Abstract: A system and device are provided for intelligently, or programmatically, assigning weights for one or more criterion utilized to score media content items based on an analysis of a group of media content items. In general, scoring criteria to be used to score media content items for a user are defined. A group of media content items associated with the user is then analyzed with respect to the criteria to provide results such as a number or percentage of media content items from the group of media content items that satisfy each of the scoring criteria. Based on the results of the analysis, a weight is assigned to each of the scoring criteria. Thereafter, media content items are scored as a function of the weights assigned to the scoring criteria.

Abstract: A system and method for assigning user preference settings for fields in a category using selected settings for only a subset of the media category fields is disclosed. A subset of fields for a media category is defined. A base setting for each field in the subset of the category fields is established. The base setting may be a weight or preference value. The base setting may be established by the user selecting a base setting or may be a default base setting. Once a user selects the settings for the subset of category fields, a set weight for the fields in the category not in the subset is determined using the base setting. That is possible because the fields in the subset of category fields are chosen from fields that contain aspects and attributes of the other fields.

Abstract: A system and method are provided for intelligently, or programmatically, assigning weights for one or more criterion utilized to score media content items based on an analysis of a group of media content items. In general, scoring criteria to be used to score media content items for a user are defined. A group of media content items associated with the user is then analyzed with respect to the criteria to provide results such as a number or percentage of media content items from the group of media content items that satisfy each of the scoring criteria. Based on the results of the analysis, a weight is assigned to each of the scoring criteria. Thereafter, media content items are scored for the user as a function of the weights assigned to the scoring criteria.

Abstract: A fuzzy, or ambiguous, keyword searching process and systems for implementing the fuzzy keyword searching process are provided. In general, one or more keyword search terms are first identified for a search. Next, a user is enabled to adjust a logical fuzziness, or logical ambiguity, for each of the one or more keyword search terms. As used herein, logical fuzziness of a keyword search term refers to the extent to which associated keywords are considered for the search. In one embodiment, the user may also be enabled to view and adjust keyword associations for each of the keyword search terms. A search is then performed based on the one or more keyword search terms and the logical fuzziness of the one or more keyword search terms, and results of the search are presented to the user.

Abstract: A system and method are provided for intelligently, or programmatically, assigning weights for one or more criterion utilized to score media content items based on an analysis of a group of media content items. In general, scoring criteria to be used to score media content items for a user are defined. A group of media content items associated with the user is then analyzed with respect to the criteria to provide results such as a number or percentage of media content items from the group of media content items that satisfy each of the scoring criteria. Based on the results of the analysis, a weight is assigned to each of the scoring criteria. Thereafter, media content items are scored for the user as a function of the weights assigned to the scoring criteria.

Abstract: A system and method are provided for intelligently, or programmatically, assigning weights for one or more criterion utilized to score media content items based on an analysis of a group of media content items. In general, scoring criteria to be used to score media content items for a user are defined. A group of media content items associated with the user is then analyzed with respect to the criteria to provide results such as a number or percentage of media content items from the group of media content items that satisfy each of the scoring criteria. Based on the results of the analysis, a weight is assigned to each of the scoring criteria. Thereafter, media content items are scored for the user as a function of the weights assigned to the scoring criteria.

Abstract: A fuzzy, or ambiguous, keyword searching process and systems for implementing the fuzzy keyword searching process are provided. In general, one or more keyword search terms are first identified for a search. Next, a user is enabled to adjust a logical fuzziness, or logical ambiguity, for each of the one or more keyword search terms. As used herein, logical fuzziness of a keyword search term refers to the extent to which associated keywords are considered for the search. In one embodiment, the user may also be enabled to view and adjust keyword associations for each of the keyword search terms. A search is then performed based on the one or more keyword search terms and the logical fuzziness of the one or more keyword search terms, and results of the search are presented to the user.

Abstract: A system and method for assigning user preference settings for fields in a category using selected settings for only a subset of the media category fields is disclosed. A subset of fields for a media category is defined. A base setting for each field in the subset of the category fields is established. The base setting may be a weight or preference value. The base setting may be established by the user selecting a base setting or may be a default base setting. Once a user selects the settings for the subset of category fields, a set weight for the fields in the category not in the subset is determined using the base setting. That is possible because the fields in the subset of category fields are chosen from fields that contain aspects and attributes of the other fields.

Abstract: A system and method for archiving a user's media collection are provided. In general, a central archiving system stores high-quality versions of a number of known media files and a number of known encoding algorithms. First, each media file in the user's media collection and an encoding algorithm used to encode each media file are classified as either known or unknown to the archiving server. For each known media file encoded with a known encoding algorithm, the archive includes information identifying the media file, information identifying the encoding algorithm for the media file, and optionally the one or more quality parameters such as bit rate, sampling frequency, and the like for the media file. For each unknown media file and/or media file encoded with an unknown CODEC or encoding algorithm, the archive includes the media file, which is uploaded and stored at the archiving system.

Abstract: A fuzzy, or ambiguous, keyword searching process and systems for implementing the fuzzy keyword searching process are provided. In general, one or more keyword search terms are first identified for a search. Next, a user is enabled to adjust a logical fuzziness, or logical ambiguity, for each of the one or more keyword search terms. As used herein, logical fuzziness of a keyword search term refers to the extent to which associated keywords are considered for the search. In one embodiment, the user may also be enabled to view and adjust keyword associations for each of the keyword search terms. A search is then performed based on the one or more keyword search terms and the logical fuzziness of the one or more keyword search terms, and results of the search are presented to the user.

Abstract: A system and method for assigning user preference settings for fields in a category using selected settings for only a subset of the media category fields is disclosed. A subset of fields for a media category is defined. A base setting for each field in the subset of the category fields is established. The base setting may be a weight or preference value. The base setting may be established by the user selecting a base setting or may be a default base setting. Once a user selects the settings for the subset of category fields, a set weight for the fields in the category not in the subset is determined using the base setting. That is possible because the fields in the subset of category fields are chosen from fields that contain aspects and attributes of the other fields.

Abstract: A system and method for archiving a user's media collection are provided. In general, a central archiving system stores high-quality versions of a number of known media files and a number of known encoding algorithms. First, each media file in the user's media collection and an encoding algorithm used to encode each media file are classified as either known or unknown to the archiving server. For each known media file encoded with a known encoding algorithm, the archive includes information identifying the media file, information identifying the encoding algorithm for the media file, and optionally the one or more quality parameters such as bit rate, sampling frequency, and the like for the media file. For each unknown media file and/or media file encoded with an unknown CODEC or encoding algorithm, the archive includes the media file, which is uploaded and stored at the archiving system.

Abstract: A method and system are provided for rescoring media items in a playlist in response to associated user events. In one embodiment, media items in a playlist are scored based on user preferences of an associated user, and the playlist is sorted based on the scores of the media items. At some point during playback of the media items in the playlist, a user event is detected. In response to detecting the user event, a reason for the user event is determined. Then, matching media items in the playlist are rescored, and the playlist is resorted. The matching media items are media items that match, at least to some degree, the media item with respect to which the user event occurred in light of the reason for the user event.