongwoo Kim, Suin Kim, Alice Oh:
Modeling topic hierarchies with the recursive chinese restaurant process. 783-792 - P. Deepak, Karthik Visweswariah, Nirmalie Wiratunga, Sadiq Sani:
Two-part segmentation of text documents. 793-802 - Samaneh Moghaddam, Martin Ester:
On the design of LDA models for aspect-based opinion mining. 803-812
IR track: formal retrieval models and learning to rank
- Gad Markovits, Anna Shtok, Oren Kurland, David Carmel:
Predicting query performance for fusion-based retrieval. 813-822 - Oren Kurland, Anna Shtok, Shay Hummel, Fiana Raiber, David Carmel, Ofri Rom:
Back to the roots: a probabilistic framework for query-performance prediction. 823-832 - Arvind Agarwal, Hema Raghavan, Karthik Subbian, Prem Melville, Richard D. Lawrence, David Gondek, James Fan:
Learning to rank for robust question answering. 833-842 - Maksims Volkovs, Hugo Larochelle, Richard S. Zemel:
Learning to rank by aggregating expert preferences. 843-851 - Jian Zhou, Hongyu Zhang:
Learning to rank duplicate bug reports. 852-861
DB track: probabilistic and uncertain data
- Zhou Zhao, Wilfred Ng:
A model-based approach for RFID data stream cleansing. 862-871 - Giansalvatore Mecca, Paolo Papotti, Salvatore Raunich, Donatello Santoro:
What is the IQ of your data transformation system? 872-881 - Fereidoon Sadri:
On the foundations of probabilistic information integration. 882-891 - Yusuke Kozawa, Toshiyuki Amagasa, Hiroyuki Kitagawa:
GPU acceleration of probabilistic frequent itemset mining from uncertain databases. 892-901 - Werner Nutt, Simon Razniewski:
Completeness of queries over SQL databases. 902-911
DB track: top-k and nearest neighbor queries
- Aleksandar Stupar, Sebastian Michel:
Being picky: processing top-k queries with set-defined selections. 912-921 - Liming Zhan, Ying Zhang, Wenjie Zhang, Xuemin Lin:
Finding top k most influential spatial facilities over uncertain objects. 922-931 - Weihuang Huang, Guoliang Li, Kian-Lee Tan, Jianhua Feng:
Efficient safe-region construction for moving top-K spatial keyword queries. 932-941 - Da Yan, Zhou Zhao, Wilfred Ng:
Monochromatic and bichromatic reverse nearest neighbor queries on land surfaces. 942-951 - Tom Crecelius, Ralf Schenkel:
Pay-as-you-go maintenance of precomputed nearest neighbors in large graphs. 952-961
KM track: spatial and temporal methods
- Krishna Yeswanth Kamath, James Caverlee, Zhiyuan Cheng, Daniel Z. Sui:
Spatial influence vs. community influence: modeling the global spread of social media. 962-971 - Xuning Tang, Christopher C. Yang:
TUT: a statistical model for detecting trends, topics and user interests in social media. 972-981 - Shu Huang, Min Chen, Bo Luo, Dongwon Lee:
Predicting aggregate social activities using continuous-time stochastic process. 982-991 - Partha Pratim Talukdar, Derry Wijaya, Tom M. Mitchell:
Acquiring temporal constraints between relations. 992-1001
IR track: web search
- Matthias Hagen, Martin Potthast, Anna Beyer, Benno Stein:
Towards optimum query segmentation: in doubt without. 1015-1024 - Abdigani Diriye, Ryen White, Georg Buscher, Susan T. Dumais:
Leaving so soon?: understanding and predicting web search abandonment rationales. 1025-1034 - Huizhong Duan, Emre Kiciman, ChengXiang Zhai:
Click patterns: an empirical representation of complex query intents. 1035-1044 - Van Dang, Giridhar Kumaran, Adam D. Troy:
Domain dependent query reformulation for web search. 1045-1054
DB track: web data management
- Anish Das Sarma, Ankur Jain, Ashwin Machanavajjhala, Philip Bohannon:
An automatic blocking mechanism for large-scale de-duplication tasks. 1055-1064 - Nelly Vouzoukidou, Bernd Amann, Vassilis Christophides:
Processing continuous text queries featuring non-homogeneous scoring functions. 1065-1074 - Abhijith Kashyap, Vagelis Hristidis:
Comprehension-based result snippets. 1075-1084 - Xing Niu, Shu Rong, Haofen Wang, Yong Yu:
An effective rule miner for instance matching in a web of data. 1085-1094
KM track: information extraction
- Yi Jia, Wenrong Zeng, Jun Huan:
Non-stationary bayesian networks based on perfect simulation. 1095-1104 - Ang Sun, Ralph Grishman:
Active learning for relation type extension with local and global data views. 1105-1112 - Sriram Srinivasan, Sourangshu Bhattacharya, Rudrasis Chakraborty:
Segmenting web-domains and hashtags using length specific models. 1113-1122 - André Blessing, Hinrich Schütze:
Crosslingual distant supervision for extracting relations of different complexity. 1123-1132 - Siddharth Patwardhan, Branimir Boguraev, Apoorv Agarwal, Alessandro Moschitti, Jennifer Chu-Carroll:
Labeling by landscaping: classifying tokens in context by pruning and decorating trees. 1133-1142
IR track: topic modeling and content and sentiment analysis
- Di Jiang, Jan Vosecky, Kenneth Wai-Ting Leung, Wilfred Ng:
G-WSTD: a framework for geographic web search topic discovery. 1143-1152 - Chee Wee Leong, Silviu Cucerzan:
Supporting factual statements with evidence from the web. 1153-1162 - Haitao Yu, Fuji Ren:
Role-explicit query identification and intent role annotation. 1163-1172 - Wei Gao, Peng Li, Kareem Darwish:
Joint topic modeling for event summarization across news and social media streams. 1173-1182
DB track: query processing, optimization and performance
- Shirui Pan, Xingquan Zhu:
CGStream: continuous correlated graph query for data streams. 1183-1192 - Anastasios Arvanitis, Antonios Deligiannakis, Yannis Vassiliou:
Efficient influence-based processing of market research queries. 1193-1202 - Aditya G. Parameswaran, Hyunjung Park, Hector Garcia-Molina, Neoklis Polyzotis, Jennifer Widom:
Deco: declarative crowdsourcing. 1203-1212 - Shiwen Cheng, Arash Termehchy, Vagelis Hristidis:
Predicting the effectiveness of keyword queries on databases. 1213-1222 - Yingjie Shi, Xiaofeng Meng, Fusheng Wang, Yantao Gan:
You can stop early with COLA: online processing of aggregate queries in the cloud. 1223-1232