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نتیجه جستجو - Interactive search

تعداد مقالات یافته شده: 2
ردیف عنوان نوع
1 Aspect ontology based review exploration
هستی شناسی جنبه برمبنای بررسی و مرور-2018
User feedback in the form of customer reviews, blogs, and forum posts is an essential feature of e-commerce. Users often read online product reviews to get an insight into the quality of various aspects of a product. Besides, users have different aspect preferences, and they look for reviews that contain relevant information regarding their preferred aspect(s). However, as reviews are unstructured and voluminous, it becomes exhaustive and laborious for users to find relevant reviews. Lack of domain knowledge about various aspects and sub-aspects of a product, and how they are related to each other, also add to the problem. Although this information could be there in product reviews, it is not easy for users to spot it instantly from the reviews. This paper seeks to address the above problems and presents two novel algorithms that summarize product reviews, and provides an interactive search interface, similar to popular faceted navigation. We solve the problem by creating an aspect ontology tree with high aspect extraction precision.
keywords: Electronic commerce |Review exploration |Opinion mining |Aspect ontology
مقاله انگلیسی
2 Search Intention Analysis for Task- and User-Centered Visualization in Big Data Applications
تجزیه و تحلیل اهداف جستجو برای تجسم وظیفه و کاربر محور در برنامه های داده بزرگ-2017
A new approach for classifying users’ search intentions is described in this paper. The approach uses the parameters: word frequency, query length and entity matching for distinguishing the user’s query into exploratory, targeted and analysis search. The approach focuses mainly on word frequency analysis, where different sources for word frequency data are considered such as the Wortschatz frequency service by the University of Leipzig and the Microsoft Ngram service (now part of the Microsoft Cognitive Services). The model is evaluated with the help of a survey tool and few machine learning techniques. The survey was conducted with more than one hundred users and on evaluating the model with the collected data, the results are satisfactory. In big data applications the search intention analysis can be used to identify the purpose of a performed search, to provide an optimal initially set of visualizations that respects the intended task of the user to work with the result data.
Keywords: User-centered-design| Human-computer-interaction| Information retrieval| Predictive analysis| Interactive search
مقاله انگلیسی
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