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26th WWW 2017: Perth, Australia
- Rick Barrett, Rick Cummings, Eugene Agichtein, Evgeniy Gabrilovich:
Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3-7, 2017. ACM 2017, ISBN 978-1-4503-4913-0
Keynote Talks
- Melanie Johnston-Hollitt
:
Taming the Data Deluge to Unravel the Mysteries of the Universe. 1 - Mark Pesce:
The Web-Wide World. 3 - Yoelle Maarek:
Web Mail is not Dead!: It's Just Not Human Anymore. 5
1B: Ad Auctions
- Vahab S. Mirrokni, Hamid Nazerzadeh:
Deals or No Deals: Contract Design for Online Advertising. 7-14 - Santiago R. Balseiro, Anthony Kim
Budget Management Strategies in Repeated Auctions. 15-23 - Christopher A. Wilkens, Ruggiero Cavallo, Rad Niazadeh
GSP: The Cinderella of Mechanism Design. 25-32 - Alexey Drutsa:
Horizon-Independent Optimal Pricing in Repeated Auctions with Truthful and Strategic Buyers. 33-42 - Ruggiero Cavallo, Prabhakar Krishnamurthy, Maxim Sviridenko, Christopher A. Wilkens:
Sponsored Search Auctions with Rich Ads. 43-51
1C: Cloud and Sharing Economy
- Zhixuan Fang, Longbo Huang, Adam Wierman:
Prices and Subsidies in the Sharing Economy. 53-62 - Siddhartha Banerjee, Sreenivas Gollapudi, Kostas Kollias, Kamesh Munagala
Segmenting Two-Sided Markets. 63-72 - Noam Nisan
An Experimental Evaluation of Regret-Based Econometrics. 73-81 - Cinar Kilcioglu, Justin M. Rao, Aadharsh Kannan, R. Preston McAfee:
Usage Patterns and the Economics of the Public Cloud. 83-91
1D: Computational Health
- Yilin Wang, Jiliang Tang, Jundong Li, Baoxin Li, Yali Wan, Clayton Mellina, Neil O'Hare, Yi Chang
Understanding and Discovering Deliberate Self-harm Content in Social Media. 93-102 - Sandra Servia Rodríguez, Kiran K. Rachuri, Cecilia Mascolo, Peter J. Rentfrow, Neal Lathia, Gillian M. Sandstrom
Mobile Sensing at the Service of Mental Well-being: a Large-scale Longitudinal Study. 103-112 - Tim Althoff, Eric Horvitz, Ryen W. White, Jamie M. Zeitzer
Harnessing the Web for Population-Scale Physiological Sensing: A Case Study of Sleep and Performance. 113-122 - Shaodian Zhang, Tian Kang, Lin Qiu, Weinan Zhang, Yong Yu, Noémie Elhadad:
Cataloguing Treatments Discussed and Used in Online Autism Communities. 123-131
1G: Ubiquitous and Mobile 1
- Jin-woo Kwon, Soo-Mook Moon:
Web Application Migration with Closure Reconstruction. 133-142 - Mengwei Xu, Yun Ma, Xuanzhe Liu, Felix Xiaozhu Lin, Yunxin Liu:
AppHolmes: Detecting and Characterizing App Collusion among Third-Party Android Markets. 143-152 - Elias P. Papadopoulos, Michalis Diamantaris, Panagiotis Papadopoulos
The Long-Standing Privacy Debate: Mobile Websites vs Mobile Apps. 153-162 - Haoyu Wang, Zhe Liu, Yao Guo
An Explorative Study of the Mobile App Ecosystem from App Developers' Perspective. 163-172
1H: Recommeder Systems 1
- Xiangnan He, Lizi Liao
Neural Collaborative Filtering. 173-182 - Peizhe Cheng, Shuaiqiang Wang, Jun Ma, Jiankai Sun, Hui Xiong:
Learning to Recommend Accurate and Diverse Items. 183-192 - Cheng-Kang Hsieh, Longqi Yang, Yin Cui, Tsung-Yi Lin, Serge J. Belongie
Collaborative Metric Learning. 193-201 - Alex Beutel, Ed Huai-hsin Chi, Zhiyuan Cheng, Hubert Pham, John R. Anderson:
Beyond Globally Optimal: Focused Learning for Improved Recommendations. 203-212
2B: Algorithms and Theory 1
- Tsubasa Takahashi, Bryan Hooi, Christos Faloutsos:
AutoCyclone: Automatic Mining of Cyclic Online Activities with Robust Tensor Factorization. 213-221 - Yuan Lin, Wei Chen
Assessing Percolation Threshold Based on High-Order Non-Backtracking Matrices. 223-232 - Maximilien Danisch, T.-H. Hubert Chan, Mauro Sozio:
Large Scale Density-friendly Graph Decomposition via Convex Programming. 233-242 - Xinsheng Li, K. Selçuk Candan, Maria Luisa Sapino:
nTD: Noise-Profile Adaptive Tensor Decomposition. 243-252
2C: Systems and Infrastructure 1
- Osama Haq, Mamoon Raja, Fahad R. Dogar:
Measuring and Improving the Reliability of Wide-Area Cloud Paths. 253-262 - Henrique Moniz, João Leitão
Blotter: Low Latency Transactions for Geo-Replicated Storage. 263-272 - Charles L. A. Clarke, Gordon V. Cormack, Jimmy Lin, Adam Roegiest:
Ten Blue Links on Mars. 273-281 - Albert van der Linde, Pedro Fouto
Legion: Enriching Internet Services with Peer-to-Peer Interactions. 283-292
2D: Computational Health 2
- Luca Soldaini, Elad Yom-Tov:
Inferring Individual Attributes from Search Engine Queries and Auxiliary Information. 293-301 - Daniela Perrotta, Michele Tizzoni, Daniela Paolotti:
Using Participatory Web-based Surveillance Data to Improve Seasonal Influenza Forecasting in Italy. 303-310 - Qian Zhang, Nicola Perra, Daniela Perrotta, Michele Tizzoni, Daniela Paolotti, Alessandro Vespignani
Forecasting Seasonal Influenza Fusing Digital Indicators and a Mechanistic Disease Model. 311-319 - Maulik R. Kamdar, Mark A. Musen
PhLeGrA: Graph Analytics in Pharmacology over the Web of Life Sciences Linked Open Data. 321-329
2G: Ubiquitous and Mobile 2
- Min Hong Yun, Songtao He, Lin Zhong:
Reducing Latency by Eliminating Synchrony. 331-340 - Giovanni Campagna, Rakesh Ramesh, Silei Xu, Michael Fischer, Monica S. Lam:
Almond: The Architecture of an Open, Crowdsourced, Privacy-Preserving, Programmable Virtual Assistant. 341-350 - Shuochao Yao, Shaohan Hu, Yiran Zhao, Aston Zhang, Tarek F. Abdelzaher:
DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing. 351-360 - Chao Zhang
Regions, Periods, Activities: Uncovering Urban Dynamics via Cross-Modal Representation Learning. 361-370
2H: Recommender Systems 2
- Dimitris Serbos, Shuyao Qi, Nikos Mamoulis, Evaggelia Pitoura, Panayiotis Tsaparas
Fairness in Package-to-Group Recommendations. 371-379 - Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Streaming Recommender Systems. 381-389 - Suhang Wang
What Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation. 391-400 - Tuan-Anh Nguyen Pham, Xutao Li, Gao Cong
A General Model for Out-of-town Region Recommendation. 401-410
3B: Algorithms and Theory 2
- Ravi Kumar, Maithra Raghu, Tamás Sarlós, Andrew Tomkins:
Linear Additive Markov Processes. 411-419 - Alessandro Epasto
Submodular Optimization Over Sliding Windows. 421-430 - Aneesh Sharma, C. Seshadhri, Ashish Goel:
When Hashes Met Wedges: A Distributed Algorithm for Finding High Similarity Vectors. 431-440 - Shweta Jain, C. Seshadhri:
A Fast and Provable Method for Estimating Clique Counts Using Turán's Theorem. 441-449
3C: Systems and Infrastructure 2
- Gareth Tyson, Shan Huang, Félix Cuadrado
Exploring HTTP Header Manipulation In-The-Wild. 451-458 - Sanae Rosen, Bo Han, Shuai Hao, Zhuoqing Morley Mao, Feng Qian:
Push or Request: An Investigation of HTTP/2 Server Push for Improving Mobile Performance. 459-468 - Hiranya Jayathilaka, Chandra Krintz, Rich Wolski:
Performance Monitoring and Root Cause Analysis for Cloud-hosted Web Applications. 469-478 - Valentin Dalibard, Michael Schaarschmidt, Eiko Yoneki:
BOAT: Building Auto-Tuners with Structured Bayesian Optimization. 479-488
3D: Computational Health 3
- Christoph Trattner, David Elsweiler:
Investigating the Healthiness of Internet-Sourced Recipes: Implications for Meal Planning and Recommender Systems. 489-498 - Deepika Yadav
Sangoshthi: Empowering Community Health Workers through Peer Learning in Rural India. 499-508 - Ferda Ofli, Yusuf Aytar, Ingmar Weber, Raggi al Hammouri, Antonio Torralba:
Is Saki #delicious?: The Food Perception Gap on Instagram and Its Relation to Health. 509-518 - David Stück, Haraldur Tómas Hallgrímsson, Greg Ver Steeg, Alessandro Epasto
The Spread of Physical Activity Through Social Networks. 519-528
3G: Search Applications
- David Goldberg, Andrew Trotman, Xiao Wang, Wei Min, Zongru Wan:
Drawing Sound Conclusions from Noisy Judgments. 529-537 - Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang
Exploring Query Auto-Completion and Click Logs for Contextual-Aware Web Search and Query Suggestion. 539-548 - Adam Fourney
Web Search as a Linguistic Tool. 549-557 - Yashen Wang, Heyan Huang, Chong Feng
Query Expansion Based on a Feedback Concept Model for Microblog Retrieval. 559-568
3H: Information Cascades
- Karol Wegrzycki
Why Do Cascade Sizes Follow a Power-Law? 569-576 - Cheng Li, Jiaqi Ma
DeepCas: An End-to-end Predictor of Information Cascades. 577-586 - Rahmtin Rotabi, Krishna Kamath, Jon M. Kleinberg, Aneesh Sharma:
Cascades: A View from Audience. 587-596 - Karthik Subbian, B. Aditya Prakash, Lada A. Adamic:
Detecting Large Reshare Cascades in Social Networks. 597-605
4B: Crowdsourcing 1
- Zhijing Li, Ana Nika, Xinyi Zhang, Yanzi Zhu, Yuanshun Yao, Ben Y. Zhao, Haitao Zheng:
Identifying Value in Crowdsourced Wireless Signal Measurements. 607-616 - Nikhil Garg, Vijay Kamble, Ashish Goel, David Marn, Kamesh Munagala:
Collaborative Optimization for Collective Decision-making in Continuous Spaces. 617-626 - Leye Wang, Dingqi Yang, Xiao Han, Tianben Wang, Daqing Zhang, Xiaojuan Ma:
Location Privacy-Preserving Task Allocation for Mobile Crowdsensing with Differential Geo-Obfuscation. 627-636 - Yaguang Li, Han Su, Ugur Demiryurek, Bolong Zheng, Tieke He, Cyrus Shahabi:
PaRE: A System for Personalized Route Guidance. 637-646
4C: Security 1
- Milivoj Simeonovski, Giancarlo Pellegrino, Christian Rossow, Michael Backes:
Who Controls the Internet?: Analyzing Global Threats using Property Graph Traversals. 647-656 - Rebecca S. Portnoff, Sadia Afroz, Greg Durrett, Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Damon McCoy, Kirill Levchenko, Vern Paxson:
Tools for Automated Analysis of Cybercriminal Markets. 657-666 - Qian Cui, Guy-Vincent Jourdan, Gregor von Bochmann, Russell Couturier, Iosif-Viorel Onut:
Tracking Phishing Attacks Over Time. 667-676 - Deepak Kumar, Zane Ma, Zakir Durumeric, Ariana Mirian, Joshua Mason, J. Alex Halderman, Michael D. Bailey:
Security Challenges in an Increasingly Tangled Web. 677-684
4D: Computational Health 4
- Xiaohan Li
Blood Pressure Prediction via Recurrent Models with Contextual Layer. 685-693 - Vasileios Lampos
Enhancing Feature Selection Using Word Embeddings: The Case of Flu Surveillance. 695-704 - Kathy Lee, Ashequl Qadir, Sadid A. Hasan, Vivek V. Datla, Aaditya Prakash, Joey Liu, Oladimeji Farri:
Adverse Drug Event Detection in Tweets with Semi-Supervised Convolutional Neural Networks. 705-714 - Yoshihiko Suhara, Yinzhan Xu, Alex 'Sandy' Pentland:
DeepMood: Forecasting Depressed Mood Based on Self-Reported Histories via Recurrent Neural Networks. 715-724
4G: Social 1
- Minh X. Hoang, Xuan-Hong Dang, Xiang Wu, Zhenyu Yan, Ambuj K. Singh:
GPOP: Scalable Group-level Popularity Prediction for Online Content in Social Networks. 725-733 - Marian-Andrei Rizoiu
Expecting to be HIP: Hawkes Intensity Processes for Social Media Popularity. 735-744 - Andrés Abeliuk, Gerardo Berbeglia, Pascal Van Hentenryck, Tad Hogg, Kristina Lerman:
Taming the Unpredictability of Cultural Markets with Social Influence. 745-754 - Julia Proskurnia, Przemyslaw A. Grabowicz, Ryota Kobayashi
Predicting the Success of Online Petitions Leveraging Multidimensional Time-Series. 755-764
4H: Semantics and Knowledge
- Jiani Zhang, Xingjian Shi, Irwin King
Dynamic Key-Value Memory Networks for Knowledge Tracing. 765-774 - Simon Walk, Lisette Espin Noboa
How Users Explore Ontologies on the Web: A Study of NCBO's BioPortal Usage Logs. 775-784 - HyeongSik Kim, Padmashree Ravindra, Kemafor Anyanwu
Type-based Semantic Optimization for Scalable RDF Graph Pattern Matching. 785-793 - Marco Brambilla, Stefano Ceri, Emanuele Della Valle, Riccardo Volonterio, Felix Xavier Acero Salazar:
Extracting Emerging Knowledge from Social Media. 795-804 - Cuong Xuan Chu, Niket Tandon, Gerhard Weikum:
Distilling Task Knowledge from How-To Communities. 805-814
5B: Crowdsourcing 2
- Seongsoon Kim, Seongwoon Lee, Donghyeon Park, Jaewoo Kang:
Constructing and Evaluating a Novel Crowdsourcing-based Paraphrased Opinion Spam Dataset. 827-836 - Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly
Optimizing the Recency-Relevancy Trade-off in Online News Recommendations. 837-846 - Behzad Tabibian, Isabel Valera
Distilling Information Reliability and Source Trustworthiness from Digital Traces. 847-855 - Srijan Kumar, Justin Cheng, Jure Leskovec, V. S. Subrahmanian:
An Army of Me: Sockpuppets in Online Discussion Communities. 857-866
5C: Security 2
- Chaoshun Zuo, Zhiqiang Lin:
SMARTGEN: Exposing Server URLs of Mobile Apps With Selective Symbolic Execution. 867-876 - Dolière Francis Somé
On the Content Security Policy Violations due to the Same-Origin Policy. 877-886 - Adam Bates
Transparent Web Service Auditing via Network Provenance Functions. 887-895 - Kyungtae Kim, I Luk Kim, Chung Hwan Kim
J-Force: Forced Execution on JavaScript. 897-906
5D: User Modeling 1
- Zheqian Chen, Ben Gao, Huimin Zhang, Zhou Zhao, Haifeng Liu, Deng Cai:
User Personalized Satisfaction Prediction via Multiple Instance Deep Learning. 907-915 - Dimitar Dimitrov, Philipp Singer, Florian Lemmerich, Markus Strohmaier:
What Makes a Link Successful on Wikipedia? 917-926 - Jack Hessel, Lillian Lee
Cats and Captions vs. Creators and the Clock: Comparing Multimodal Content to Context in Predicting Relative Popularity. 927-936 - Lin Gong
Clustered Model Adaption for Personalized Sentiment Analysis. 937-946
5G: Social 2
- Takanori Maehara, Hirofumi Suzuki
Exact Computation of Influence Spread by Binary Decision Diagrams. 947-956 - Gilad Asharov
Secure Centrality Computation Over Multiple Networks. 957-966 - Wei Chen
Interplay between Social Influence and Network Centrality: A Comparative Study on Shapley Centrality and Single-Node-Influence Centrality. 967-976 - Naoto Ohsaka
Portfolio Optimization for Influence Spread. 977-985
5H: Information Extraction
- Ido Guy, Avihai Mejer, Alexander Nus, Fiana Raiber:
Extracting and Ranking Travel Tips from User-Generated Reviews. 987-996 - Mayank Kejriwal, Pedro A. Szekely
Information Extraction in Illicit Web Domains. 997-1006 - Alexander Konovalov, Benjamin Strauss, Alan Ritter, Brendan O'Connor:
Learning to Extract Events from Knowledge Base Revisions. 1007-1014 - Xiang Ren, Zeqiu Wu, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Tarek F. Abdelzaher, Jiawei Han:
CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases. 1015-1024
6B: Machine Learning
- Nate Veldt, Anthony Ian Wirth, David F. Gleich
Correlation Clustering with Low-Rank Matrices. 1025-1034 - Wei Wu, Bin Li, Ling Chen
Consistent Weighted Sampling Made More Practical. 1035-1043 - Jan Deriu
Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification. 1045-1052 - Ping Li, Cun-Hui Zhang:
Theory of the GMM Kernel. 1053-1062
6C: Spam Detection
- Huayi Li, Geli Fei, Shuai Wang, Bing Liu, Weixiang Shao, Arjun Mukherjee, Jidong Shao:
Bimodal Distribution and Co-Bursting in Review Spam Detection. 1063-1072 - Yuli Liu, Yiqun Liu, Ke Zhou, Min Zhang, Shaoping Ma:
Detecting Collusive Spamming Activities in Community Question Answering. 1073-1082 - Neil Shah:
FLOCK: Combating Astroturfing on Livestreaming Platforms. 1083-1091 - David Mandell Freeman:
Can You Spot the Fakes?: On the Limitations of User Feedback in Online Social Networks. 1093-1102
6D: User Modeling 2
- Mengting Wan, Di Wang, Matthew Goldman, Matt Taddy, Justin Rao, Jie Liu, Dimitrios Lymberopoulos, Julian J. McAuley
Modeling Consumer Preferences and Price Sensitivities from Large-Scale Grocery Shopping Transaction Logs. 1103-1112 - Chanyoung Park, Donghyun Kim
Do "Also-Viewed" Products Help User Rating Prediction? 1113-1122 - Ying-Chun Lin, Chi-Hsuan Huang, Chu-Cheng Hsieh, Yu-Chen Shu, Kun-Ta Chuang:
Monetary Discount Strategies for Real-Time Promotion Campaign. 1123-1132 - Chao-Yuan Wu, Amr Ahmed, Gowtham Ramani Kumar, Ritendra Datta:
Predicting Latent Structured Intents from Shopping Queries. 1133-1141
6G: Social 3
- Zhengxing Chen, Su Xue, John Kolen, Navid Aghdaie, Kazi A. Zaman, Yizhou Sun, Magy Seif El-Nasr:
EOMM: An Engagement Optimized Matchmaking Framework. 1143-1150 - Brunella Spinelli, L. Elisa Celis, Patrick Thiran:
Back To The Source: An Online Approach for Sensor Placement and Source Localization. 1151-1160 - Enrico Mariconti
What's in a Name?: Understanding Profile Name Reuse on Twitter. 1161-1170 - Muhammad Bilal Zafar, Isabel Valera
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment. 1171-1180 - Claudia Wagner, Philipp Singer, Fariba Karimi, Jürgen Pfeffer, Markus Strohmaier:
Sampling from Social Networks with Attributes. 1181-1190
6H: Question Answering and Topic Modeling
- Abdalghani Abujabal, Mohamed Yahya, Mirek Riedewald, Gerhard Weikum:
Automated Template Generation for Question Answering over Knowledge Graphs. 1191-1200 - Long Chen, Joemon M. Jose, Haitao Yu, Fajie Yuan:
A Semantic Graph-Based Approach for Mining Common Topics from Multiple Asynchronous Text Streams. 1201-1209 - Denis Lukovnikov, Asja Fischer
Neural Network-based Question Answering over Knowledge Graphs on Word and Character Level. 1211-1220 - Wei Emma Zhang
Detecting Duplicate Posts in Programming QA Communities via Latent Semantics and Association Rules. 1221-1229
7B: Privacy 1
- Camille Cobb, Tadayoshi Kohno:
How Public Is My Private Life?: Privacy in Online Dating. 1231-1240 - Fengli Xu, Zhen Tu, Yong Li, Pengyu Zhang, Xiaoming Fu
Trajectory Recovery From Ash: User Privacy Is NOT Preserved in Aggregated Mobility Data. 1241-1250 - Iskander Sánchez-Rola, Davide Balzarotti, Igor Santos:
The Onions Have Eyes: A Comprehensive Structure and Privacy Analysis of Tor Hidden Services. 1251-1260 - Jessica Su, Ansh Shukla, Sharad Goel, Arvind Narayanan:
De-anonymizing Web Browsing Data with Social Networks. 1261-1269
7C: Web Search
- Chenyan Xiong, Russell Power, Jamie Callan:
Explicit Semantic Ranking for Academic Search via Knowledge Graph Embedding. 1271-1279 - Sourav Dutta
Neighbor-Aware Search for Approximate Labeled Graph Matching using the Chi-Square Statistics. 1281-1290 - Bhaskar Mitra, Fernando Diaz, Nick Craswell:
Learning to Match using Local and Distributed Representations of Text for Web Search. 1291-1299 - Alexey Drutsa, Gleb Gusev, Pavel Serdyukov:
Using the Delay in a Treatment Effect to Improve Sensitivity and Preserve Directionality of Engagement Metrics in A/B Experiments. 1301-1310
7D: User Modeling 3
- Qian Zhao, Yue Shi, Liangjie Hong:
GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees. 1311-1319 - Jun Hu, Ping Li:
Decoupled Collaborative Ranking. 1321-1329 - Avradeep Bhowmik, Joydeep Ghosh:
LETOR Methods for Unsupervised Rank Aggregation. 1331-1340 - Immanuel Bayer, Xiangnan He, Bhargav Kanagal, Steffen Rendle:
A Generic Coordinate Descent Framework for Learning from Implicit Feedback. 1341-1350
7G: Social 4
- Roy Ka-Wei Lee
On Analyzing User Topic-Specific Platform Preferences Across Multiple Social Media Sites. 1351-1359 - Rahmtin Rotabi, Cristian Danescu-Niculescu-Mizil, Jon M. Kleinberg:
Competition and Selection Among Conventions. 1361-1370 - George Berry, Sean J. Taylor:
Discussion Quality Diffuses in the Digital Public Square. 1371-1380 - Liye Fu, Lillian Lee
When Confidence and Competence Collide: Effects on Online Decision-Making Discussions. 1381-1390
7H: Web Mining
- Ellery Wulczyn, Nithum Thain, Lucas Dixon:
Ex Machina: Personal Attacks Seen at Scale. 1391-1399 - Dominik Kowald
Temporal Effects on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach. 1401-1410 - Sihem Amer-Yahia, Sofia Kleisarchaki, Naresh Kumar Kolloju, Laks V. S. Lakshmanan, Ruben H. Zamar:
Exploring Rated Datasets with Rating Maps. 1411-1419 - Charalampos Mavroforakis, Isabel Valera
Modeling the Dynamics of Learning Activity on the Web. 1421-1430
7I: Graph Algorithms
- Ali Pinar, C. Seshadhri, Vaidyanathan Vishal:
ESCAPE: Efficiently Counting All 5-Vertex Subgraphs. 1431-1440 - Priya Govindan, Chenghong Wang, Chumeng Xu, Hongyu Duan, Sucheta Soundarajan:
The k-peak Decomposition: Mapping the Global Structure of Graphs. 1441-1450 - Charalampos E. Tsourakakis
Scalable Motif-aware Graph Clustering. 1451-1460 - Aaron Archer, Silvio Lattanzi, Peter Likarish, Sergei Vassilvitskii:
Indexing Public-Private Graphs. 1461-1470
8B: Privacy 2
- Danny Yuxing Huang, Doug Grundman, Kurt Thomas, Abhishek Kumar, Elie Bursztein, Kirill Levchenko, Alex C. Snoeren:
Pinning Down Abuse on Google Maps. 1471-1479 - Oleksii Starov, Nick Nikiforakis:
Extended Tracking Powers: Measuring the Privacy Diffusion Enabled by Browser Extensions. 1481-1490 - Li Chang, Hsu-Chun Hsiao, Wei Jeng, Tiffany Hyun-Jin Kim, Wei-Hsi Lin:
Security Implications of Redirection Trail in Popular Websites Worldwide. 1491-1500 - Milijana Surbatovich
Some Recipes Can Do More Than Spoil Your Appetite: Analyzing the Security and Privacy Risks of IFTTT Recipes. 1501-1510
8C: Email and Personal Search
- Qingyao Ai
Characterizing Email Search using Large-scale Behavioral Logs and Surveys. 1511-1520 - Julia Proskurnia, Marc-Allen Cartright, Lluis Garcia Pueyo, Ivo Krka, James B. Wendt
Template Induction over Unstructured Email Corpora. 1521-1530 - Hamed Zamani, Michael Bendersky, Xuanhui Wang, Mingyang Zhang:
Situational Context for Ranking in Personal Search. 1531-1540 - David Carmel, Liane Lewin-Eytan, Alex Libov, Yoelle Maarek, Ariel Raviv:
The Demographics of Mail Search and their Application to Query Suggestion. 1541-1549 - David Carmel, Liane Lewin-Eytan, Alex Libov, Yoelle Maarek, Ariel Raviv:
Promoting Relevant Results in Time-Ranked Mail Search. 1551-1559
8D: User Modeling 4
- Jinyuan Jia, Binghui Wang, Le Zhang, Neil Zhenqiang Gong:
AttriInfer: Inferring User Attributes in Online Social Networks Using Markov Random Fields. 1561-1569 - Ajaya Neupane, Nitesh Saxena, Leanne M. Hirshfield
Neural Underpinnings of Website Legitimacy and Familiarity Detection: An fNIRS Study. 1571-1580 - Sungchul Kim, Nikhil Kini, Jay Pujara, Eunyee Koh, Lise Getoor:
Probabilistic Visitor Stitching on Cross-Device Web Logs. 1581-1589 - Philipp Singer, Florian Lemmerich, Robert West, Leila Zia, Ellery Wulczyn, Markus Strohmaier, Jure Leskovec:
Why We Read Wikipedia. 1591-1600
8G: Social 5
- Xin Wang, Steven C. H. Hoi, Martin Ester, Jiajun Bu, Chun Chen:
Learning Personalized Preference of Strong and Weak Ties for Social Recommendation. 1601-1610 - Xiaokai Wei, Linchuan Xu
Cross View Link Prediction by Learning Noise-resilient Representation Consensus. 1611-1619 - Xiang Li, Yao Wu, Martin Ester, Ben Kao, Xin Wang, Yudian Zheng:
Semi-supervised Clustering in Attributed Heterogeneous Information Networks. 1621-1629 - Minglai Shao, Jianxin Li, Feng Chen, Hongyi Huang, Shuai Zhang
An Efficient Approach to Event Detection and Forecasting in Dynamic Multivariate Social Media Networks. 1631-1639
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