1. One or more computer-storage media embodying computer-useable instructions for performing a method comprising:
accessing an aggregate input data set of product information regarding a plurality of product entities, the product information being received from a plurality of sources of product information, the plurality of sources including feed sources and crawl sources;
identifying the plurality of product entities within the product information;
identifying at least one relationship between a target product entity and at least one other product entity based on the product information; and
providing product relationship information for presentation to a user, the product relationship information including the at least one relationship identified between the target product entity and the at least one other product entity.
2. The one or more computer-storage media of claim 1, wherein identifying at least one relationship between the target product entity and the at least one other product entity comprises:
accessing feature information for the target product entity, the feature information for the target product entity including a plurality of feature-value pairs specifying values for a plurality of features of the target product entity;
accessing feature information for the at least one other product entity, the feature information for the at least one other product entity including a plurality of feature-value pairs specifying values for a plurality of features of the at least one other product entity;
identifying the at least one relationship between the target product entity and the at least one other product entity by comparing at least a portion of the feature information for the target product entity against at least a portion of the feature information for the at least one other product entity.
3. The one or more computer-storage media of claim 2, wherein identifying the at least one relationship between the target product entity and the at least one other product entity by comparing at least a portion of the feature information for the target product entity against at least a portion of the feature information for the at least one other product entity comprises:
identifying one or more features as important features for a type of product class of the target product entity and the at least one other product entity; and
comparing feature information corresponding with the one or more important features for the target product entity and the at least one other product entity.
4. The one or more computer-storage media of claim 3, wherein identifying the at least one relationship between the target product entity and the at least one other product entity by comparing at least a portion of the feature information for the target product entity against at least a portion of the feature information for the at least one other product entity includes weighting feature information.
5. The one or more computer-storage media of claim 4, wherein the feature information is weighted based on importance of each feature for a type of product class of the target product entity and the at least one other product entity.
6. The one or more computer-storage media of claim 1, wherein identifying at least one relationship between the target product entity and the at least one other product entity comprises:
determining that the target product entity and the at least one other product entity are identified within text of a crawled document; and
inferring a relationship between the target product entity and the at least one other product entity based on the target product entity and the at least one product entity being identified within the text of the crawled document.
7. The one or more computer-storage media of claim 6, wherein a relationship between the target product entity and the at least one other product entity is inferred based on the target product entity being identified within a predetermined distance from the at least one other product entity within the text of the crawled document.
8. The one or more computer-storage media of claim 1, wherein identifying at least one relationship between the target product entity and the at least one other product entity comprises:
determining that the target product entity and the at least one other product entity are identified within text of a crawled document;
identifying a key phrase within the text of the crawled document, the key phrase being indicative of a type of relationship between the target product entity and the at least one other product entity; and
identifying a relationship between the target product entity and the at least one other product entity based on the key phrase.
9. The one or more computer-storage media of claim 8, wherein identifying a key phrase within the text of the crawled document comprises comparing the text of the crawled document against a store of a plurality of key phrases, wherein each key phrase is associated with a type of relationship.
10. The one or more computer-storage media of claim 9, wherein identifying the relationship between the target product entity and the at least one other product entity based on the key phrase comprises identifying a type of relationship between the target product entity and the at least one other product entity based on the key phrase, the type of relationship indicating that the at least one other product entity comprises one of the following: a competitor from a different brand than the target product entity; an upgrade in the same brand as the target product entity; and a downgrade in the same brand as the target product entity.
11. The one or more computer-storage media of claim 1, wherein providing product relationship information for presentation to a user comprises:
receiving a search query including one or more search terms;
determining that the one or more search terms correspond with the target product entity; and
providing the product relationship information within a product detail page in return to the search query.
12. One or more computer-storage media embodying computer-useable instructions for performing a method comprising:
accessing product information from a plurality of sources, the plurality of sources including feed sources and crawl sources;
identifying a plurality of product entities within the product information;
selecting a target product entity;
identifying a subset of other product entities having a relationship with the target product entity by examining text of documents from crawl sources, wherein a relationship between the target product entity and an other product entity is determined by identifying the target product entity and the other product entity within the text of a document and identifying the presence of a key phrase within the text of the document, the key phrase being indicative of a type of relationship between the target product entity and the other product entity; and
providing product relationship information for the target product entity for presentation to a user, wherein the product relationship information includes the subset of other product entities having a relationship with the target product entity and specifies a type of relationship between the target product entity and each other product entity in the subset of product entities.
13. The one or more computer-storage media of claim 12, wherein the subset of other product entities having a relationship with the target product entity is identified by also comparing product feature information for the target product entity against product feature information for each of the other product entities in the subset of other product entities.
14. The one or more computer-storage media of claim 13, wherein features are weighted based on importance of the features for a product class of the target product entity and the other product entities.
15. The one or more computer-storage media of claim 12, wherein the type of relationship between the target product entity an other product entity indicates that the other product entity is one of the following: a competitor from a different brand than the target product entity, an upgrade in the same brand as the target product entity, and a downgrade in the same brand as the target product entity.
16. The one or more computer-storage media of claim 12, wherein identifying a subset of other product entities having a relationship with the target product entity comprises identifying at least one competitive product entity from a different brand than the target product entity, identifying at least one upgraded product entity from the same brand as the target product entity, and identifying at least one downgraded product entity from the same brand as the target product entity.
17. The one or more computer-storage media of claim 12, wherein identifying a subset of other product entities having a relationship with the target product entity comprises determining a relationship strength between the target product entity and each of the plurality of product entities and selecting the subset of other product entities having the strongest relationship with the target product entity.
18. The one or more computer-storage media of claim 12, wherein providing product relationship information for the target product entity for presentation to a user, comprises:
receiving a search query including one or more search terms;
determining that the one or more search terms correspond with the target product entity; and
providing the product relationship information within a product detail page in return to the search query.
19. One or more computer-storage media embodying computer-useable instructions for performing a method comprising:
accessing product information from a plurality of sources, the plurality of sources including both feed sources and crawl sources;
identifying product entities within the product information;
determining correlations among product entities within the product information;
indexing information regarding the product entities and the correlations among the product entities; and
generating a product class detail page by identifying a subset of product entities associated with a given product class and summarizing product information for the subset of product entities including correlations identified within the subset of product entities.
20. The one or more computer-storage media of claim 19, wherein the method further comprises:
receiving a search query including one or more query terms;
determining that the one or more query terms include a type of product class;
determining that the type of product class included in the one or more query terms corresponds with the given product class associated with the product class detail page; and
providing the product class detail page in return to the search query for presentation to a user.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. An improved leaded aviation fuel composition for piston driven aircraft which comprises:
(1) an aviation gasoline base fuel having an unleaded MON of at least about 90 and containing between about 0.013 to 0.6 grams lead per liter of gasoline base fuel from a lead-containing octane improver, and
(2) 0.08 to 0.40 wt % of at least one aromatic amine effective to boost the peak indicated mean effective pressure as measured by ASTM D909 by at least 1 psi above the PIMEP of the leaded but unaminated base fuel, said aromatic amine having the formula NH2\u2014Ar\u2014(R1)n wherein R1 is C1-C10 alkyl, Ar is a phenyl group and n is an integer from 0 to 3 with the proviso that R1 is positioned in the meta- or para-position(s) on the aromatic ring, wherein the resulting aviation fuel composition has a peak indicated means effective pressure (PIMEP) as measured by ASTM D909 greater than about 210 psi.
2. The composition of claim 1 wherein R1 is C1-C5 alkyl.
3. The composition of claim 1 wherein n is 1 to 2.
4. The composition of claim 1 wherein the aromatic amine is selected from the group consisting of 3,5-dimethylphenylamine, 3,4-dimethylphenylamine, 3-methylphenylamine, 3-ethylphenylamine, 4-ethylphenylamine, 4-isopropylphenylamine and 4-t-butylphenylamine.
5. A leaded aminated aviation fuel composition having a peak indicated mean effective pressure as measured by ASTM D909 of greater than about 200 psi for piston driven aircraft which comprises:
(1) an aviation gasoline base fuel having an unleaded MON of 91 to 95 and containing between about 0.013 to 0.6 grams lead per liter of gasoline base fuel of tetraethyl lead as octane improver, and
(2) 0.08 to 0.40 wt % of at least one aromatic amine effective to boost the peak indicated mean effective pressure of the leaded base fuel by at least 1 psi above the PIMEP of the leaded fuel prior to the addition of the amine, said aromatic amine being of the formula NH2\u2014Ar\u2014(R1)n wherein R1 is halogen or a combination of halogen and C1-C10 alkyl with the proviso that the alkyl group is positioned at the meta- or para-position(s) on the aromatic ring.
6. The composition of claim 5 wherein the halogen is Cl or F.
7. The composition of claim 5 wherein the PIMEP of the leaded base fuel is boosted by at least 2 psi above the PIMEP of the leaded fuel prior to the addition of the amine, and the PIMEP of the leaded aminated aviation fuel is greater than about 205 psi.
8. The composition of claim 5 wherein the PIMEP of the leaded base fuel is boosted by at least 5 psi above the PIMEP of the leaded fuel prior to the addition of the amine.
9. The composition of claim 5 wherein the PIMEP of the leaded base fuel is boosted by at least 10 psi above the PIMEP of the leaded fuel prior to the addition of the amine.
10. A method for a increasing the peak indicated mean effective pressure of leaded aviation fuel composition to about 200 psi for use in piston driven aircraft which comprises admixing with an aviation base fuel having a MON of at least 90, an amount of tetraethyl lead between about 0.013 to about 0.6 grams lead per liter of base fuel, and from about 0.08 to 0.40 wt % of one or more aromatic amines of the formula NH2\u2014Ar\u2014(R1)n where R1 is selected from the group consisting of C1-C10 alkyl, halogen and mixtures thereof, Ar is a phenyl group and n is an integer from 0 to 3 with the proviso that when R1 is alkyl it is positioned in the meta- andor para-position(s) on the aromatic ring effective to boost the peak indicated mean effective pressure of the leaded base fuel at least 1 psi above the PIMEP of the leaded fuel prior to the addition of the amine.
11. A method for operating a piston driven aircraft at high fuel-air ratios with a leaded fuel which comprises operating the piston driven aircraft with a leaded aminated aviation gasoline base fuel having a peak indicated mean effective pressure of greater than about 200 psi containing between about 0.013 to 0.6 grams of lead per liter of gasoline base fuel of TEL and from about 0.08 to 0.40 wt % of one or more aromatic amines of the formula NH2\u2014Ar\u2014(R1)n where K1 is selected from the group consisting of C1-C10 alkyl, halogen and mixtures thereof, Ar is a phenyl group and n is an integer from 0 to 3 with the proviso that when R1 is alkyl it is positioned in the meta- andor para-position(s) on the aromatic ring effective to boost the peak indicated mean effective pressure of the leaded base fuel at least 1 psi above the PIMEP of the leaded fuel prior to the addition of the amine, the leaded aviation gasoline fuel containing the aromatic amine having a motor octane number of at least 100.