Abstract: A user of a social network may submit a search query relating to one or more topics to a search engine indexing a set of data items, but the search results, while authoritative and informative, may be highly impersonal with respect to the user. Conversely, the user may search for social data items within the social network relating to the topics, and such social data items may be more highly personalized to the user, but may also be inaccurate or incomplete. Instead, the search query may be applied to both the search engine and the social network, and the selected search results and social data items may be integrated into a presentation featuring both authoritative and personalized information about the topics associated with the search query.

Abstract: Computer-readable media, computer systems, and computing methods are provided for employing abstract objects to solicit bids from advertisers and to present ads submitted by the advertisers upon a user invoking the abstract objects while conducting an online search. The abstract objects include entities, entity classes, actions, and tasks, which are mined by crawling storage locations on the Internet. These abstract objects are monetized by building an index with entries referencing the abstract objects and maintaining the index in a location accessible to advertisers. Via the index, the advertisers target the abstract objects and place bids thereon. During a user-initiated online search, the abstract objects that are relevant to a task being carried out by the user are identified. Further, ads submitted by advertisers that placed bids upon the identified abstract objects are selected for presentation. Based on the bids, the winning advertiser's ad is presented to the user.

Abstract: A user of a social network may submit a search query relating to one or more topics to a search engine indexing a set of data items, but the search results, while authoritative and informative, may be highly impersonal with respect to the user. Conversely, the user may search for social data items within the social network relating to the topics, and such social data items may be more highly personalized to the user, but may also be inaccurate or incomplete. Instead, the search query may be applied to both the search engine and the social network, and the selected search results and social data items may be integrated into a presentation featuring both authoritative and personalized information about the topics associated with the search query.

Abstract: Conversations about products and product areas arise among users who also participate in social networks. These conversations often occur over generalized communications channels, such as email or social network messages, which may be unstructured and ephemeral. Such conversations may be promoted among the users of a social group (such as a highly interconnected set of users), and may be restricted to the members of the social group in order to promote reliable discussion and personalized recommendations. The social network may also store such conversations as a product review database that is searchable by members of the social group, evaluate the conversation to identify a consensus recommendation of a product in a product area or a consensus opinion of the social group about a product or recommendation, and compute an aggregated user rating of a product based on the user ratings of the product by various members of the social group.

Abstract: Many contemporary computing scenarios involve the submission by a user of a search query to be applied to a data set (such as a set of web pages indexed by a web search engine.) Additionally, many users participate in social networking and have generated a social profile, including demographic information, interests, and associations with other users who also have social profiles. It may be advantageous to improve the presentation of search results from search queries by adjusting the search queries according to a prediction of user interest of the user in the topics associated with respective search results, based on the information in the social profile of the user. For example, search results relating to topics in which the user or the user's friends have expressed an interest within the social network may be presented before other search results, thereby improving the relevance of the search results to the user.

Abstract: Within a social network, users may form social groups based on shared traits, such as experiences and interests. The social network may be able to detect a user interest among the users of a social group in one or more products offered by one or more vendors (e.g., by evaluating conversations within the social group and search queries executed by users of the social group), and to notify the vendors of the detected user interest. The vendors may be willing to extend an offer to the users of the social group regarding the product, and the social network may present the offer to the users of the social group. The social network may also track acceptances of the offer by users of the social group, and may provide an e-commerce infrastructure to allow users to complete purchases of the product and to provide the rewards featured in the offers.