Google Inc.

Nextdoor Co., Ltd

Daniel Joseph Clancy

Xuefu Wang

David E Foulser

Kun Zhang

Yu He

Cristos Jon Goodrow

Nirav N Tolia

Eugene Ie

Andrew Stephen Tomkins

Alexander Johannes Smola

Ryan Sims

Rishi Mukhopadhyay

Daniel Wyatt

Paul Howe

Amr Ahmed

Sean Christopher Bromage

Morgan Hallmon

Aaron Webber

Kevin Liu

Daniel Masquelier

Thomas Donahoe

Thomas F Kaehler

Gregory James

Martin Zinkevich

Clifton Ray Williams

Methods and apparatus related to determining an activity of a user based on sensor readings from sensor(s), and providing, for presentation to the user via a user interface output of a computing device of the user, information that is based on the determined activity. In some implementations, the information may be provided in response to input entered by the user via a user interface input device of the computing device of the user. In some implementations, the input may be a search query and the information may be search results. In some implementations, the input may be a partial query and the information may be query suggestions.

Providing query suggestions and/or search results based on determined user activity

A system and method for generating a recommendation counter for a business entity based on social networking interactions is provided. In an embodiment, a social networking server provides an interface for users of social networking accounts to request recommendations for business entities and to reply to the requests with recommendations. When the social networking server computer receives a recommendation for a particular business entity, the social networking server computer determines whether the recommending social networking account has recommended the particular business entity in the past. In response to determining that the social networking account has not recommended the particular business entity in the past, the social networking server computer increments a recommendation counter for the particular business entity.

Generating and displaying recommendation counters based on recommendation dialogue captured through a social network and constrained by geographic regions of the recommenders

A system and method for facilitating the locating and hiring of service providers is provided. In an embodiment, a social networking server provides an interface for users of social networking accounts to create service request. When the social networking server computer receives a service request for a particular type of service provider, the social networking server computer identifies service providers of the particular type and sends the service request to the service providers. In response to receiving an indication that a particular service provider is available to fulfill a service request, the social networking server computer sends a message to the service requester that identifies the particular service provider and indicates that the service provider is available to fulfill the service request. In response to receiving an indication from the service requester that the service requester wishes to hire the service provider, the social networking server computer sends a message to the service provider indicating that the service provider has been hired to fulfill the service request.

Identifying service providers for electronically received service requests and using stored account data to connect the requester with providers

Systems and methods for crediting a retailer for an online purchase made by a consumer while the consumer is located within or in the proximity of a store location of the retailer are provided. After browsing a retail location for a product, a consumer can purchase the product from an Internet merchant different than that of the retailer using a mobile or networked client device. The client device can include a module for determining the location of the client device at the time of purchase and include the location information with information used to complete the purchase of the product. This location information can include an actual geographic location, a store identifier, or a retailer identifier. The online merchant can match the location information with retailer information to determine whether a credit for the purchase should be given to a retailer.

Method and system for crediting a retailer for an internet purchase

In general, the subject matter described in this specification can be embodied in methods, systems, and program products for providing a query to a search engine for searching a corpus of documents. A plurality of result documents are received from the search engine, each result document associated with a ranking. For a first document in the plurality, the following is performed. First, a second document in a second corpus is identified as containing content that identifies the same physical object as the first document. The second document was included in a plurality of result documents responsive to a second query of the second corpus, similar to the first query. Second, a new ranking is determined for the first document based on its ranking and relevance data associated with the second document. The relevance data is indicative of the second document's popularity as a result for the second query.

Sharing search engine relevance data

Methods, systems, and apparatus, including computer program products are provided for responding to search queries having results that identify books. In one aspect, a search query and multiple web pages that satisfy the search query and have a ranked order as responses to the search query are received. A subset of web pages that are each a reference page for a respective book are selected. A web page is a reference page for a book when the web page includes a reference to the book and satisfies a citation criterion for the book. A book score is assigned to each of the books for which there is at least one reference page in the group of highest ranking web pages. The book scores are used to select one or more of the books. A book reference is generated for each of the books and the book references are provided in response to the search query.

Providing book information in response to queries

Recommendations for a media item associated with a primary entity are based on co-interaction information gathered from other media content items of several different media types that are also associated with the primary entity. Co-interaction information can include, for example, co-click data for websites, co-watch data for videos, or co-purchase data for purchases. The co-interaction data is processed to determine a co-interaction score between primary media items and secondary media items. From the co-interaction scores, secondary entities associated with the secondary media items are determined. A relatedness score is determined for these secondary entities based on the aggregation of the co-interaction scores of the secondary media items they are associated with. The relatedness score indicates a determination of how related one entity is to another. The secondary entities are ranked according to relatedness score in order to determine secondary entities most relevant to the primary entity.

Cross media type recommendations for media items based on identified entities

Sharing search engine relevance data between corpora

Informational book query

Growing community of inventors

Los Altos, CA, United States of America

Daniel Joseph Clancy