منابع مشابه
Characterizing Cross-Domain Search Behavior
The heterogeneous nature of information needs and information sources requires techniques that efficiently combine and leverage insights from diverse data sources. Moreover, user interaction from different sources provides different perspectives on user’s interests and preferences. In this work, we consider user interaction data from different verticals (news, search) and characterize behaviora...
متن کاملHyper-heuristics for cross-domain search
In this paper we present two hyper-heuristics developed for the Cross-Domain Heuristic Search Challenge. Hyper-heuristics solve hard combinatorial problems by guiding low level heuristics, rather than by manipulating problem solutions directly. Two hyper-heuristics are presented: Five Phase Approach and Genetic Hive. Development paths of the algorithms and testing methods are outlined. Performa...
متن کاملVisual Domain Adaptation Using Regularized Cross- Domain Transforms
We introduce a method that adapts object models acquired in a particular visual domain to new imaging conditions by learning a transformation which minimizes the effect of domain-induced changes in the feature distribution. The transformation is learned in a supervised manner, and can be applied to categories unseen at training time. We prove that the resulting model may be kernelized to learn ...
متن کاملOpen-Ended Domain Model for Continual Forward Search HTN Planning
Domain models for automated planning systems often rely on the closed world assumption. Unfortunately, the closed world assumption is unreasonable in many real world planning domains. We propose an open-ended domain model based on definite clauses that can be flexibly extended and is able to automatically determine relevant but unknown information. The determination of relevant but unknown info...
متن کاملOpinion Sentence Search Engine on Open-Domain Blog
We have introduced a search engine that can extract opinion sentences relevant to an open-domain query from Japanese blog pages. The engine identifies opinions based not only on positive or negative measurements but also on neutral opinions, requests, advice, and thoughts. To retrieve a number of opinion sentences that a user could reasonably be expected to read, we attempted to extract only ex...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computer Vision and Image Understanding
سال: 2020
ISSN: 1077-3142
DOI: 10.1016/j.cviu.2020.103045