Generating social media for the movie world: TweetMovies

PFC realitzat en el marc d'un programa de mobilitat amb la Helsinki Metropolia University of Applied Sciences.TweetMovies is a social network developed using edge web technologies, like Ruby on Rails, jQuery or Ruby on Rails. In the process, some advanced development techniques were used, like Test-Driven Development or Behavior-Driven Development. The basics of SEO are used and explained in the project

DancingLines: An Analytical Scheme to Depict Cross-Platform Event Popularity

Nowadays, events usually burst and are propagated online through multiple modern media like social networks and search engines. There exists various research discussing the event dissemination trends on individual medium, while few studies focus on event popularity analysis from a cross-platform perspective. Challenges come from the vast diversity of events and media, limited access to aligned datasets across different media and a great deal of noise in the datasets. In this paper, we design DancingLines, an innovative scheme that captures and quantitatively analyzes event popularity between pairwise text media. It contains two models: TF-SW, a semantic-aware popularity quantification model, based on an integrated weight coefficient leveraging Word2Vec and TextRank; and wDTW-CD, a pairwise event popularity time series alignment model matching different event phases adapted from Dynamic Time Warping. We also propose three metrics to interpret event popularity trends between pairwise social platforms. Experimental results on eighteen real-world event datasets from an influential social network and a popular search engine validate the effectiveness and applicability of our scheme. DancingLines is demonstrated to possess broad application potentials for discovering the knowledge of various aspects related to events and different media

Methodologies for the Automatic Location of Academic and Educational Texts on the Internet

Traditionally online databases of web resources have been compiled by a human editor, or though the submissions of authors or interested parties. Considerable resources are needed to maintain a constant level of input and relevance in the face of increasing material quantity and quality, and much of what is in databases is of an ephemeral nature. These pressures dictate that many databases stagnate after an initial period of enthusiastic data entry. The solution to this problem would seem to be the automatic harvesting of resources, however, this process necessitates the automatic classification of resources as ‘appropriate’ to a given database, a problem only solved by complex text content analysis. This paper outlines the component methodologies necessary to construct such an automated harvesting system, including a number of novel approaches. In particular this paper looks at the specific problems of automatically identifying academic research work and Higher Education pedagogic materials. Where appropriate, experimental data is presented from searches in the field of Geography as well as the Earth and Environmental Sciences. In addition, appropriate software is reviewed where it exists, and future directions are outlined

An Industry Giant\u27s Struggles: Google\u27s Relative Failure Within China

This thesis aims to understand and further explain the reasons culminating in Google\u27s relative failure in the Chinese search engine market. By examining Google\u27s tenure in China, Google\u27s fairings in other large East Asian markets, and other Western corporations\u27 troubles adapting to the Chinese market, this paper works to exhibit the reasons for Google\u27s failure in China. Many of Google\u27s high-ranking officers have claimed censorship as the most important factor in forcing the industry giant to vacate one of the fastest growing and most populous search engine markets in the world, but this paper seeks to exemplify that Google\u27s approach to China was flawed and may have contributed to its failure just as much as censorship. Through the utilization of papers detailing Google\u27s efforts in various East Asian markets, various sources showing the Chinese government\u27s works against Google and the Chinese public\u27s perception of Google\u27s actions, and works discussing Google\u27s strategy in East Asia, the paper analyzes how Google was affected both by internal and external stimuli in the four areas that affect search engine loyalty according to various researchers: speed, comprehensiveness, ease, and relevance. The conclusion is that, while nothing is certain due to how interconnected every aspect of the question is, Google\u27s flawed business plan for the Chinese market and inability to overcome the label as an overly foreign corporation ultimately concluded in its inability to best China\u27s homegrown search engine, Baidu, and its decision to depart the Chinese market

Some Skepticism About Search Neutrality

In the last few years, some search-engine critics have suggested that dominant search engines (i.e. Google) should be subject to “search neutrality” regulations. By analogy to network neutrality, search neutrality would require even-handed treatment in search results: It would prevent search engines from playing favorites among websites. Academics, Google competitors, and public-interest groups have all embraced search neutrality. Despite this sudden interest, the case for search neutrality is too muddled to be convincing. While “neutrality” is an appealing-sounding principle, it lacks a clear definition. This essay explores no fewer than eight different meanings that search-neutrality advocates have given the term. None of them would lead to sensible regulation. Some are too ill-defined to measure; others measure the wrong thing. Search is inherently subjective: it always involves guessing the diverse and unknown intentions of users. Regulators, however, need an objective standard to judge search engines against. Most of the common arguments for search neutrality either duck the issue or impose on search users a standard of “right” and “wrong” search results they wouldn’t have chosen for themselves. Search engines help users avoid the websites they don’t want to see; search neutrality would turn that relationship on its head. As currently proposed, search neutrality is likely to make search results spammier, more confusing, and less diverse

Methodologies for the Automatic Location of Academic and Educational Texts on the Internet

Traditionally online databases of web resources have been compiled by a human editor, or though the submissions of authors or interested parties. Considerable resources are needed to maintain a constant level of input and relevance in the face of increasing material quantity and quality, and much of what is in databases is of an ephemeral nature. These pressures dictate that many databases stagnate after an initial period of enthusiastic data entry. The solution to this problem would seem to be the automatic harvesting of resources, however, this process necessitates the automatic classification of resources as ‘appropriate’ to a given database, a problem only solved by complex text content analysis. This paper outlines the component methodologies necessary to construct such an automated harvesting system, including a number of novel approaches. In particular this paper looks at the specific problems of automatically identifying academic research work and Higher Education pedagogic materials. Where appropriate, experimental data is presented from searches in the field of Geography as well as the Earth and Environmental Sciences. In addition, appropriate software is reviewed where it exists, and future directions are outlined

CHORUS Deliverable 2.1: State of the Art on Multimedia Search Engines

Based on the information provided by European projects and national initiatives related to multimedia search as well as domains experts that participated in the CHORUS Think-thanks and workshops, this document reports on the state of the art related to multimedia content search from, a technical, and socio-economic perspective. The technical perspective includes an up to date view on content based indexing and retrieval technologies, multimedia search in the context of mobile devices and peer-to-peer networks, and an overview of current evaluation and benchmark inititiatives to measure the performance of multimedia search engines. From a socio-economic perspective we inventorize the impact and legal consequences of these technical advances and point out future directions of research