公开(公告)号：US20190266211A1

公开(公告)日：2019-08-29

申请号：US16411751

申请日：2019-05-14

Applicant: Yahoo! Inc.

Inventor： Ben Watson

IPC: G06F16/958 ,  G06F16/951

Abstract: A system for managing tags on a web page is disclosed. Tags are managed by implementing primary and secondary tags. The secondary tags are aggregated to provide network and tag management efficiency.

公开(公告)号：US10204128B2

公开(公告)日：2019-02-12

申请号：US14096944

申请日：2013-12-04

Applicant: Yahoo! Inc.

Inventor： Aravindan Raghuveer ,  Syama Prasad Suprasadachandranpillai ,  Tom Praison Rajadurai A ,  Amit Kumar ,  Rahul Singh ,  Gaurav Sindhwani ,  Souri Nath Datta ,  Hemant Minocha ,  Satish Mummareddy

IPC: G06F17/30

Abstract: Methods and systems for detecting expiration time of an article include receiving the article for a pre-planned event. The article is analyzed to identify one or more attributes. The article is matched to an event identifier using the article attributes. The event identifier is pre-defined and stored in an event database. The event identifier acts as an index to the event database for obtaining event characteristics of the pre-planned event. The article attributes are examined to identify event phase indicators that correlate to a specific event phase of the pre-planned event. The expiration time of the article is computed based on the specific event phase identified for the pre-planned event. The expiration time is used to rank the article and for considering assigning the article to a content pool of articles that is selected for publishing for the specific event phase of the pre-planned event.

公开(公告)号：US10162692B2

公开(公告)日：2018-12-25

申请号：US14444821

申请日：2014-07-28

Applicant: Yahoo! Inc.

Inventor： Brian Bouta ,  Frank Teoh ,  Shivakumar Ningappa

IPC: G06F11/07 ,  G06F11/30

Abstract: In one embodiment, data received from one or more streaming data sources may be monitored by one or more devices. A rate of change in flow of the data received from the one or more streaming data sources may be ascertained. It may be determined whether the rate of change in flow of the data received from the one or more streaming data sources exceeds a threshold rate. Transmission of an alert may be initiated according to a result of determining whether the rate of change in the flow of the data received from the one or more streaming data sources exceeds the threshold rate.

公开(公告)号：US10146872B2

公开(公告)日：2018-12-04

申请号：US14332501

申请日：2014-07-16

Applicant: Yahoo! Inc.

Inventor： David Carmel ,  Ran Wolff

IPC: G06F17/30

Abstract: Methods, systems and programming for predicting search results quality. In one example, a search query is received from a user. A plurality of search results are obtained from a content source based on the search query. The plurality of search results are ranked based on their relevance scores with respect to the search query. A distribution of the relevance scores of the plurality of search results is normalized in each position of the ranking. A metric of the content source is computed based on the normalized distribution of the relevance scores. The metric indicates a relevance between the plurality of search results and the search query.

公开(公告)号：US10104025B2

公开(公告)日：2018-10-16

申请号：US15161672

申请日：2016-05-23

Applicant: Yahoo!, Inc.

Inventor： Cédric Beust

IPC: H04L12/58 ,  H04L29/08 ,  H04L29/06

Abstract: One or more computing devices, systems, and/or methods for hosting virtual chat rooms of a chat room are provided. For example, users (e.g., 3,000 users) may access video interfaces, hosting a video, and chat room interfaces associated with a chat room for the video (e.g., users may access a news website providing a live stream of a current event along with a chat room for discussing the live stream). Signals of the users (e.g., a user location, age, account profile information, prior chat room message behavior, etc.) are evaluated to identify user properties (e.g., the user is an active participant within chat rooms). The chat room may be sharded into a set of virtual chat rooms into which users are assigned based upon the user properties (e.g., 300 virtual chat rooms of 100 users each). In this way, users may have more meaningful interactions within the smaller virtual chat rooms.

公开(公告)号：US20180285774A1

公开(公告)日：2018-10-04

申请号：US15476685

申请日：2017-03-31

Applicant: Yahoo! Inc.

Inventor： Akshay Soni ,  Yashar Mehdad ,  Troy Chevalier

IPC: G06N99/00 ,  G06F17/30 ,  G06Q50/00

Abstract: A method is provided, including: processing interactions by a plurality of users with a plurality of content items, the content items being provided over a network in response to user requests received over the network, wherein each content item is associated with one or more entities; for each user, determining a user entity set that includes entities associated with content items with which the user interacted; embedding the users and the entities in a vector space, wherein the embedding is configured to place a given user, and the entities of the given user's user entity set, in proximity to each other in the vector space; for each user, performing a proximity search in the vector space to identify a set of nearest entities to the user in the vector space; for each user, generating a user profile using the identified set of nearest entities to the user.

公开(公告)号：US20180285459A1

公开(公告)日：2018-10-04

申请号：US15471455

申请日：2017-03-28

Applicant: Yahoo! Inc.

Inventor： Akshay Soni ,  Yashar Mehdad ,  Aasish Pappu ,  Vivek Kulkarni ,  Sheng Chen

IPC: G06F17/30 ,  G06N5/02

Abstract: A method implemented by at least one server computer is provided, including the following operations: receiving a plurality of training documents, each training document being defined by a sequence of words, each training document having one or more labels associated therewith; embedding the training documents, the words, and the labels in a vector space, wherein the embedding is configured to locate a given training document and its associated labels in proximity to each other in the vector space; embedding a new document in the vector space; performing a proximity search in the vector space to identify a set of nearest labels to the new document in the vector space; associating the nearest labels to the new document.

公开(公告)号：US10055506B2

公开(公告)日：2018-08-21

申请号：US14218818

申请日：2014-03-18

Applicant: Yahoo! Inc.

Inventor： Lee Rhodes

IPC: G06F17/30

CPC classification number: G06F16/958

Abstract: Techniques are provided for improving the accuracy of analytics on big data using sketches and fixed-size buckets. In a technique for enhancing a unique count (cardinality) estimate of a large data set, a request for a cardinality estimate for the large data set is received. An initial cardinality estimate is determined using a sketch or a fixed-size bucket. If the initial cardinality estimate is within a range where the initial estimate could be further enhanced, the initial estimate is used for a lookup into a lookup table. Based on retrieved values from the lookup table and the initial estimate, an enhanced cardinality estimate is calculated.

公开(公告)号：US20180219814A1

公开(公告)日：2018-08-02

申请号：US15421033

申请日：2017-01-31

Applicant: Yahoo! Inc.

Inventor： Yoelle Maarek ,  Ido Guy ,  Dan Pelleg ,  Idan Szpektor ,  Alexander Nus ,  Jeffrey Bonforte

IPC: H04L12/58 ,  G06F17/30 ,  G06T7/90 ,  G06K9/62 ,  G06K9/46

CPC classification number: H04L51/08 ,  G06F16/583 ,  G06K9/00677 ,  G06Q50/01 ,  H04L51/10

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosure provides a novel, computerized framework for automatically identifying and recommending socially-engaging photos to their creators for sharing. Execution of the disclosed systems and methods turns a tedious manual chore into an automated, software-driven process. The disclosed systems and methods utilizes a novel, computerized learn-to-rank (LTR) algorithm for identifying the most engaging, socially driven photos by: (a) grouping near-duplicate photos; (b) selecting a representative photo for sharing per group; and (c) ranking of the groups by their likelihood to contain a “shareable” photo.

公开(公告)号：US10032185B2

公开(公告)日：2018-07-24

申请号：US13891904

申请日：2013-05-10

Applicant: Yahoo! Inc.

Inventor： Allie K. Watfa ,  Dale Nussel ,  Mangesh Pardeshi ,  Jonathan Kilroy

IPC: G06Q30/00 ,  G06Q30/02

Abstract: Techniques are provided in which the current price of a commodity purchased from a seller by a buyer with a price guarantee policy is monitored. Upon detection of the current price dropping below the purchase price, the buyer and seller are notified, leading to a rebate being provided to the buyer from the seller to be redeemed based on the terms of the price guarantee policy. In some embodiments, buyers are offered incentives, such as a discounted price, in exchange for a reduced time period within which a price guarantee policy is redeemable.