Abstract: A topic feed is generated for publication or distribution to a set of followers or recipients who have elected to receive the topic feed from the user or based on the subject matter content of a topic input in the topic feed. The topic feed is distributed and includes the topic input. Experts in subject matter can be identified based on the user's topic input and/or text in the topic feed that the followers interact with.

Abstract: Generating and updating event presentation user interfaces. Embodiments include identifying a first geographical location of a first computing device corresponding to a first invitee to an event, and a second geographical location of a second computing device corresponding to a second invitee. An event presentation user interface is generated, to include a first invitee presence indicator indicating that the first invitee is within a predetermined distance from a geographical location of the event, and a second invitee presence indicator indicating the second invitee is outside of the predetermined distance from the geographical location of the event. Based at least on the second computing device having moved to a third geographical location that is within the predetermined distance from the geographical location of the event, the second invitee presence indicator is updated to indicate that the second invitee is within the predetermined distance from the geographical location of the event.

Abstract: Generating and updating event presentation user interfaces. Embodiments include identifying a first geographical location of a first computing device corresponding to a first invitee to an event, and a second geographical location of a second computing device corresponding to a second invitee. An event presentation user interface is generated, to include a first invitee presence indicator indicating that the first invitee is within a predetermined distance from a geographical location of the event, and a second invitee presence indicator indicating the second invitee is outside of the predetermined distance from the geographical location of the event. Based at least on the second computing device having moved to a third geographical location that is within the predetermined distance from the geographical location of the event, the second invitee presence indicator is updated to indicate that the second invitee is within the predetermined distance from the geographical location of the event.

Abstract: A topic feed is generated for publication or distribution to a set of followers or recipients who have elected to receive the topic feed from the user or based on the subject matter content of a topic input in the topic feed. The topic feed is distributed and includes the topic input. Experts in subject matter can be identified based on the user's topic input and/or text in the topic feed that the followers interact with.

Abstract: Social networks often permit users to create events, and to invite one or more contacts of the user to as guests. However, conventional social networks may not sufficiently facilitate users in planning an event for which one or more event details are to be determined. According to the techniques presented herein, a social network may permit users to create an event plan, and may permit guests to submit event plan suggestions for various event plan details of the event plan. The social network may also assist the guests in selecting among the event plan suggestions, e.g., by accepting and tallying votes by the guests among alternative event plan suggestions, by providing event plan suggestions based on search engine results, and by presenting maps of event plan suggestions involving locations. The social network may also accept RSVPs, and may notify guests once a guest arrives at a location of the event.

Abstract: A topic feed is generated for publication or distribution to a set of followers or recipients who have elected to receive the topic feed from the user or based on the subject matter content of a topic input in the topic feed. The topic feed is distributed and includes the topic input. Experts in subject matter can be identified based on the user's topic input and/or text in the topic feed that the followers interact with.

Abstract: A set of stories may be related in a set of messages (e.g., news articles, weblog posts, or messages exchanged in a social network). Presented herein are techniques for automatically generating a summary of respective stories that may be used as a headline or title. These techniques involve identifying the entities referenced in each message, clustering the messages based on similarly referenced entities to generate a cluster of messages associated with each story, and identifying facts of the story that appear in many of the messages, which may be used to generate a perspective-independent summary of the story. Additionally, metadata regarding each message may be detected (e.g., the entities involved in each story, a meta-story of the story, and the perspective of the author in relating the story), and may be used to fulfill requests to filter the set of stories and/or messages based on these criteria.

Abstract: When a user enters an information retrieval query, a topic feed generator automatically generates a topic feed for publication or distribution to a set of followers or recipients who have elected to receive the topic feed from the user or based on the subject matter content of the query. A feed distributor component automatically distributes the topic feed, which includes the query, to the identified recipients. A search component executes the search and returns results, corresponding to the query, to the user.

Abstract: A topic feed is generated for publication or distribution to a set of followers or recipients who have elected to receive the topic feed from the user or based on the subject matter content of a topic input in the topic feed. The topic feed is distributed and includes the topic input. Experts in subject matter can be identified based on the user's topic input and/or text in the topic feed that the followers interact with.

Abstract: When a user enters an information retrieval query, a topic feed is generated for publication or distribution to a set of followers or recipients who have elected to receive the topic feed from the user or based on the subject matter content of the query. The topic feed is distributed and includes the query. Experts in subject matter can be identified based on the user's queries and other text in the topic feed that the followers interact with.

Abstract: When a user enters an information retrieval query, topic feed is generated for publication or distribution to a set of followers or recipients who have elected to receive the topic feed from the user or based on the subject matter content of the query. The topic feed is distributed and includes the query. The user's interests are tracked based on text in the user's queries and other text in the topic feed that the user interacts with.

Abstract: When a user enters an information retrieval query, a topic feed generator automatically generates a topic feed for publication or distribution to a set of followers or recipients who have elected to receive the topic feed from the user or based on the subject matter content of the query. A feed distributor component automatically distributes the topic feed, which includes the query, to the identified recipients. A search component executes the search and returns results, corresponding to the query, to the user.

Abstract: When a user enters an information retrieval query, a topic feed is generated for publication or distribution to a set of followers or recipients who have elected to receive the topic feed from the user or based on the subject matter content of the query. The topic feed is distributed and includes the query. Experts in subject matter can be identified based on the user's queries and other text in the topic feed that the followers interact with.

Abstract: When a user enters an information retrieval query, topic feed is generated for publication or distribution to a set of followers or recipients who have elected to receive the topic feed from the user or based on the subject matter content of the query. The topic feed is distributed and includes the query. The user's interests are tracked based on text in the user's queries and other text in the topic feed that the user interacts with.

Abstract: A set of stories may be related in a set of messages (e.g., news articles, weblog posts, or messages exchanged in a social network). Presented herein are techniques for automatically generating a summary of respective stories that may be used as a headline or title. These techniques involve identifying the entities referenced in each message, clustering the messages based on similarly referenced entities to generate a cluster of messages associated with each story, and identifying facts of the story that appear in many of the messages, which may be used to generate a perspective-independent summary of the story. Additionally, metadata regarding each message may be detected (e.g., the entities involved in each story, a meta-story of the story, and the perspective of the author in relating the story), and may be used to fulfill requests to filter the set of stories and/or messages based on these criteria.

Abstract: Social networks often permit users to create events, and to invite one or more contacts of the user to as guests. However, conventional social networks may not sufficiently facilitate users in planning an event for which one or more event details are to be determined. According to the techniques presented herein, a social network may permit users to create an event plan, and may permit guests to submit event plan suggestions for various event plan details of the event plan. The social network may also assist the guests in selecting among the event plan suggestions, e.g., by accepting and tallying votes by the guests among alternative event plan suggestions, by providing event plan suggestions based on search engine results, and by presenting maps of event plan suggestions involving locations. The social network may also accept RSVPs, and may notify guests once a guest arrives at a location of the event.