Abstract: Systems and methods for recommending headlines of an article are disclosed. A topic for the article may be chosen based on the article and an original headline. Trending words within the topic that are related to the article are identified and suggested for inclusion in a revised headline.

Abstract: Software running on servers at a website hosting a news service generates a first profile for a user of the news service. The first profile is based at least in part on implicit relevance feedback from the user on content presented by the news service. The software obtains a second profile for the user from a web-searching service. The software creates a score for a candidate item of content. The score is based on similarity of the candidate item to the first profile and similarity of the candidate item to the second profile. Similarity to the second profile measures at least similarity to a plurality of web-search queries and similarity to any titles of any search results resulting from each of the queries. The software then presents the item of content to the user in a content stream served by the news service, based on the score.

Abstract: A retrieval method on a database of documents including text and names of participants associated with the documents includes: receiving a text query facet of keywords and a persons query facet of participant names; computing an enriched text query as an aggregation of the text query facet, a monomodal expansion of the text query facet based on the keywords, a cross-modal expansion of the text query facet based on the participant names, and a topic expansion of the text query facet based on a topic model associating words and topics; computing an enriched persons query as an aggregation of the persons query facet, a monomodal expansion of the persons query facet based on the participant names, a cross-modal expansion of the persons query facet based on the keywords, and a community expansion of the persons query facet based on a community model associating persons and communities.

Abstract: Software running on servers at a website hosting a news service generates a first profile for a user of the news service. The first profile is based at least in part on implicit relevance feedback from the user on content presented by the news service. The software obtains a second profile for the user from a web-searching service. The software creates a score for a candidate item of content. The score is based on similarity of the candidate item to the first profile and similarity of the candidate item to the second profile. Similarity to the second profile measures at least similarity to a plurality of web-search queries and similarity to any titles of any search results resulting from each of the queries. The software then presents the item of content to the user in a content stream served by the news service, based on the score.

Abstract: A retrieval method on a database of documents including text and names of participants associated with the documents includes: receiving a text query facet of keywords and a persons query facet of participant names; computing an enriched text query as an aggregation of the text query facet, a monomodal expansion of the text query facet based on the keywords, a cross-modal expansion of the text query facet based on the participant names, and a topic expansion of the text query facet based on a topic model associating words and topics; computing an enriched persons query as an aggregation of the persons query facet, a monomodal expansion of the persons query facet based on the participant names, a cross-modal expansion of the persons query facet based on the keywords, and a community expansion of the persons query facet based on a community model associating persons and communities.

Abstract: A set of documents is annotated by metadata specifying persons associated with documents and their social roles in the documents. The annotated documents define a group of representation modes including at least one content type and at least one social role. An electronic processing device computes a relevance score for a person of interest using a set of queries each having a target social role by performing a sequence of operations that includes the following operations: computing similarities between documents and queries with respect to at least one similarity mode of the group of representation modes; enriching queries or documents to identify and aggregate nearest neighbor documents that are most similar with respect to at least one enrichment mode of the group of representation modes; aggregating over documents; aggregating over queries; and aggregating over at least one of (i) enrichment modes, (ii) similarity modes, and (iii) target social roles.

Abstract: A set of documents is annotated by metadata specifying persons associated with documents and their social roles in the documents. The annotated documents define a group of representation modes including at least one content type and at least one social role. An electronic processing device computes a relevance score for a person of interest using a set of queries each having a target social role by performing a sequence of operations that includes the following operations: computing similarities between documents and queries with respect to at least one similarity mode of the group of representation modes; enriching queries or documents to identify and aggregate nearest neighbor documents that are most similar with respect to at least one enrichment mode of the group of representation modes; aggregating over documents; aggregating over queries; and aggregating over at least one of (i) enrichment modes, (ii) similarity modes, and (iii) target social roles.