Yahoo! Inc.

Excalibur Ip, LLC

Oath Inc.

Vanessa Graham Murdock

Vassilis Plachouras

Massimiliano Ciaramita

Roelof Van Zwol

Barbara Poblete

Sheila Kinsella

Lluis Garcia

Lluis Garcia Pueyo

Georgina Ramirez Camps

Hugues Bouchard

Pavel Serdyukov

Emmanouil Papangelis

Lluís Garcia Pueyo

Luis Garcia

In one embodiment, a first computing device accesses a first search query issued by a user and one or more first documents identified in response to the first search query; determines a first set of tokens for each of the first documents; and transmits the first documents and their associated first sets of tokens to a second computing device associated with the user for display to the user, wherein: each of the first documents is displayed together with its associated first set of tokens; and the tokens of each of the first sets of tokens are visually distinguished based on the concepts they represent and their levels of relevance with respect to the first document associated with the first set of tokens.

Search results summarized with tokens

Methods, systems and computer program products for associating geographical locations with annotations corresponding to content. In one method, a language model is developed. The language model is developed from the location information and the one or more annotations associated with content uploaded by users. The language model is based on the probabilistic distribution of locations over one or more annotations. Further, when a user provides one or more annotations, the system and the method may use the language model to identify one or more locations associated with the one or more annotations provided by the user. The language model predicts one or more geographical locations based on the probabilistic distribution of locations over the annotations.

Methods and system for associating locations with annotations

Disclosed are methods and apparatus for executing a search query. In accordance with one embodiment, a search query is obtained. The search query is classified into one or more of a plurality of categories. The search query is executed for each of the one or more of the plurality of categories. Search results corresponding to the search query are obtained for each of the one or more of the plurality of categories. The search results are then provided for each of the one or more of the plurality of categories.

Lightning search aggregate

Methods, systems and computer program products for displaying geographical locations with the one or more annotations. In a particular embodiment, a language model is used to obtain the probability distribution of the locations over one or more annotations. Further, the system and the method utilizes the probability data obtained from the language model to determine a probability score for each location over the one or more annotations. Subsequently, one or more geographical locations are displayed on a world map, based on the probability score of the geographical locations over the one or more annotations. In one embodiment, geographical locations may be highlighted using a color code on a heat map overlaid on the world map. The color code may represent the ranking of the geographical locations based on the calculated probability score for each identified geographical location. Further, when the user provides one or more additional annotations, the world map may be dynamically updated to display the relevant geographical locations associated with the updated annotations.

Method and interface for displaying locations associated with annotations

Briefly, one or more embodiments of methods, apparatuses or systems for media or content tagging are described.

Media or content tagging determined by user credibility signals

Methods, computer products, and systems for selecting advertisements in response to an internet query are provided. The method provides for receiving an internet query having query terms, and retrieving and ranking a first set of advertisements using a query likelihood model. Sampling words are selected using pseudo-relevance feedback and translation models, the internet query, and the first set of ad materials. Sampling words are chosen from the words in the first set, and the pseudo-relevance feedback model is used to select word w in the distribution of words based on a probability that w generates query term q(p(q|w)). The translation model calculates p(q|w) based on a translation probability that w translates into q(t(q|w)). A second set of ad materials are retrieved and ranked using an expanded query which adds the selected sampling words to the original query. The second set of ad materials is presented to the user.

Ranking advertisements with pseudo-relevance feedback and translation models

Techniques are provided for prediction locations of users that submit search queries. A query is received at a search engine. An inverted index is searched to identify one or more geographical locations associated with one or more terms of the received query. The inverted index lists a plurality of query terms and one or more geographical locations associated with each query term. Each geographic location that is associated with a listed query term in the inverted index is a determined location for at least one user previously having submitted the listed term in a search query. A geographical location is predicted for a user that submitted the received query based on the identified one or more geographical locations. In this manner, a location is predicted for the user based on similar queries previously submitted by users.

Method and system to identify geographical locations associated with queries received at a search engine

A user submitting a query from a computer at an unknown location is located using a language model. The language model is derived from an aggregation of tweets that were sent from known locations.

Locating a user based on aggregated tweet content associated with a location

A system for and method for ranking results. The system includes a server configured to receive a query and an advertisement engine configured to receive the query from the server. The advertisement engine ranks advertisements based on various features, including at least one word overlap feature and a correlation feature.

Ranking using word overlap and correlation features

In one embodiment, a search query is received. Information identifying a bookmark representing the search query is automatically stored in association with a set of bookmarks. Search results corresponding to the search query are automatically obtained and provided, where the search results identify one or more documents. When one of the documents is selected, a link to the selected one of the documents is automatically stored in association with the bookmark.

Method for storing bookmarks for search results from previously submitted search queries by a user and storing links to selected documents by the user

Techniques are described to increase the diversity or focus of image search results. A user submits an original query to search for images. A server generates a first results set by executing the original query using metadata associated with each image. The server selects, from the first results set, a specified number of results ranked highest and generates a list of terms from the metadata of each of the results selected. The terms may be only the tags of the results. The server generates an updated query using terms in the list that may be weighted based on the frequency of the term in the list or include only a specified number of the highest occurring terms in the list. The server generates a second results set by executing the updated query using metadata associated with each image. The second results set is then stored and displayed to the user.

Methods for improving the diversity of image search results

An ad matching system that includes an interactive client permits a triggering Web page author to provide feedback on a candidate advertisement for the page. Author feedback is used to rank ads for display on the triggering page. Preferably author feedback is also incorporated into ad clustering and/or ad ranking formulae within the system. Also, author credibility is judged based on author feedback and on click through rates of placed ads.

Contextual ad matching strategies that incorporate author feedback

A system for selecting electronic advertisements from an advertisement pool to match the surrounding content is disclosed. To select advertisements, the system takes an approach to content match that takes advantage of machine translation technologies. The system of the present invention implements this goal by means of simple and efficient machine translation features that are extracted from the surrounding context to match with the pool of potential advertisements. Machine translation features used as features for training a machine learning model. In one embodiment, a ranking SVM (Support Vector Machines) trained to identify advertisements relevant to a particular context. The trained machine learning model can then be used to rank advertisements for a particular context by supplying the machine learning model with the machine translation features measures for the advertisements and the surrounding context.

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Barcelona, Spain

Vanessa Graham Murdock