SInFo – Structure-Driven Incremental Forum Crawler That Optimizes User-Generated Content Retrieval
نویسندگان
چکیده
منابع مشابه
Sampled Image Tagging and Retrieval Methods on User Generated Content
Traditional image tagging and retrieval algorithms have limited value as a result of being trained with heavily curated datasets. These limitations are most evident when arbitrary search words are used that do not intersect with training set labels. Weak labels from user generated content (UGC) found in the wild (e.g., Google Photos, FlickR, etc.) have an almost unlimited number of unique words...
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With the advent of Web 2.0 technologies a new attitude towards processing contents in the Internet has emerged. Nowadays it is a lot easier to create, share and retrieve multimedia contents on the Web. However, with the increasing amount in contents retrieval becomes more challenging and often leads to inadequate search results. One main reason is that image clustering and retrieval approaches ...
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This paper considers the creation and consumption of content on user generated content (UGC) platforms, e.g., reviews, articles, chat, videos, etc. On these platforms, users’ expectations regarding the participation of others on the site become germane to their own involvement levels. Accordingly, we develop a dynamic rational expectations equilibrium model of joint consumption and generation o...
متن کاملFoCUS – Forum Crawler Under Supervision
Forum Crawler Under Supervision (FoCUS) is a supervised web-scale forum crawler. The web contains large data and innumerable websites that are monitored by a tool or program known as crawler. The goal is to crawl relevant forum content from the web with minimal overhead. Forums have different layouts or styles and are powered by different forum software packages. They have similar implicit navi...
متن کاملDiffusion of User-Generated Content in a Social Network Structure
The instant diffusion of digital contents via the Internet, especially on portal web sites such as YouTube, is phenomenal. The large audience (demand) pool and the potential of content’s diffusion via the vast users’ network give a promising market to companies willing to distribute their digital contents online. However, not all video contents are successful. While some of the contents get ins...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2019
ISSN: 2169-3536
DOI: 10.1109/access.2019.2939872