Kayak Software Corporation

Open Ratings Inc.

Giorgos C Zacharia

Paul M English

Lincoln D Jackson

Paul D Schwenk

Jeff A Rago

Dmitry Tkach

Derek M Young

Kosmas Karadimitriou

Vinayak Ranade

Travis M Gebhardt

Trevor Glenn Elkins

Rebecca Chen

Kaijian Gao

Lauren Anne Ko

Jacob Vincent Bouvrie

Snehal Patel

Eric Miozza

Michele Alberti

Gabriel Pelaez

Disclosed are methods, systems, and computer-readable medium to perform operations including: receiving a query specifying one or more criteria for a travel reservation, transmitting, over a network, one or more requests for live travel data satisfying the one or more criteria, determining one or more query results that satisfy the one or more criteria, retrieving cached travel data for at least one of the one or more query results, and while responses to the one or more requests for live travel data are still being received over the network, generating, using a prediction engine, live travel data predictions for the one or more query results based at least in part on the cached travel data.

Reducing latency in query-based search engines

Approaches to improving mixture queries and booking split stays are described herein. According to some aspects, a user utilizes an exploration tool to search for available lodging. A mixture query is generated based on the stay information received from the user and potential split stays are identified and presented to the user. In some aspects, the split stays are identified based on user-specified split stay criteria, search results are obtained from a local database of 'live' pricing and availability information, and a selected split stay option is booked on behalf of the user. Example split stay criteria includes criteria pertaining to an amenity or characteristic of the available lodgings or the available rooms.

Mixture queries for search engine portals

Systems and methods for object measurement in accordance with aspects of the disclosure are described. One embodiment of the invention includes a system including a processor, a memory in communication with the processor, an input device, and an image capture device, wherein the processor obtains image data using the image capture device in response to input received from the input device indicating that image data should be captured, identifies a set of feature points within the obtained image data, completes the obtaining of the image data based on the set of feature points identified and in response to input received from the input device indicating that image data should no longer be captured, generates a model based on the set of feature points, measures the generated model with respect to a reference plane, and provides an indication of the measured size of the generated model.

Systems and methods for object measurement

A travel search engine enables a user to share his or her search results with one or more other users in real time. Each of the users has a common set of search results and any user can select share a specific result within the common set. The remaining results in the common set can be independently filtered and sorted. By selectively sharing various ones of the search results, while being able to separately manipulate the remaining search results, users have access to a common set of potentially mutually acceptable results, but can still individually explore the search results by filtering along different criteria.

Sharing and collaboration of search results in a travel search engine

According to some aspects, a system is provided comprising at least one computer readable storage medium storing a cache of flight information comprising a plurality of flight solutions, the cache capable of being accessed to obtain flight solutions that meet a criteria specified in one or more flight search queries, and at least one computer programmed to apply at least one machine learning model to at least some of the flight information in the flight information cache to classify at least one of the plurality of flight solutions according to an assessed fidelity of the at least one flight solution, and perform at least one action based on the classified at least one flight solution.

Flight caching methods and apparatus

A method and system for ascribing a reputation of an entity as a rater of other entities is provided. A first rating indicative of a rating of a rated entity by the first entity, and one or more second ratings, each second rating indicative of a rating of the rated entity provided by another entity, are provided. The second ratings are combined to produce a first combined rating. The first rating is compared to the first combined rating to produce a first rating predictability of the first rating, the first rating predictability being a negative function of a magnitude of a difference between the first rating and the first combined rating. A resulting rater reputation is generated based at least in part on the first rating predictability.

Method and system for ascribing a reputation to an entity as a rater of other entities

A personalized ratee reputation of a first entity from the perspective of a second entity is determined. The second entity is connected by one or more rating paths to the first entity. A breadth-first search is performed, beginning at the second entity, to determine, from the one or more rating paths, one or more first rating paths that have a first length equal to a shortest length between the first entity and the second entity. For each determined first rating path, a third entity on the first rating path that has a level equal to one less than the first length is identified. For each identified third entity, a first rating of the first entity provided by the third entity determined, and the first ratings are combined. The personalized ratee reputation is then produced by weighting the combined first ratings by an amount according to the first length.

Method and system for ascribing a reputation to an entity from the perspective of another entity

A method and system for determining a ratee reputation of an entity based at least in part on the rater reputation of one or more of the entities that have rated the rated entity. A ratee reputation of a first entity is determined. A first rating of the first entity by a second entity is received. One or more rater reputations including a first rater reputation of the second entity as a qualitative rater of other entities are accessed, and a ratee reputation of the first entity is generated by combining the one or more rater reputations and the first rating.

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Winchester, MA, United States of America

Giorgos C Zacharia