Profiling Users’ Behavior, and Identifying Important Features of Review “Helpfulness”

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Using Argument-based Features to Predict and Analyse Review Helpfulness

We study the helpful product reviews identification problem in this paper. We observe that the evidence-conclusion discourse relations, also known as arguments, often appear in product reviews, and we hypothesise that some argument-based features, e.g. the percentage of argumentative sentences, the evidencesconclusions ratios, are good indicators of helpful reviews. To validate this hypothesis,...

متن کامل

Identifying Important Features for Graph Retrieval

Infographics, such as bar charts and line graphs, occur often in popular media and are a rich knowledge source that should be accessible to users. Unfortunately, information retrieval research has focused on the retrieval of text documents and images, with almost no attention specifically directed toward the retrieval of information graphics. Our work is the first to directly tackle the retriev...

متن کامل

a framework for identifying and prioritizing factors affecting customers’ online shopping behavior in iran

the purpose of this study is identifying effective factors which make customers shop online in iran and investigating the importance of discovered factors in online customers’ decision. in the identifying phase, to discover the factors affecting online shopping behavior of customers in iran, the derived reference model summarizing antecedents of online shopping proposed by change et al. was us...

15 صفحه اول

Helpfulness-Guided Review Summarization

Review mining and summarization has been a hot topic for the past decade. A lot of effort has been devoted to aspect detection and sentiment analysis under the assumption that every review has the same utility for related tasks. However, reviews are not equally helpful as indicated by user-provided helpfulness assessment associated with the reviews. In this thesis, we propose a novel review sum...

متن کامل

Automatically Determining Review Helpfulness

Customer reviews from commerce websites have valuable information for online shoppers. They help shoppers gauge whether or not a product is worth the purchase. However, reviews vary in their quality and helpfulness. Most commerce websites have voting systems where shoppers can vote on whether a review was helpful to them or not. For popular products however, the number of reviews can be in the ...

متن کامل

ذخیره 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: IEEE Access

سال: 2020

ISSN: 2169-3536

DOI: 10.1109/access.2020.2989463