25. A method, comprising: receiving a search query; determining a character count of the search query; in response to receiving the search query, using a processing circuit to search for a match to the search query in an electronic collection of content items by searching subspace categories representing respective classes of the content items, the subspace categories having respective search query character count dependent relevance bias values representing a relevance of the respective classes of content items to search queries of a given character count; identifying, in the electronic collection of content items, a plurality of content items matching the search query including a first content item of a first class linked to a first subspace category of the subspace categories and a second content item of a second class linked to a second subspace category of the subspace categories, the first subspace category having a first search query character count dependent relevance bias value for the character count determined for the search query received and the second subspace category having a second search query character count dependent relevance bias value different than the first character count dependent relevance bias value for the character count determined for the search query received; determining an ordering of the first and second content items matching the search query based at least in part on the first search query character count dependent relevance bias value of the first subspace category and the second search query character count dependent relevance bias value of the second subspace category; and causing to be presented the plurality of content items in accordance with the ordering.
25. A method, comprising: receiving a search query; determining a character count of the search query; in response to receiving the search query, using a processing circuit to search for a match to the search query in an electronic collection of content items by searching subspace categories representing respective classes of the content items, the subspace categories having respective search query character count dependent relevance bias values representing a relevance of the respective classes of content items to search queries of a given character count; identifying, in the electronic collection of content items, a plurality of content items matching the search query including a first content item of a first class linked to a first subspace category of the subspace categories and a second content item of a second class linked to a second subspace category of the subspace categories, the first subspace category having a first search query character count dependent relevance bias value for the character count determined for the search query received and the second subspace category having a second search query character count dependent relevance bias value different than the first character count dependent relevance bias value for the character count determined for the search query received; determining an ordering of the first and second content items matching the search query based at least in part on the first search query character count dependent relevance bias value of the first subspace category and the second search query character count dependent relevance bias value of the second subspace category; and causing to be presented the plurality of content items in accordance with the ordering. 27. The method of claim 25 , wherein the first subspace category comprises one or more terms associated with the first class of content items represented by the first subspace category is linked, and wherein the first search query character count dependent relevance bias value is a relevance bias value of the one or more terms.