1
Palash Nandy: Online fraud prevention using genetic algorithm solution. eBay, Schwegman Lundberg & Woessner P A, February 2, 2010: US07657497 (23 worldwide citation)

Online fraud prevention including receiving a rules set to detect fraud, mapping the rules set to a data set, mapping success data to members of the rules set, filtering the members of the rules set, and ordering members of the data set by giving priority to those members of the data set with a grea ...


2
Palash Nandy: Detection of chain-letters in user-generated comments for websites. Google, Fenwick & West, December 6, 2011: US08073915 (8 worldwide citation)

Chain-letters within user-generated comments on a website are detected based on an inserted watermark. Comments identified as likely chain-letters are rendered for display with the inserted watermark. When a user propagates a chain-letter by copying and pasting a comment already rendered on the webs ...


3
Palash Nandy: Online fraud prevention using genetic algorithm solution. eBay, Schwegman Lundberg & Woessner P A, November 27, 2012: US08321341 (5 worldwide citation)

Online fraud prevention including receiving a rules set to detect fraud, mapping the rules set to a data set, mapping success data to members of the rules set, filtering the members of the rules set, and ordering members of the data set by giving priority to those members of the data set with a grea ...


4
Palash Nandy: Online fraud prevention using genetic algorithm solution. eBay, Schwegman Lundberg & Woessner P A, November 23, 2010: US07840520 (4 worldwide citation)

Online fraud prevention including receiving a rules set to detect fraud, mapping the rules set to a data set, mapping success data to members of the rules set, filtering the members of the rules set, and ordering members of the data set by giving priority to those members of the data set with a grea ...


5
Benjamin Liebald, Palash Nandy, Dasarathi Sampath, Junning Liu, Ye Niu, Christina Ilvento, Yu To Chen: Recommendations based on topic clusters. Google, Fenwick & West, November 19, 2013: US08589434 (2 worldwide citation)

A system and method for developing a user's profile based on the user's interaction with content items. A module on the client rendering the content items or the service including the content items tracks the user's interactions with the content items and transmits the tracked data to a user analysi ...


6
Benjamin Liebald, Palash Nandy, Jamie Davidson, Christina Ilvento: Topic based user profiles. Google, Fenwick & West, April 1, 2014: US08688706 (2 worldwide citation)

A system and method for developing a user's profile based on the user's interaction with content items. A module on the client rendering the content items or the service including the content items tracks the user's interactions with the content items and transmits the tracked data to a user analysi ...


7
PALASH NANDY: Targeting advertisements to videos predicted to develop a large audience. GOOGLE, Brownstone Daniel R, November 4, 2010: WO/2010/127150 (2 worldwide citation)

Advertisers target their advertisements to videos that, although not yet popular, are predicted to become popular in the near future. A video's popularity is measured by a number of users that have added the video to their list of favorite videos. A statistical model is formed to predict a video's f ...


8
Benjamin Liebald, Palash Nandy, Dasarathi Sampath, Ye Niu, Jamie Davidson, Christina Ilvento, Patrick Hung: Updating personal content streams based on feedback. Google, Fenwick & West, March 1, 2016: US09275001 (1 worldwide citation)

A personal content stream comprising a plurality of videos is generated for a user. The user selects topics used in the generation of a personal content stream. The plurality of user selected topics is expanded to include topics related to one or more of the user selected topics. Each of the topics ...


9
Benjamin Liebald, Palash Nandy, Dasarathi Sampath, Ye Niu, Jamie Davidson, Christina Ilvento, Patrick Hung: Personal content streams based on user-topic profiles. Google, Fenwick & West, September 30, 2014: US08849958 (1 worldwide citation)

A personal content stream comprising a plurality of videos is generated for a user. The user selects topics used in the generation of a personal content stream. The plurality of user selected topics is expanded to include topics related to one or more of the user selected topics. Each of the topics ...


10
Benjamin Liebald, Palash Nandy, Dasarathi Sampath, Ye Niu, Jamie Davidson, Christina Ilvento, Patrick Hung: Personal content streams based on user-topic profiles. Google, Fenwick & West, April 19, 2016: US09317468

A personal content stream comprising a plurality of videos is generated for a user. The user selects topics used in the generation of a personal content stream. The plurality of user selected topics is expanded to include topics related to one or more of the user selected topics. Each of the topics ...