Abstract: An approach is provided for cleaning data sets for a search process. The cleanup platform determines one or more reference documents associated with at least one region. Next, the cleanup platform processes and/or facilitates a processing of the one or more reference documents to determine a frequency distribution of one or more candidate stop words with respect to the at least one region. Then, the cleanup platform causes, at least in part, selection of one or more stop words applicable to the at least one region from the one or more candidate stop words based, at least in part, on one or more frequency distribution criteria. Additionally, the cleanup platform processes and/or facilitates a processing of at least one data set associated with a search process to generate at least one enhanced data set by filtering the one or more stop words from the at least one data set.

Abstract: An approach is provided for providing a contextual model based upon user context data. A context modeling platform collects context data on offline activities of a user. The context modeling platform maps the collected user context data as context data points into a multidimensional contextual model. The context modeling platform causes, at least in part, actions that result in reception of at least one multidimensional contextual model of another user. The context modeling platform compares the multidimensional contextual model of the user with the multidimensional contextual model of the another user.

Abstract: An approach is provided for cleaning data sets for a search process. The cleanup platform determines one or more reference documents associated with at least one region. Next, the cleanup platform processes and/or facilitates a processing of the one or more reference documents to determine a frequency distribution of one or more candidate stop words with respect to the at least one region. Then, the cleanup platform causes, at least in part, selection of one or more stop words applicable to the at least one region from the one or more candidate stop words based, at least in part, on one or more frequency distribution criteria. Additionally, the cleanup platform processes and/or facilitates a processing of at least one data set associated with a search process to generate at least one enhanced data set by filtering the one or more stop words from the at least one data set.

Abstract: An approach is provided for providing a contextual model based upon user context data. A context modeling platform collects context data on offline activities of a user. The context modeling platform maps the collected user context data as context data points into a multidimensional contextual model. The context modeling platform causes, at least in part, actions that result in reception of at least one multidimensional contextual model of another user. The context modeling platform compares the multidimensional contextual model of the user with the multidimensional contextual model of the another user.

Abstract: An approach is provided for providing a contextual model based upon user context data. A context modeling platform collects context data of a user from a plurality of sources, and the sources include at least online activities of the user. The context modeling platform maps the collected user context data as context data points into a multidimensional contextual model.