Contextlogic, Inc.

Yahoo! Inc.

Allergan, Inc.

Jack Z Xie

Piotr Szulczewski

Yuli Ye

Danny S Zhang

Tarek Fahmy

Sheng Zhang

Terrence J Hunt

Darshan Vishwanath Kantak

Michael Schwarz

R Preston McAfee

Sai-Ming Li

Huong T Tran

Harish P Kumar

Gopal Dasari

Don Mathewson

Ananda Seneviratne

Alex Praseuth

Harish Pm Kumar

A method for ranking items may include determining a purchaseability score for each item of a specified type based on a number of impressions of the respective item provided to users during a time period, a quantity of the respective item purchased by the users, and a quantity of the respective item added to shopping carts of the users. The method may further include ranking the items based on the purchaseability scores, generating item feed data indicating an ordering of the items based on the rankings, and providing the item feed data to a user device. The user's device may display a scrollable feed of item panels corresponding to the items, with the item panels ordered according to the ordering of the corresponding items.

Systems and techniques for ranking items

Techniques to provide contextual content are disclosed. In various embodiments, a set of topics inferred programmatically from a corpus of raw content data is obtained. An input is received. A topic with which the input is associated is determined, based at least in part on the input and the set of topics. A contextual content associated with the topic is provided.

Topic inference based contextual content

Systems and techniques for ranking items on a scrollable feed using a hybrid user interface

Disclosed are apparatus and methods for apparatus and methods for pricing on-line advertisement inventory. In one embodiment, a method for pricing on-line advertisement inventory includes (i) receiving a request for a price of a new product, wherein the new product includes a plurality of specified characteristics of a type of on-line advertisement display, (ii) providing a sample of new impressions that are predicted to be delivered for such new product, (iii) for each new impression, determining which bookings could be served by such new impression so as to define a set of overlapping bookings, (iv) determining the price of each new impression based on a weighted average of a plurality of prices of such each new impression's corresponding overlapping bookings, (v) determining the price of the new product based on an average of the prices of the new impressions, and (vi) returning the price of the new product for use in a booking negotiation with a potential buyer of such new product.

Estimating on-line advertising inventory value based on contract eligibility information

Growing community of inventors

San Francisco, CA, United States of America

Jack Z Xie