Abstract: Disclosed are methods and apparatus for providing a set of recommended annotations. A set of tags associated with a content item within a content sharing system is identified, where the content item is associated with a user of the content sharing system. A set of global tag co-occurrences within the content sharing system is identified for the set of tags, where each of the global tag co-occurrences in the set of global tag co-occurrences identifies a pair of tags including one of the set of tags, wherein the pair of tags have both been used together to tag at least one of the content items within the content sharing system. One or more sets of personal tag co-occurrences is identified for the set of tags, where each of the sets of personal tag co-occurrences is used in a corresponding one of one or more personal contexts of the content sharing system, the one or more personal contexts relating to the user of the content sharing system.

Abstract: Subject matter disclosed herein relates to electronic image object or logo recognition.

Abstract: An approach for responding to a text-based query for a digital image is provided. A request that identifies one or more keywords is received. A number of annotated digital images are selected based on a previously determined optimum quantity of annotated digital images. Composite data is gathered from each annotated digital image and a set of candidate digital images is selected based on the composite data. The set of candidate images are the digital images, of a set of digital images, which have a visual appearance that is most similar to the composite data. A response is generated that identifies those digital images which are most responsive to the one or more keywords. Alternatively, a partitioned response is generated which identifies dissimilar sets of digital images.

Abstract: 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.

Abstract: 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.

Abstract: A method or system for measuring or estimating user credibility is described.

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

Abstract: A method or system for employing user credibility in electronic media advertising is disclosed.

Abstract: A search results page contains images that are organized based on the visual features of those images; images that have common visual features are grouped together using either a folding or a reciprocal election technique. Images that pertain to a particular meaning of a query term are less likely to be scattered across the page. A group of images that have common visual features is represented on the page by a single representative image from that group. Consequently, space for more representative images becomes available on the image search results page. Thus, search results page contains visually diverse representative images; space on the results page is not wasted by repeatedly showing the same image. The initial image search results page also therefore is more likely to contain representative images that otherwise would have occurred too far down a relevance-ranked list to be included within the initial search results page.

Abstract: Briefly, embodiments of a method or system of predicting media content preferences are disclosed.

Abstract: Example methods, apparatuses, or articles of manufacture are disclosed that may be implemented using one or more computing devices to facilitate or otherwise support one or more processes or operations associated with ranking entity facets using user-click feedback.

Abstract: Exemplary methods and apparatuses are disclosed that may be used to provide or otherwise support extraction of objects and facets from one or more extraction corpora and ranking of said facets using multiple ranking corpora.

Abstract: An improved system and method for classifying tags of content using a hyperlinked corpus of classified web pages is provided. An anchor text index may be searched to find anchor texts that may match text of the tag, documents referenced by the matching anchor texts may be found, and the documents referenced by the matching anchor texts may be grouped to disambiguate multiple classifications that result from matching the anchor texts with the categories of the reference documents. To resolve ambiguity between multiple classifications, weighted classifications may be used where each document may be assigned a positive weight for a mapping to a category to indicate the confidence of the classification of the document to the category. The classification for the grouping of the documents referenced by the matching anchor texts with greatest frequency may be selected and output as the classification for the tag.

Abstract: Methods and apparatus are described for classifying content resources in a data set according to an external classification scheme using structural patterns associated with the data set.

Abstract: 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.

Abstract: 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.

Abstract: Embodiments of data processing and more specifically of methods, apparatuses and/or systems for use in identifying one or more graphical images and/or ranking or serving graphical images via one or more computing devices are disclosed.

Abstract: An improved system and method for a task management library to execute map-reduce applications is provided. A map-reduce application may be operably coupled to a task manager library and a map-reduce library on a client device. The task manager library may include a wrapper application programming interface that provides application programming interfaces invoked by a wrapper to parse data input values of the map-reduce application. The task manager library may also include a configurator that extracts data and parameters of the map-reduce application from a configuration file to configure the map-reduce application for execution, a scheduler that determines an execution plan based on input and output data dependencies of mappers and reducers, a launcher that iteratively launches the mappers and reducers according to the execution plan, and a task executor that requests the map-reduce library to invoke execution of mappers on mapper servers and reducers on reducer servers.

Abstract: An approach for responding to a text-based query for a digital image is provided. A request that identifies one or more keywords is received. A number of annotated digital images are selected. Each selected annotated digital image has a bounded region, on its appearance, that has an annotation associated with at least one of the keywords. A set of candidate digital images is selected for each annotated digital image. The set of candidate images, for a particular annotated digital image, are the digital images, of a set of digital images, which have an appearance that is most similar to the particular annotated digital image. The sets of candidate images are aggregated into a single set of digital images. A response is generated that identifies those digital images in the single set of digital images which are most responsive to the one or more keywords.

Abstract: Exemplary methods and apparatuses are disclosed that may be used to provide or otherwise support ranking entity relations utilizing the vocabulary of at least one external corpus for use in search engine information management systems.