World Wide Web is considered the most valuable place for Information Retrieval and Knowledge Discovery. Web search engines with effective and efficient techniques for Web service retrieval and selection becomes an important issue. Existing web search result based on keyword matching in single search engine only. This paper details a modular, self-contained web search results clustering system t...

In this paper, we develop an organization method of page information agents for adaptive interface between a user and a Web search engine. Though a Web search engine indicates a hit list of Web pages to user’s query, it includes many useless ones. Thus a user has to select useful pages with page information indicated on the hit list, and actually fetch the page for investigating the relevance. ...

This paper investigates the composition of search engine results pages. We define what elements the most popular web search engines use on their results pages (e.g., organic results, advertisements, shortcuts) and to which degree they are used for popular vs. rare queries. Therefore, we send 500 queries of both types to the major search engines Google, Yahoo, Live.com and Ask. We count how ofte...

This paper describes a novel search engine, WithAir that provides contents retrieval for i-mode, the most popular cell-phone service in Japan. WithAir allows users to complete typical search tasks with 4.4 keystrokes on average through keyword/purpose-predictive navigation. These two forms of navigation simplify, respectively, keyword input and search result output. WithAir has been used to sea...

Sponsored search accounts for 40% of the total online advertising market. These ads appear as ordered lists along with the organic (regular) search results in search engine results pages. There is conflicting evidence regarding the impact of organic search results on the sponsored search especially when there is an overlap in the results. We evaluate the impact of advertiser’s link as well as t...

The web has been evolving towards its Semantic future and, in turn, search engines (SEs) have been evolving to incorporate these changes. Current work probes on search engine ranking factors in a Web 2.0 and Web 3.0 context. To this end, we have created a headless crawler, LSHrank, which employs known search engine APIs, evaluates the results and explores the factors that affect the search engi...

Why doesn't your home page appear on the first page of search results, even when you query your own name? How do other web pages always appear at the top? What creates these powerful rankings? And how? The first book...

Makoto Yamada,Kyoto University Beyond Ranking: Optimizing Whole-Page Presentation (WSDM'16) Modern search engines aggregate results from different verticals: webpages, news, images, video, shopping, knowledge cards, local maps, etc. Unlike ten blue links", these search results are heterogeneous in nature and not even arranged in a list on the page. This revolution directly challenges the conven...

The TREC 2003 web track consisted of both a non-interactive stream and an interactive stream. Both streams worked with the .GOV test collection. The non-interactive stream continued an investigation into the importance of homepages in Web ranking, via both a Topic Distillation task and a Navigational task. In the topic distillation task, systems were expected to return a list of the homepages o...