[ACM Press the 19th international conference - Raleigh, North Carolina, USA (2010.04.26-2010.04.30)] Proceedings of the 19th international conference on World wide web - WWW '10 - Anonymizing user profiles for personalized web search

[ACM Press the 19th international confer

✍ Zhu, Yun; Xiong, Li; Verdery, Christopher 📂 Article 📅 2010 🏛 ACM Press 🌐 English ⚖ 443 KB

We study the problem of anonymizing user profiles so that user privacy is sufficiently protected while the anonymized profiles are still effective in enabling personalized web search. We propose a Bayes-optimal privacy notion to bound the prior and posterior probability of associating a user with an

[ACM Press the 19th international confer

[ACM Press the 19th international conference - Raleigh, North Carolina, USA (2010.04.26-2010.04.30)] Proceedings of the 19th international conference on World wide web - WWW '10 - PageSense

✍ Li, Lusong; Mei, Tao; Niu, Xiang; Ngo, Chong-Wah 📂 Article 📅 2010 🏛 ACM Press ⚖ 484 KB

[ACM Press the 19th international confer

[ACM Press the 19th international conference - Raleigh, North Carolina, USA (2010.04.26-2010.04.30)] Proceedings of the 19th international conference on World wide web - WWW '10 - SourceRank

✍ Balakrishnan, Raju; Kambhampati, Subbarao 📂 Article 📅 2010 🏛 ACM Press ⚖ 365 KB

[ACM Press the 19th international confer

[ACM Press the 19th international conference - Raleigh, North Carolina, USA (2010.04.26-2010.04.30)] Proceedings of the 19th international conference on World wide web - WWW '10 - CETR

✍ Weninger, Tim; Hsu, William H.; Han, Jiawei 📂 Article 📅 2010 🏛 ACM Press ⚖ 588 KB

[ACM Press the 19th international confer

[ACM Press the 19th international conference - Raleigh, North Carolina, USA (2010.04.26-2010.04.30)] Proceedings of the 19th international conference on World wide web - WWW '10 - Web-scale k-means clustering

✍ Sculley, D. 📂 Article 📅 2010 🏛 ACM Press ⚖ 265 KB

[ACM Press the 19th international confer

[ACM Press the 19th international conference - Raleigh, North Carolina, USA (2010.04.26-2010.04.30)] Proceedings of the 19th international conference on World wide web - WWW '10 - Web-scale k-means clustering

✍ Sculley, D. 📂 Article 📅 2010 🏛 ACM Press 🌐 English ⚖ 265 KB

We present two modifications to the popular k-means clustering algorithm to address the extreme requirements for latency, scalability, and sparsity encountered in user-facing web applications. First, we propose the use of mini-batch optimization for k-means clustering. This reduces computation cost