Web is now the undisputed warehouse for information. It can now provide most of the answers for modern problems. Search engines do a great job by combining and ranking the best results when the users try to search for any particular information. However, as we know 'with great power comes great responsibility', it is not an easy task for data analysts to find the most relevant information for t...

This paper describes NTCIR-6 experiments of the CLIRJ-J task, i.e. Japanese monolingual retrieval subtask, at the Yahoo group, focusing on the parameter optimization in information retrieval (IR). Unlike regression approaches, we optimized parameters completely independent from retrieval models so that the optimized parameter set can illustrate the characteristics of the target test collections...

Online social spaces, where users can exchange information, opinions and resources, have achieved wide popularity and are gaining attention in many research fields, including education. Their actual potential support to learning, however, still requires investigation, especially because portals can widely differ as concerns purpose and internal structure. This paper aims to contribute in this r...

This work presents a dataset and annotation scheme for the new task of identifying “good” conversations that occur online, which we call ERICs: Engaging, Respectful, and/or Informative Conversations. We develop a taxonomy to reflect features of entire threads and individual comments which we believe contribute to identifying ERICs; code a novel dataset of Yahoo News comment threads (2.4k thread...

Unprepared with a fragile digital infrastructures, and hurriedly tossed into the depth of cyberspace in Fourth Fifth Industrial Revolutions (4IR 5IR) by Covid-19 pandemic measures, lockdown needs for remote learning. The educational sector became most vulnerable; streams cyber-attacks stalling virtual classes compromising data integrity, which financial was not exempted, despite evolvement cybe...

Finding desired information on the Internet is becoming increasingly difficult. Internet directories such as Yahoo!, which organize web pages into hierarchical categories, provide one solution to this problem; however, such directories are of limited use because some bias is applied both in the collection and categorization of pages. We propose a method for integrating multiple Internet directo...

A great number of services, experiments, and decisions at Yahoo! require analyzing rich data sources. This data almost invariably holds a large number of attributes. In these scenarios, the efficient selection of relevant attributes is imperative for data analysis (e.g.,modeling, prediction). When approaching new data analysis tasks, domain experts, researchers, and engineers spent a considerab...

Based on Rogers’s innovation diffusion model, we investigate how electronic word-of-mouth (eWOM) through different types of social media impacts movie sales across the different phases of movie screening. We collected eWOM information on movies from February to October 2012 from Twitter, Yahoo!Movies, YouTube, and blogs on a daily basis. The results indicate that Twitter is relatively influenti...

This paper presents an approach to enhance search engines with information about word senses available in WordNet. The approach exploits information about the conceptual relations within the lexical-semantic net. In the wrapper for search engines presented, WordNet information is used to specify a user's request or to classify the results of a publicly available web search engine, like Google, ...