Abstract: The technology described identifies infrequently submitted past queries for use as query suggestions that are likely assist users in finding the information they seek. The technology includes filtering of infrequent queries by comparing canonical representations of the infrequent queries to canonical representations of popular queries. Canonical representations of infrequent queries are matched to canonical representations of popular queries; any infrequent queries are rejected from use as suggested queries if their canonical representation does not match that of any popular query. Selected infrequent queries can be stored as authorized for use by a subsequent computerized process in determining a query suggestion.

Abstract: Example systems, methods, apparatuses, or articles of manufacture, etc. are disclosed in connection with assisted search results.

Abstract: Methods and apparatus related to processing of at least one descriptive term of a query to obtain at least one query suggestion for a query. A descriptive term may be identified in a partial search query. A modified partial query suggestion request for the partial search query may be transmitted that omits the descriptive term. At least one query suggestion result for the modified partial query suggestion request may be received and the descriptive term reinserted into the query suggestion result.

Abstract: Methods, systems, and computer-readable storage media for recommending a storage layout for the hybrid-store database with actions including receiving one or more data characteristics associated with data that is to be stored in the hybrid-store database, receiving one or more query characteristics associated with one or more queries that are expected to be applied to the hybrid-store database, processing the one or more data characteristics and the one or more query characteristics using a cost model to generate a plurality of costs, each cost being associated with a respective storage layout, identifying, based on the plurality of costs, a recommended storage layout, and providing the recommended storage layout for application to the hybrid-store database.

Abstract: To suggest new connections to a user of a social networking system, the system generates a set of candidate users to whom the user has not already formed a connection. The system determines the likelihood that the user will connect to each candidate user if suggested to do so, and it also computes the value to the social networking system if the user does connect to the candidate user. Then, the system computes an expected value score for each candidate user based on the corresponding likelihood and the value. The candidate users are ranked and the suggestions are provided to the user based on the candidate users' expected value scores. The social networking system can suggest other actions to a user in addition to forming a new connection with other users.

Abstract: Methods, computer systems, and computer-readable storage media for generating and presenting multi-domain recommendations to a user viewing a Web page are provided. A topic-of-interest is identified on the Web page being viewed by the user. The topic-of-interest is mapped to an entity ID in a multi-domain recommendation data structure. The multi-domain recommendation data structure is used to identify entities, uniform resource locators, and search queries mapped to the entity ID. Multi-domain recommendations are generated using the entities, uniform resource locators, and search queries; the multi-domain recommendations are presented on the Web page being viewed by the user.

Abstract: A recommender system can generate a predicted item rating for one user by performing collaborative filtering on item ratings from other users. The recommender system can include a client device that interfaces with a server to obtain a predicted item rating for a local user. The client device can generate a standardized ratings vector for the user, and computes a group identifier for the user based on the standardized ratings vector. The system also generates a noisy ratings vector for the local user, and sends a user-ratings snapshot to a recommendation server that includes the group identifier and the noisy ratings vector. The recommender system can also include the recommendation server that generates a predicted item rating for the user by performing collaborative filtering on ratings vectors from a plurality of other users that belong to the same ratings group.

Abstract: Systems, methods, and computer-readable storage media for providing query-completion suggestions configured to be searched against vertical information domains in response to receiving a general web search query are provided. At least a portion of a general web search query is received. As the portion of the general web search query is received, query-completion suggestions are determined as is a likely primary intent associated with at least a portion of the determined query-completion suggestions. If the likely primary intent associated with a particular query-completion suggestion is for information associated with a particular vertical information domain other than the general web domain, the query-completion suggestion is provided such that selection thereof causes searching of the query-completion suggestion against the particular information domain for search results.

Abstract: Computer-readable media, computer systems, and computing devices method of facilitating presentation of alternative query suggestions. The method includes referencing an initial query having a plurality of terms. A term(s) to remove from the initial query is identified, for example, based at least on a number of times the term(s) occur in previous queries. The initial query is modified by removing the term(s) from the initial query. Thereafter, the modified query is used to identify an alternative query suggestion(s) that includes at least one term that matches at least one term of the modified query.

Abstract: Methods, computer systems and computer-readable media for adding social network data to search suggestions are provided. At least a portion of a search query is received, and a set of suggested search queries is determined for the at least a portion of the search query. A first suggested search query in the set of suggested search queries is determined to be associated with a person or entity. A social data store is accessed; the social data store includes social network data. It is determined that the person or entity is associated with a set of social network data in the social data store, and the set of social network data in association with the first suggested search query is provided to a search engine page.

Abstract: Computer-implemented methods, systems, computer program products for generating cross-language query suggestions are described. A pair of machine-generated translations are obtained for a primary-language query suggestion. A first machine-generated translation of the pair is generated by machine-translation from a first language to a second language, while the second machine-generated translation is generated by machine-translation from the second language to the first language. A respective difference measure is determined for each machine-generated translation based on the number of n-grams the machine-generated translation has in common with the primary-language query suggestion. The machine-generated translation that has a smaller number of n-grams in common with the primary-language query suggestion is identified as a preferred choice as a cross-language query suggestion for the primary-language query suggestion.

Abstract: An approach is presented for providing contextual based searches. A contextual query platform processes at least one query to parse one or more terms associated with at least one contextual parameter. The platform further determines one or more values and/or one or more probabilities associated with the one or more values for the at least one contextual parameter based on one or more probabilistic models associated with the at least one contextual parameter. The platform further compares the one or more values and/or the one or more probabilities against at least one threshold criteria. The platform further determines whether to process the at least one query using the one or more values, to generate a recommendation for using the one or more values, to determine one or more alternate values, or a combination thereof based, at least in part, on the comparison.

Abstract: A method and system are provided for processing a search request received from a user operating a text input device. The search request is directed at identifying a desired item from a set of items, each of which has one or more associated terms. The method includes receiving a query input from a user that comprises one or more characters input by the user on the text input device. As each character of the query input is received from the user, a group of items having one or more terms matching the received characters is dynamically identified. The items in the group are ordered based on relevance values of the terms matching the characters and on the number of characters of the query input used in identifying the group of items. Identification of the group of items as ordered is transmitted to the user to be displayed.

Abstract: Systems and methods described herein may operate to receive, at a search service, a first query from a user device corresponding to a current user of the search service, analyze existing search queries performed by users of the search service, and selectively provide, to the user device, a second query of the existing search queries as at least one of: a refinement of the first query based on determining that the second query includes all keywords in the first query, or an alternative to the first query based on determining that the second query lacks at least one keyword in the first query.

Abstract: Embodiments of tokenized search suggestions include generating, by at least one suggestion engine executing on a data processing system, first suggestions based on first text input in a text input field. The first suggestions are displayed on a display device and a selection of one of the first suggestions is received. The first text input is replaced with a first token corresponding to the selected one of the first suggestions. The at least one suggestion engine generates second suggestions based on second text input in the text input field and filters the second suggestions using the selected one of the first suggestions. The filtered selections are displayed on a display device.

Abstract: The present invention relates to a method for recommending other users who have similar preference with a user. The method includes the steps of: acquiring information on objects selected by a user and other users; acquiring information on topics; determining to which topic the user and the other users respectively correspond; evaluating a degree of user similarity by each other user, the degree of user similarity being relevant to sum of probabilities of the specific object appearing in the state of a topic while k-th other user and the user have the topic as a probability of the k-th other user and the user having selected the specific object, by referring to correspondence relationships; and recommending specific other users who have a high degree of user similarity, wherein the degree of user similarity is evaluated by multiplying the sum by a probability of the specific object appearing independently.

Abstract: Computer based systems, methods, software and databases are presented in which correlations between web item preferences, behaviors and pangenetic (genetic and epigenetic) attributes of individuals are used for pangenetic based user behavior prediction in which predictions of a user's online behavior can be generated based on the user's pangenetic makeup. Data masking can be used to maintain privacy of sensitive portions of the pangenetic data.

Abstract: Browsing content stored in a content source. A hierarchical tree structure is accessed. The hierarchical tree structure has nodes that correspond to at least one query for recommended content of a first content type that is recommended based on a collection of data for content of a second content type, the first content type and the second content type being different. Recommended content, of the first content type, stored in the content source is browsed by executing the at least one query for recommended content, the at least one query corresponding to at least one node of the hierarchical tree structure. The browsing is performed in accordance with a hierarchy of the hierarchical tree structure.

Abstract: Watercraft automation and aquatic data utilization for aquatic efforts are disclosed. In one aspect, an anchor point is obtained and a watercraft position maintenance routine is actuated to control the watercraft to maintain association with the anchor point. In another aspect, prior aquatic effort data is obtained in association with an anchor point. In yet another aspect, current aquatic effort data is generated in association with an anchor point. In still another aspect, current aquatic effort data and prior aquatic effort data are utilized for prediction generation. In yet another aspect, current aquatic effort data and prior aquatic effort data are utilized to obtain another anchor point for a watercraft.

Abstract: Watercraft automation and aquatic data utilization for aquatic efforts are disclosed. In one aspect, an anchor point is obtained and a watercraft position maintenance routine is actuated to control the watercraft to maintain association with the anchor point. In another aspect, prior aquatic effort data is obtained in association with an anchor point. In yet another aspect, current aquatic effort data is generated in association with an anchor point. In still another aspect, current aquatic effort data and prior aquatic effort data are utilized for prediction generation. In yet another aspect, current aquatic effort data and prior aquatic effort data are utilized to obtain another anchor point for a watercraft.

Abstract: A computer-implemented method and system are provided for generating media recommendations in a media recommendation network. Aspects of the method and system include receiving by a server a plurality of play histories of media items from a plurality of users of devices, wherein at least a portion of the media items are tagged with corresponding time and location data indicating a time and location of play; receiving by the server a media recommendation request from a requester, including receiving seed information indicating a current location of the requester; using at least one of user preferences of the requester and the seed information to identify correlated users from which to search corresponding play histories from among the plurality of play histories; comparing the seed information to the corresponding play histories and generating a list of related media items contained therein; and returning the list of related media items to the requester.

Abstract: To suggest new connections to a user of a social networking system, the system generates a set of candidate users to whom the user has not already formed a connection. The system determines the likelihood that the user will connect to each candidate user if suggested to do so, and it also computes the value to the social networking system if the user does connect to the candidate user. Then, the system computes an expected value score for each candidate user based on the corresponding likelihood and the value. The candidate users are ranked and the suggestions are provided to the user based on the candidate users' expected value scores. The social networking system can suggest other actions to a user in addition to forming a new connection with other users.

Abstract: A method, a system and a computer program product for providing one or more actionable recommendations relevant to a need of a user and relevant to the user, are provided. A query is received for capturing the need of the user. Further, the need is analyzed to determine one or more characteristics corresponding to the need. Furthermore, the need is processed to generate one or more actionable recommendations. Moreover, the one or more actionable recommendations are provided to the user. The system also includes a processing module to process the need to generate one or more actionable recommendations. The system further includes a feedback module for iterative processing of the need.

Abstract: According to one embodiment, a content recommendation device includes a storage to store metadata; a display unit to display a plurality of pieces of content information corresponding to the contents; a selection unit to select first content information displayed on the display unit and second content information to be displayed after the first content information; an extraction unit to extract a keyword based on a co-occurrence relation between the metadata of the first and second content information; a generation unit to generate a search query based on the keyword; an acquisition unit to acquire third content information from an external database using the search query; a calculation unit configured to calculate similarity between the second and third content information by using the metadata of the second and third content information; and an arrangement control unit to arrange the third content information on the display unit based on the similarity.

Abstract: A method, a system and a computer program product for providing solutions for fulfilling a need of a user are provided. A query is received for capturing the need of the user. The need is processed to generate a set of actionable recommendations. Further one or more actions are identified by analyzing the recommendations. Furthermore, the actionable recommendations are provided to the user. The system includes a processing module to process the need to generate set of actionable recommendations. The actionable recommendations may be based on the user's preferences. The system further includes an Enriching module to provide richer information about the recommendation and to provide one or more actions for the fulfillment of needs. The system further includes a crystallization module for iterative processing of the need for more relevant recommendations. Further, the user is enabled to get opinion, about the recommendations, from other users.

Abstract: A system and method for offering suggestions to a user of a mobile computing device based on information relevant to the user and a context data. The mobile computing device has access to lists of data associated with the user. The mobile computing device also has a sensor for detecting data about the user's context. Based on the lists of information and the contextual data , the device generates a hypothesis as to information that may be of interest to the user. Using context data in conjunction with lists in this fashion focuses the system on information likely of interest, without requiring express user input. A search may be performed in accordance with the hypothesis. Based on the results of the search, one or more suggestions are then presented by the mobile computing device to the user. The user has the option to provide feedback input to the device resulting in an update of the suggestion.

Abstract: A facility for generating item recommendations is described. In one embodiment, the facility displays a plurality of item indications each indicating an item. The facility then receives user input selecting one or more of the displayed item indications, and selects as seed items the items indicated by the selected item indications. The facility then uses the selected seed items to generate a list of recommended items, and displays the generated list of recommended items.

Abstract: A server determines a plurality of immediate candidate items for a first web page to recommend to a user. For each particular immediate candidate item of the plurality of immediate candidate items, the server determines a separate sequence of two or more subsequent possible candidate items for subsequent web pages to recommend to the user in the event that the user selects the particular immediate candidate item. Further, the server selects a particular immediate candidate item from the plurality of immediate candidate items for the first web page to recommend to the user. The first web page that recommends the plurality of immediate candidate items is generated and sent over the Internet to the user.

Abstract: The present invention is directed to presenting a suggested search query. Responsive to receiving a user-devised search parameter, a suggested search query is identified. The user-devised search parameter might have been previously received by a search system, or alternatively, might be a unique query that has not been previously received. A suggested search query might be generated using various techniques, such as by applying an n-gram language model. A classification of the suggested search query is determined, and the suggested search query is presented together with a visual indicator, which signifies the classification.

Abstract: Provided is an information recommendation system capable of recommending an unexpected item which a user is interested in but cannot assume easily. A server gives one or more times of initial recommendations of recommending information by a means of a user profile and a behavior history, and narrows down second recommended items to recommend next by using not only information relating to items having responses but also information relating to items having no response together. In narrowing down, the items are arranged by means of an item arrangement program by using the results of the initial recommendations, and it is identified depending on similarity by means of a boundary calculation program where the boundary between user's interest and no interest is positioned in all the items.

Abstract: Systems and methods for registering members in a talent management platform, arranging the members in a system network, obtaining profile information from external networks associated with the members, listing open positions, and automatically generating referrals for the open positions using the profile information are described herein.

Abstract: Techniques for searching in a multitenant database environment. A graphical user interface is provided that includes a search functionality for searching a database within a multitenant database environment. The multitenant environment includes data for multiple client entities, each identified by a tenant identifier (ID) having one of one or more associated users. Users of the client identities can only access data identified by their tenant ID. The multitenant environment is at least a hosted database provided by an entity separate from the client entities, and provides on-demand database service to the client entities. Suggested search results are provided in response to user-generated search query input. The suggested search results are based on monitored usage patterns corresponding to a user and are refined in response to subsequent user-generated search query input. Search results are provided based on the user-generated search query input and/or a user selection from the suggested search results.

Abstract: Disclosed are embodiments of systems and methods for recommending relevant users to other users in a user community. In one implementation of such a method, two different sets of data are considered: a) music (or other items) that users have been listening to (or otherwise engaging), and b) music (or other items) recommendations that users have been given. In some embodiments, pre-computation methods allow the system to efficiently compare item sets and recommended item sets among the users in the community. Such comparisons may also comprise metrics that the system can use to figure out which users should be recommended for a given target user.

Abstract: Internet search queries are a powerful tool for users to discover and interact with internet content. In response to submitting a user search query, the user may be presented with search result content comprising links and descriptions of websites, images, and/or other information relevant to the user search query. Unfortunately, current search engines and/or websites do not embed user experience data (e.g., hyperlinks to additional queries, images, pop-ups, etc.) within the search result content based upon user intent. Accordingly, one or more systems and/or techniques for embedding user experience data in search result content are disclosed herein. Search result content may be received and terms (e.g., text or other data) within the search result content may be tagged based upon a user intent. User experience data may be embedded within the tagged terms. The search result content with the embedded user experience data may be presented to the user.

Abstract: An apparatus and method for providing a user interface through which a user may generate a conditional expression are provided. The user interface provides guidance to a user as to the proper parts of the conditional expression to include in the conditional expression as the user constructs the conditional expression. Thus, as the user completes parts of the conditional expression, the guidance that is offered is updated based on the current context of the conditional expression. This guidance may include listings of variables, attributes and/or functions that are most appropriate to be entered next in the conditional expression, help text, and the like.

Abstract: A system and method for allowing a user to more effectively generate focused content results, including audio and/or video content. Content is dynamically filtered to generate content results in response to initial filtering settings or characteristics. The content results are provided to a user. Once the user finds and selects a content result of interest, additional filtering characteristics associated with the selected result are provided to the user as a suggestion for additional filtering. In this manner, the user is made aware of additional filtering settings or characteristics that can be used to focus the search results. Subsequent filter settings and filtering operations can be based on characteristics of previous relevant results in an iterative and dynamic manner. Focused results are more likely produced, because additional filtering settings are provided and adjusted according to characteristics of results deemed relevant by the user.

Abstract: An information processing apparatus includes: an acceptance unit adapted to accept a selection of a plurality of data for generating a search condition; a readout unit adapted to read out, for each piece of the plurality of data, metadata showing attribute values of the piece of data, from a storage device; a generation unit adapted to analyze, for each type of attribute, the attribute values shown by the metadata of the plurality of data, and generate a search condition candidate that includes an attribute value representative of the attribute values of the plurality of data; a presentation unit adapted to selectably present the search condition candidate generated by the generation unit to a user; and a search unit adapted to retrieve, from a plurality of search target data, data that matches a search condition candidate selected by the user.