Method and system for recommending target object information

A method for recommending target object information, comprising:

• receiving information on a plurality of short-listed objects selected by a first user;
• generating a target object informational recommendation request based on selected information, the target object informational recommendation request including information on the plurality of short-listed objects selected by the first user;
• sending the target object informational recommendation requests to a server configured to determine historical selection information on the plurality of short-listed objects based on the target object informational recommendation request, the historical selection information including historical counts that correspond to number of past times that the plurality of short-listed objects were selected with a target object information recommending request being sent to a server and selection counts that correspond to number of times that the plurality of short-listed objects were selected from past target object informational recommendation requests by second users as a target object;
• and
• receiving at least some of the short-listed objects' historical selection information, sent by the server, comprising:
• calculating support ratios for at least some short-listed objects based on selection counts and historical counts of the at least some short-listed objects;
• ranking the support ratios of the at least some short-listed objects;
• and
• selecting one or more short-listed objects based on the ranked support ratios.

A server for recommending target object information, comprising:

• at least one processor configured to:
• receive a target object informational recommendation request, the target object informational recommendation request including information pertaining to a plurality of short-listed objects selected by a first user;
• determine historical selection information on the plurality of short-listed objects, the historical selection information including historical counts and selection counts, the historical counts corresponding to number of past times that each short-listed object was selected with past target object information recommending request being sent to a server, and the selection counts corresponding to number of times that each short-listed object was selected from past target object informational recommendation requests by second users as a target object;
• and
• send a part or all of the short-listed objects' historical selection information to a client, wherein the sending of the part or all of the short-listed objects' historical selection information to the client comprises to:
• calculate support ratios for the plurality of short-listed objects based on the selection counts and the historical counts of the plurality of short-listed objects;
• rank the support ratios of the plurality of short-listed objects;
• select one or more short-listed objects based on the ranked support ratios;
• and
• send the selected one or more short-listed objects to the client;
• and
• a memory coupled to the at least one processor and configured to provide the at least one processor with instructions.

A client for recommending target object information, comprising:

• at least one processor configured to:
• receive information on a plurality of short-listed objects selected by a first user;
• generate target object informational recommendation requests based on selected information, the target object informational recommendation requests including information pertaining to the plurality of short-listed objects selected by the first user;
• send the target object informational recommendation requests to a server so that the server determines historical selection information on the plurality of short-listed objects based on the target object informational recommendation requests, the historical selection information including historical countsthat correspond to number of past times that the plurality of short-listed objects were selected with a past target object information recommending request being sent to a server and selection counts that correspond to number of times that the plurality of short-listed objects were selected from past target object informational recommendation requests by second users as a target object;
• and
• receive part or all of the short-listed objects' historical selection information sent by the server, comprising to:
• calculate support ratios for at least some short-listed objects based on selection counts and historical counts of the at least some short-listed objects;
• rank the support ratios of the at least some short-listed objects;
• and
• select one or more short-listed objects based on the ranked support ratios;
• and
• a memory coupled to the at least one processor and configured to provide the at least one processor with instructions.

A computer program product for recommending target object information, the computer program product being embodied in a tangible non-transitory computer readable storage medium and comprising computer instructions for:

• receiving a target object informational recommendation request, the target object informational recommendation request including information pertaining to a plurality of short-listed objects selected by a first user;
• determining historical selection information on the plurality of short-listed objects, the historical selection information including historical counts and selection counts, the historical counts corresponding to number of past times that each short-listed object was selected with a past target object information recommending request being sent to a server, and the selection counts corresponding to number of times that each short-listed object was selected from past target object informational recommendation requests by second users as a target object;
• and
• sending a part or all of the short-listed objects' historical selection information to a client, wherein the sending of the part or all of the short-listed objects' historical selection information to the client comprises:
• calculating support ratios for the plurality of short-listed objects based on the selection counts and the historical counts of the plurality of short-listed objects;
• ranking the support ratios of the plurality of short-listed objects;
• selecting one or more short-listed objects based on the ranked support ratios;
• and
• sending the selected one or more short-listed objects to the client.

A computer program product for recommending target object information, the computer program product being embodied in a tangible non-transitory computer readable storage medium and comprising computer instructions for:

• receiving information on a plurality of short-listed objects selected by a first user;
• generating target object informational recommendation requests based on selected information, the target object informational recommendation requests including information pertaining to the plurality of short-listed objects selected by the first user;
• sending the target object informational recommendation requests to a server so that the server determines historical selection information on the plurality of short-listed objects based on the target object recommendation requests, the historical selection information including historical counts that correspond to number of past times that the plurality of short-listed objects were selected with a past target object information recommending request being sent to a server and selection counts that correspond to number of times that the plurality of short-listed objects were selected from past target object informational recommendation requests by second users as a target object;
• and
• receiving part or all of the short-listed objects' historical selection information sent by the server, comprising:
• calculating support ratios for at least some short-listed objects based on selection counts and historical counts of the at least some short-listed objects;
• ranking the support ratios of the at least some short-listed objects;
• and
• selecting one or more short-listed objects based on the ranked support ratios.