1. A copolyamide, comprising macromolecular units at least the following monomers:
(I) at least one difunctional monomer represented by the abbreviation AB
(II) at least one multifunctional monomer represented by the abbreviation Aa in which A represents a carboxylic acid function
(III) at least one multifunctional monomer represented by the Bb in which B represents an amine function
the functions A and B being capable of reacting with each other to form an amide unit
a and b being numbers that satisfy the following relationships:
a\u22672
b\u22672
a\u22673 if b=2
b\u22673 if a=2
the ratio
ax
ax
+
by
\u2003is between 0.4 and 0.6,
in which x represents the number of moles of monomer (II) and y represents the number of moles of monomer (III)
the ratio
ax
+
by
(
a
+
b
)
*
(
x
+
y
+
0.9
\u2062
z
)
\u2003is less than 0.12%,
in which z represents the number of moles of monomer (I).
2. The copolyamide as claimed in claim 1, wherein a\u22673 and b\u22673.
3. The copolyamide as claimed in claim 1, wherein it comprises no unit derived from a monofunctional monomer.
4. The copolyamide as claimed in claim 1 wherein the ratio
x
\u2062
x
+
y
x
+
y
+
0.9
*
z
is less than 0.2%.
5. The copolyamide as claimed in claim 1 wherein the monomers (II) and (III) are chosen from the monomers represented by formula (a)
in which
C is a covalent bond or an aliphatic hydrocarbon
radical that optionally comprises hetero atoms, and containing from 1 to 20 carbon atoms,
X respectively represents for the monomers (III) and (II) a radical
R4 is a linear or cyclic, aromatic or aliphatic hydrocarbon radical containing at least two carbon atoms and optionally comprising hetero atoms,
m is an integer between 3 and 8, limits included.
6. The copolyamide as claimed in claim 1 wherein the monomer (I) is chosen from caprolactam and aminocaproic acid, and mixtures thereof.
7. The copolyamide as claimed in claim 1 wherein the melt flow index, measured at 275\xb0 C. under 5 kg, is less than 10 g10 minutes.
8. The copolyamide as claimed in claim 1 wherein it is obtained by mixing, in an extrusion device, at least the following three compounds:
compound (I): a polyamide containing repeating units of formula (c)
below:
\u2014(NH\u2014R1\u2014CO\u2014(c)
compound (II): monomer (II) as defined above
compound (III): monomer (III) as defined above
the ratio
ax
ax
+
by
,
being between 0.4 and 0.6,
in which x represents the number of moles of compound (II) and y represents the number of moles of compound (III)
the ratio
ax
+
by
(
a
+
b
)
*
(
x
+
y
+
z
)
\u2003being less than 0.3%
in which z represents the number of moles of repeating units in compound (I)
the radical R1 being a hydrocarbon radical optionally comprising hetero atoms.
9. A composition comprising a copolyamide matrix and a reinforcing filler, wherein the matrix consists of a copolyamide as claimed in claim 1.
10. A yarn, fiber, filament, molded or injection-molded article, or film consisting of a copolyamide or of a composition as claimed in claim 1.
11. An article obtained by extrusion blow-molding of a polyamide or of a composition as claimed in claim 1.
12. The copolyamide as claimed in claim 5, wherein C is a aliphatic hydrocarbon radical optionally comprising hetero atoms, and containing from 1 to 6 carbon atoms.
13. The copolyamide as claimed in claim 8, wherein the ratio
ax
+
by
(
a
+
b
)
*
(
x
+
y
+
z
)
is less than 0.2%.
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. A method comprising:
detect, at a computer system, commencement of a user session in an on-line trading platform, the user session comprising an initial search request;
examine the initial search request in the user session;
determine that the initial search request includes a phrase that represents a brand name, the brand name identifying a type of product manufactured by a particular company under a particular name;
examine brand resilience value assigned to the brand name, the brand resilience value indicating importance of the brand name to users of the on-line trading platform; and
based on the brand resilience value, using at least one processor of the computer system, select a search strategy for the user session.
2. The method of claim 1, wherein the search strategy is a brand-focused search strategy, the brand-focused search strategy comprising presenting item listings associated with the brand name and omitting presenting item listings associated with further brand names that are distinct from the brand name.
3. The method of claim 1, wherein the search strategy is a brand-neutral search strategy, the brand-neutral search strategy comprising presenting item listings associated with the brand name and also presenting item listings associated with one or more further brand names that are distinct from the brand name.
4. The method of claim 1, comprising determining brand resilience value for the brand name in response to the initial search request.
5. The method of claim 1, comprising accessing the brand resilience value for the brand name in response to the initial search request, the brand resilience value being stored in a database.
6. The method of claim 4, comprising determining the brand resilience value as a function of brand popularity value for the brand name and the on-click percentage value for the brand name.
7. The method of claim 4, comprising determining the brand popularity value for the brand name as a function of a number of searches in the on-line trading platform, over a period of time, that include the brand name.
8. The method of claim 4, comprising determining the on-click percentage value for the brand name as a focused number of clicks by a user, during a single session, on references to item listings that include a particular brand name, divided by a total number of clicks by the user, during that same session, on references to item listings that include any brand name.
9. The method of claim 8, wherein the determining of the brand resilience value comprises:
determining a position of a brand name in an x-y scatterplot, where x-axis is log(brand popularity value) and y-axis is log(on-click percentage value);
calculate a line of regression m(x) in the x-y scatterplot with respect to a plurality of brands, the brand name being from the plurality of brands;
calculating a standard deviation sd with respect to the plurality of brands in the x-y scatterplot; and
calculating the brand resilience value as a number of standard deviations above or below the line of regression.
10. The method of claim 1, wherein the selected search strategy utilizes brand affinity value for the brand name and a further brand name, the brand affinity value indicating likelihood of a user who is interested in a target brand represented by the brand name being also interested in a further brand represented by a further brand name, the determining of the brand affinity value based on correlation of transactions with respect to item listing that include the brand name and transactions with respect to item listings that include the further brand name, by the same user in the on-line trading platform.
11. A computer-implemented system comprising:
at least one processor coupled to a memory;
a new session detector to detect, using the at least one processor, commencement of a user session in an on-line trading platform, the user session comprising an initial search request;
a session type module to:
examine, using the at least one processor, the initial search request in the user session, and
determine, using the at least one processor, that the initial search request includes a phrase that represents a brand name, the brand name identifying a type of product manufactured by a particular company under a particular name;
a brand resilience module to examine, using the at least one processor, brand resilience value assigned to the brand name, the brand resilience value indicating importance of the brand name to users of the on-line trading platform; and
a search strategy selector to select, based on the brand resilience value, using the at least one processor, a search strategy for the user session.
12. The system of claim 11, wherein the search strategy is a brand-focused search strategy, the brand-focused search strategy comprising presenting item listings associated with the brand name and omitting presenting item listings associated with further brand names that are distinct from the brand name.
13. The system of claim 11, wherein the search strategy is a brand-neutral search strategy, the brand-neutral search strategy comprising presenting item listings associated with the brand name and also presenting item listings associated with one or more further brand names that are distinct from the brand name.
14. The system of claim 11, wherein the brand resilience module is to determine brand resilience value for the brand name in response to the initial search request.
15. The system of claim 11, wherein the brand resilience module is to access the brand resilience value for the brand name in response to the initial search request, the brand resilience value being stored in a database.
16. The system of claim 14, wherein the brand resilience module is to determine brand resilience value for the brand name as a function of brand popularity value for the brand name and the on-click percentage value for the brand name.
17. The system of claim 14, wherein the brand resilience module is to determine the brand popularity value for the brand name as a function of a number of searches in the on-line trading platform, over a period of time, that include the brand name.
18. The system of claim 14, wherein the brand resilience module is to determine the on-click percentage value for the brand name as a focused number of clicks by a user, during a single session, on references to item listings that include a particular brand name, divided by a total number of clicks by the user, during that same session, on references to item listings that include any brand name.
19. The system of claim 11, wherein the selected search strategy utilizes brand affinity value for the brand name and a further brand name, the brand affinity value indicating likelihood of a user who is interested in a target brand represented by the brand name being also interested in a further brand represented by a further brand name.
20. A machine-readable non-transitory storage medium having instruction data to cause a machine to:
detect commencement of a user session in an on-line trading platform, the user session comprising an initial search request;
examine the initial search request in the user session;
determine that the initial search request includes a phrase that represents a brand name, the brand name identifying a type of product manufactured by a particular company under a particular name;
examine brand resilience value assigned to the brand name, the brand resilience value indicating importance of the brand name to users of the on-line trading platform; and
based on the brand resilience value, select a search strategy for the user session.