Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a method for determining routes. Starting and destination points, and any user constraints, are identified for travel. Initial routes are determined between the starting and destination points. Each initial route is segmented into segments. Attribute oriented routes are determined using the segments. Entities associated with each segment are determined. Attributes are identified for each entity and are aggregated and ranked along all the determined initial routes, and emerging attributes are determined. Attribute oriented routes are determined based on the emerging attributes including: identifying a theme for an attribute oriented route, identifying a set of entities from the determined entities that are associated with the emerging attributes, and creating the attribute oriented route that passes through a region that includes the entities.

Abstract: First indicators may be obtained, each first indicator associated with a respective first web page document. A classification type of each first web page document may be determined, based on the respective first indicators and a respective first content of each first web page document. A set of candidate documents that are included in the first web page documents may be selected, based on the determined classification type. For each one of the candidate documents, a group of first attention geography items and a group of first content geography items associated with the each one of the candidate documents may be determined. A determination may be made whether each of the candidate documents includes a first hyperlocal content page document, based on the group of first attention geography items and the group of first content geography items that are associated with the candidate documents.

Abstract: Systems, methods, and computer-readable media for generating a research progression summary are provided. A research progression summary provides a snapshot of documents (e.g., articles) that have had a significant impact on a particular field of research, or at least a portion thereof, over time. Research progression sorts through all accessible relevant documents, analyzes the importance of each, and summarizes for presentation only those documents determined to be of particular importance with respect to a topic of interest (i.e., the particular field of research or some portion thereof). In this manner, a researcher can readily determine how the thinking with respect to a particular topic has progressed over time. By way of example only, the research progression summary may focus on one or more of historical developments in a particular field, current developments with respect to a topic of interest, or an overall summary of a particular field/topic.

Abstract: The architecture utilizes the network effects of patents, journals, authors, institutions, and funding entities, for example, to establish an objective reputation factor. The reputation factor contributes to a higher perceived relevance as well as provides interesting new services that could be built on top. The algorithm takes into account not only the number of cited-by references for a certain paper, author, or institution, but can also generate a higher ranking for cross-disciplinary citations, citations establishing a new area of science, acknowledgement citations, and constantly-updated reputation factors of different important entities, such as co-authorship, institutional affiliation, and journal impact factor. Impact factors can be fed back into the system for consideration in generating the reputation factor.