Abstract: Lottery tickets and lottery gaming systems and methods providing such lottery tickets, wherein the lottery tickets each have a connected symbol set feature including a plurality of connected symbol sets, a plurality of player symbols, and potential awards that can be won based on the connected symbol sets and the player symbols.

Abstract: Lottery tickets and lottery gaming systems and methods providing such lottery tickets, wherein the lottery tickets each have a connected symbol set feature including a plurality of connected symbol sets, a plurality of player symbols, and potential awards that can be won based on the connected symbol sets and the player symbols.

Abstract: A processor circuit of a gaming device and/or gaming system determine a first game symbol associated with a first game award value at a first game symbol position of an array of game symbol positions, and a second game symbol associated with a second game award value is determined at a second game symbol position of the array of game symbol positions. A first total game award value is determined for a game award based on the first game award value and the second game award value. Based on a further determination that the first game symbol position is adjacent to the second game symbol position in the array, the first total game award value of the game award is increased to a second total game award value, and the game award comprising the second total game award value is awarded.

Abstract: Lottery tickets and lottery gaming systems and methods providing such lottery tickets, wherein the lottery tickets each have a connected symbol set feature including a plurality of connected symbol sets, a plurality of player symbols, and potential awards that can be won based on the connected symbol sets and the player symbols.

Abstract: A system selects a set of advertisement media associated with a product. A set of persistent advertisement media from the set of advertisement media is identified based on one or more tests. A Gaussian Bayesian (GB) network based on the set of advertisement media. A net persistence rate for each of the set of persistent advertisement media is determined based on the GB network. a competitor factor associated with another vendor of the product is computed based on one or more marketing parameters associated with the another vendor. A predicted sales (PS) value associated with each of the set of persistent advertisement media is determined. A persistent advertisement medium is selected in real time based on corresponding PS value. An advertisement is rendered on the selected persistent advertisement medium in real time for marketing the product.

Abstract: A system selects a set of advertisement media associated with a product. A set of persistent advertisement media from the set of advertisement media is identified based on one or more tests. A Gaussian Bayesian (GB) network based on the set of advertisement media. A net persistence rate for each of the set of persistent advertisement media is determined based on the GB network. a competitor factor associated with another vendor of the product is computed based on one or more marketing parameters associated with the another vendor. A predicted sales (PS) value associated with each of the set of persistent advertisement media is determined. A persistent advertisement medium is selected in real time based on corresponding PS value. An advertisement is rendered on the selected persistent advertisement medium in real time for marketing the product.