3. The method of claim 1 wherein the using the vector space model further comprises using at least one data item of a set of data items, the set including location information, organization information, career information, or partner information.
1. A method comprised of steps that are each performed by one or more computers, the steps manipulating data and information stored by the one or more computers, the steps of the method comprising: disambiguating person data located from one or more sets of search results, including extracting information about a person based on name entity extraction, and calculating similarity data, wherein the calculating similarity data comprises using a vector space model, wherein using the vector space model comprises determining a vector for a person, the vector comprising a plurality of entity features including one or more entity locations related to the person, one or more entity organizations related to the person, and one or more entities that the person has been associated with the person, wherein calculating similarity data comprises using a calculation in which each entity feature of the person vector has an entity weight and a nearness weight, and wherein the calculation comprises, for each entity feature, combining the corresponding entity weight and nearness weight with an entity weight and nearness weight of a same entity feature of another person vector and aggregating the combined weights of the entity features.