Information selecting apparatus, information selecting method, information selecting/reproducing apparatus, and computer program for selecting information
First Claim
1. An information selecting apparatus comprising:
- a feature data list containing a plurality of index values of a plurality of feature data previously set and indicative of various sorts of featured contents of a plurality of contents information including at least one of voice information, picture information, and text information;
user-dependable sensitivity tables, which can be updated and include a plurality of correlative values between the plurality of feature data and a plurality of retrieve keys used to retrieve the plurality of contents information;
acquiring means for acquiring the retrieve key;
selection means operated in such a manner that when one retrieve key is acquired by the acquiring means, at least one contents information, which is coincident with the one retrieve key, is selected from the plurality of contents information on the basis of both the sensitivity table and the feature data list;
judgment means for judging as to whether or not each of the selected contents information is coincident with the one retrieve key on the basis of an individual judgment by a user;
first statistical processing means for quantifying relevancy between the one retrieve key and each of the plurality of feature data, with respect to the contents information judged to be coincident with the one retrieve key by the judgement means, in a statistical manner based on the index values with respect to the feature data stored in the corresponding feature data list to obtain a coincident index amount;
second statistical processing means for quantifying relevancy between the one retrieve key and each of the plurality of feature data, with respect to the contents information judged not to be coincident with the one retrieve key by the judgement means, in a statistical manner based on the index values with respect to the feature data stored in the corresponding feature data list to obtain a incoincident index amount;
calculation means for calculating a new correlative values between the one retrieve key and the plural feature data, respectively, based on the coincident index amount and the incoincident index amount; and
update means for updating a portion of the sensitivity table, which is related to the one retrieve key, by using the new correlative value calculated by the calculation means.
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Abstract
A sensitivity fable is prepared, and this sensitivity table contains correlative values between respective retrieve keywords (for example, “cheerful music piece”, and “energetic music piece”) and respective feature words (for instance, “cheerful” and “vitality”), and also may be updated. A feature word list is prepared in which symbols “1” and “0” denote as to whether or not a feature related to each of these feature words is present. When a user inputs a desirable retrieve key, a plurality of music pieces which are fitted to this, retrieve key are selected on the basis of both the sensitivity table and the feature word list. A feature in sensitivities of the user is extracted in a quantitative manner by a statistical manner by judging as to whether or not these music pieces are skipped by the user on the basis of individual judgment by the user. The correlative values of the sensitivity table are updated based upon this feature.
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Citations
24 Claims
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1. An information selecting apparatus comprising:
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a feature data list containing a plurality of index values of a plurality of feature data previously set and indicative of various sorts of featured contents of a plurality of contents information including at least one of voice information, picture information, and text information;
user-dependable sensitivity tables, which can be updated and include a plurality of correlative values between the plurality of feature data and a plurality of retrieve keys used to retrieve the plurality of contents information;
acquiring means for acquiring the retrieve key;
selection means operated in such a manner that when one retrieve key is acquired by the acquiring means, at least one contents information, which is coincident with the one retrieve key, is selected from the plurality of contents information on the basis of both the sensitivity table and the feature data list;
judgment means for judging as to whether or not each of the selected contents information is coincident with the one retrieve key on the basis of an individual judgment by a user;
first statistical processing means for quantifying relevancy between the one retrieve key and each of the plurality of feature data, with respect to the contents information judged to be coincident with the one retrieve key by the judgement means, in a statistical manner based on the index values with respect to the feature data stored in the corresponding feature data list to obtain a coincident index amount;
second statistical processing means for quantifying relevancy between the one retrieve key and each of the plurality of feature data, with respect to the contents information judged not to be coincident with the one retrieve key by the judgement means, in a statistical manner based on the index values with respect to the feature data stored in the corresponding feature data list to obtain a incoincident index amount;
calculation means for calculating a new correlative values between the one retrieve key and the plural feature data, respectively, based on the coincident index amount and the incoincident index amount; and
update means for updating a portion of the sensitivity table, which is related to the one retrieve key, by using the new correlative value calculated by the calculation means. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. An information selecting method used in an information selecting apparatus having:
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a feature data list containing a plurality of index values of a plurality of feature data previously set and indicative of various sorts of featured contents of a plurality of contents information including at least one of voice information, picture information, and text information; and
user-dependable sensitivity tables, which can be updated and include a plurality of correlative values between the plurality of feature data and a plurality of retrieve keys used to retrieve the plurality of contents information, the information selecting method comprising the steps of;
acquiring one retrieve key;
selecting at least one of the plurality of contents information, the at least one contents information being coincident with the one retrieve key, on the basis of the sensitive table and the feature data list when the one retrieve key is acquired in the acquiring step;
judging as to whether or not each of the selected contents information is coincident with the one retrieve key on the basis of an individual judgment by a user;
quantifying relevancy between the one retrieve key and each of the plurality of feature keys, with respect to the contents information judged to be coincident with the one retrieve key in the judging step, in a statistical manner based on the index values with respect to the feature data stored in the corresponding feature data list to obtain a coincident index amount;
quantifying relevancy between the one retrieve key and each of the plurality of feature data, with respect to the contents information judged not to be coincident with the one retrieve key in the judging step, in a statistical manner based on the index values with respect to the feature data stored in the corresponding feature data list to obtain a incoincident index amount;
calculating a new correlative values between the one retrieve key and the plurality of feature data, respectively, based on the coincident index amount and the incoincident index amount; and
updating a portion of the sensitivity table, which is related to the one retrieve key, by using the new correlative value calculated. - View Dependent Claims (18, 19)
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20. An information selecting/reproducing apparatus comprising:
an information selecting apparatus including;
a feature data list containing a plurality of index values of a plurality of feature data previously set and indicative of various sorts of featured contents of a plurality of contents information including at least one of voice information, picture information, and text information;
user-dependable sensitivity tables, which can be updated and include a plurality of correlative values between the plurality of feature data and a plurality of retrieve keys used to retrieve the plurality of contents information;
acquiring means for acquiring one retrieve key;
selection means operated in such a manner that when the one retrieve key is acquired by the acquiring means, at least one contents information, which is coincident with the one retrieve key, is selected from the plurality of contents information on the basis of both the sensitivity table and the feature data list;
judgment means for judging as to whether or not each of the selected contents information is coincident with the one retrieve key on the basis of an individual judgment by a user;
first statistical processing means for quantifying relevancy between the one retrieve key and each of the plurality of feature data, with respect to the contents information judged to be coincident with the one retrieve key by the judgement means, in a statistical manner based on the index values with respect to the feature data stored in the corresponding feature data list to obtain a coincident index amount;
second statistical processing means for quantifying relevancy between the one retrieve key and each of the plurality of feature data, with respect to the contents information judged not to be coincident with the one retrieve key by the judgement means, in a statistical manner based on the index values with respect to the feature data stored in the corresponding feature data list to obtain a incoincident index amount calculation means for calculating a new correlative values between the one retrieve key and the plural feature data, respectively, based on the coincident index amount and the incoincident index amount; and
update means for updating a portion of the sensitivity table, which is related to the one retrieve key, by using the new correlative value calculated by the calculation means;
storage means for storing thereinto the plurality of contents information; and
reproducing means for reproducing the at least one of the plurality of contents information selected by the selection means. - View Dependent Claims (21, 22)
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23. A computer program capable of causing a computer to function as an information selecting apparatus having:
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a feature data list containing a plurality of index values of a plurality of feature data previously set and indicative of various sorts of featured contents of a plurality of contents information including at least one of voice information, picture information, and text information; and
user-dependable sensitivity tables, which can be updated and include a plurality of correlative values between the plurality of feature data and a plurality of retrieve keys used to retrieve the plurality of contents information, the computer program comprising the steps of;
acquiring one desirable retrieve key;
selecting at least one of the plurality of contents information, the at least one contents information being coincident with the one retrieve key, on the basis of the sensitive table and the feature data list when the one retrieve key is acquired in the acquiring step;
judging as to whether or not each of the selected contents information is coincident with the one retrieve key on the basis of an individual judgment by a user;
quantifying relevancy between the one retrieve key and each of the plurality of feature data, with respect to the contents information judged to be coincident with the one retrieve key in the judging step, in a statistical manner based on the index values with respect to the feature data stored in the corresponding feature data list to obtain a coincident index amount;
quantifying relevancy between the one retrieve key and each of the plurality of feature data, with respect to the contents information judged not to be coincident with the one retrieve key in the judging step, in a statistical manner based on the index values with respect to the feature data stored in the corresponding feature data list to obtain a incoincident index amount calculating a new correlative values between the one retrieve key and the plurality of feature data, respectively, based on the coincident index amount and the incoincident index amount; and
updating a portion of the sensitivity table, which is related to the one retrieve key, by using the new correlative value calculated.
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24. A computer program capable of causing a computer to function as an information selecting/reproducing apparatus having:
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a feature data list containing a plurality of index values of a plurality of feature data previously set and indicative of various sorts of featured contents of a plurality of contents information including at least one of voice information, picture information, and text information;
user-dependable sensitivity tables, which can be updated and include a plurality of correlative values between the plurality of feature data and a plurality of retrieve keys used to retrieve the plurality of contents information;
the computer program comprising the steps of;
acquiring one retrieve key;
selecting at least one of the plurality of contents information, the at least one contents information being coincident with the one retrieve key, on the basis of the sensitive table and the feature data list when the one retrieve key is acquired in the acquiring step;
judging as to whether or not each of the selected contents information is coincident with the one retrieve key on the basis of an individual judgment by a user;
quantifying relevancy between the one retrieve key and each of the plurality of feature data, with respect to the contents information judged to be coincident with the one retrieve key in the judging step, in a statistical manner based on the index values with respect to the feature data stored in the corresponding feature data list to obtain a coincident index amount;
quantifying relevancy between the one retrieve key and each of the plurality of feature data, with respect to the contents information judged not to be coincident with the one retrieve key in the judging step, in a statistical manner based on the index values with respect to the feature data stored in the corresponding feature data list to obtain a incoincident index amount calculating a new correlative values between the one retrieve key and the plurality of feature data, respectively, based on the coincident index amount and the incoincident index amount; and
updating a portion of the sensitivity table, which is related to the one retrieve key, by using the new correlative value calculated;
storing the plurality of contents information; and
reproducing the at least one of the plurality of contents information selected by the selection means.
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Specification