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Internet Services Research Center (ISRC)

The Internet Services Research Center (ISRC) is a specialized research group, focusing on all aspects of internet services. We see applications moving to the cloud, with Web search posing deep technical challenges, and with mobility, social networks, data mining, and system structures seeing huge changes. We work to accelerate innovations in search and ad technologies, and partner with other parts of Microsoft to rapidly deliver them to our search products, customers, and advertisers.

Featured Projects:

Microsoft Web N-gram Services

In partnership with Bing, we invite the whole community to use the Web N-gram services.  Access petabytes of data via a cloud-based platform to drive discovery and innovation in web search, natural language processing, speech, and related areas.  Take advantage of real-world web-scale data, with regular data updates for projects that benefit from dynamic data. 

People
Alex D.  Wade
Alex D. Wade

Bo-June (Paul) Hsu
Bo-June (Paul) Hsu

Hao Ma
Hao Ma

JJ (Jingjing) Liu
JJ (Jingjing) Liu

Kuansan Wang
Kuansan Wang

Nikolas Gloy
Nikolas Gloy

Ricky Loynd
Ricky Loynd

Yang Song
Yang Song

Yuanhua Lv
Yuanhua Lv

Iris Shen
Iris Shen

Chieh-Han Wu
Chieh-Han Wu

Darrin Eide
Darrin Eide

Arnab Sinha
Arnab Sinha

Charles Huang
Charles Huang

Recent Publications

  • Ali Mamdouh Elkahky, Yang Song, and Xiaodong He, A Multi-View Deep Learning Approach for User Modeling in Recommendation Systems, to appear in WWW 2015, Florence, Italy, May, 2015.
  • Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June (Paul) Hsu, and Kuansan Wang, An Overview of Microsoft Academic Service (MAS) and Applications, to appear in WWW 2015, Florence, Italy, May, 2015. (Demo)
  • Huan Sun, Hao Ma, Wen-Tau Yih, Chen-Tse Tsai, Jingjing Liu, and Ming-Wei Chang, Open Domain Question Answering via Semantic Enrichment, to appear in WWW 2015, Florence, Italy, May, 2015.
  • Bin Bi, Hao Ma, Paul Hsu, Wei Chu, Kuansan Wang, and Junghoo Cho, Learning to Recommend Related Entities to Search Users, in WSDM 2015, Shanghai, China, February, 2015.
  • Zhaohui Wu, Yuanhua Lv, and Ariel Fuxman, Searching Locally-Defined Entities, in CIKM 2014, Shanghai, China, November, 2014.
  • Hao Ma, On Measuring Social Friend Interest Similarities in Recommender Systems, in SIGIR 2014, Gold Coast, Australia, July, 2014.
  • Yang Song, Xiaolin Shi, Ryen White, and Ahmed Hassan, Context-Aware Web Search Abandonment Prediction, in SIGIR 2014, Gold Coast, Australia, July, 2014.
  • Hongning Wang, Yang Song, Ming-Wei Chang, Xiaodong He, Ahmed Hassan, and Ryen White, Modeling Action-level Satisfaction for Search Task Satisfaction Prediction, in SIGIR 2014, Gold Coast, Australia, July, 2014.
  • Yang Song, Weiwei Cui, Shixia Liu, and Kuansan Wang, Online Behavioral Genome Sequencing from Usage Logs: Decoding the Search Behaviors, in WWW 2014, Seoul, Korea, April, 2014.(Demo)
  • Ming-Wei Chang, Bo-June Hsu, Hao Ma, Ricky Loynd, Kuansan Wang. E2E: An End-to-end Entity Linking System for Short and Noisy Text, in #Microposts2014 NEEL Challenge, WWW 2014, Seoul, Korea, April, 2014.
  • Yuzhe Jin, Emre Kıcıman, Kuansan Wang, and Ricky Loynd, Entity Linking at the Tail: Sparse Signals, Unknown Entities and Phrase Models, in WSDM 2014,  New York City, NY, USA, February 2014.
  • Yang Song, Hongning Wang, and Xiaodong He, Adapting Deep RankNet for Personalized Search, in WSDM 2014, New York City, NY, USA, February 2014.
  • Xiao Yu, Hao Ma, Paul Hsu and Jiawei Han, On Building Entity Recommender Systems Using User Click Log and Freebase Knowledge, in WSDM 2014, New York City, NY, USA, February 2014.
Tutorials
Invited Talks