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We investigate in user behavior by mapping them to the tasks they are trying to accomplish on a daily basis. . |
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Understanding tasks being undertaken in a scene. Leveraging insights from real world task understanding systems, to propose a framework composed of convolutional neural networks, and an external hierarchical task ontology to produce task descriptions from input images. |
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Leverage an existing hierarchical task ontology in order to understand user behaviour from the task perspective. A lot of daily searches performed involve a user being interested in accomplishing a particular task. Hence, leveraging task information will help in question recommendation. |
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A hierarchy containing tasks segregated according to the category they fall in. This hierarchy describes the task-subtask relationship and how there exists several levels of tasks. These task artifacts are collected from Wikihow articles which can be effectively interpreted as a task in order to build a task hierarchy. |
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Several websites maintain a large hierarchy of categories in order to segregate their pages and provide useful information to the user. These websites range from answer websites like Quora to e-commerce websites like Amazon. However, addition of new categories to this existing hierarchy is often manual. We investigate in updation of hierarchy by using the ground-truth hierarchy and learning the pre-decided paths for making future decisions. |
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Each article in Wikihow contains images belonging to each task being solved in it. These images are a great source in order to understand the tasks being undertaken in scenes. This dataset is a collection of 1.5 million of such images annotated with their corresponding task. |
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We depend on several different platforms to accomplish our tasks. We subconciously select the platforms which might help in solving a particular task. Search Engines adds a layer of carelessness for task-relevance of platforms. We put effort in categorizing the platforms based on what task they focus on solving the most. |
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Several online articles are manually translated to different languages. Effort is put into translating only if it is relevant in a particular linguistic community. We analyze on what tasks are relevant in those communities by observing these patterns. |