We present a novel method for ranking query paraphrases for effective search in community question answering (cQA). The method uses query logs from Yahoo! Search and Yahoo! Answers for automatically extracting a corpus of paraphrases of queries and questions using the query-question click history. Elements of this corpus are automatically ranked according to recall and mean reciprocal rank, and...

We describe the design, prototyping and evaluation of ARC, a system for automatically compiling a list of authoritative web resources on any (sufficiently broad) topic. The goal of ARC is to compile resource lists similar to those provided by Yahoo! or Infoseek. The fundamental difference is that these services construct lists either manually or through a combination of human and automated effo...

Amidst increasingly equality in belief and in practice between the sexes, we ask if height preferences still matter, and if so, why people say they matter. First, we collected data from Yahoo! dating personal advertisements. Second, we used answers to open-ended questions in an online survey. The Yahoo! data document that height is still important in decisions to date but that it is more import...

To eliminate mismatches between the intentions of questioners and respondents, we have conducted impression evaluation experiment and nine factors are obtained. Factor scores of the statements used in the experiments are obtained. Those of other statements, however, cannot be obtained. This paper proposes a method of estimating the factor scores of other statements through multiple regression a...

A query classification system for NTCIR-10 1CLICK-2 is described in this paper. The system classifies queries in Japanese and English into eight predefined classes by using support vector machines (SVMs) for classification. Feature vectors are created based on snippet similarities instead of snippet word frequency. These vectors, which have fewer dimensions than those made from raw words, redu...

When documents are organized in a large number of topic categories, the categories are often arranged in a hierarchy. The U.S. patent database and Yahoo are two examples. This paper shows that the accuracy of a naive Bayes text classi er can be signi cantly improved by taking advantage of a hierarchy of classes. We adopt an established statistical technique called shrinkage that smoothes parame...

We discuss the issue of evaluating our context-based personalized mobile search approach with a methodology based on a combination of two evaluation approaches: context simulation and user study. Our personalized approach aims at exploiting some context-aware user profiles through a personalized score to re-rank initial search results obtained from a standard search system. We use Yahoo!’s open...

Mobile portals have become a common entry point to the mobile Internet, and take a number of forms. They may be service provider portals, such as Vodafone’s Live! portal (Vodafone, 2006), offering access to both in-house and brokered external services. Alternatively, they may be public pure play sites that provide some kind of managed access to resources using a yellowpages approach. Good examp...

News portals, such as Yahoo News or Google News, collect large amounts of documents from a variety of sources on a daily basis. Only a small portion of these documents can be selected and displayed on the homepage. Thus, there is a strong preference for major, recent events. In this work, we propose a scalable and accurate First Story Detection (FSD) pipeline that identifies fresh news. In comp...

The purpose of this article is to address the question whether Apple worth investing in by analyzing investment data on Apple’s stock and own data. In article, author assumes 10,000 shares Inc from January 1, 2020, until August 2, 2022, uses Yahoo Finance’s historical calculate past earnings levels, combined with author’s macro analysis economic conditions market conclude that well over next 3-...