Information Outlook, December 2006

Volume 10, Issue 12https://scholarworks.sjsu.edu/sla_io_2006/1011/thumbnail.jp

SOLUSI BISNIS BERBASIS AJAX : STUDI KASUS SISTEM POS (POINT OF SALE)

Retailers find themselves up against fierce competition. They must fight for every sale, and work hard to build customer loyalty and protect already slim margins. Today, an increasing number of smaller retailers understand the urgent need to catch up to larger players to remain competitive. They also recognize the important role that IT investments play in organizations� strategic decision-making and operational efficiency in all areas of the business, including point of sale, supply chain management, and inventory. The savvy retailer knows that POS (Point Of Sale) data and functionality has quickly become critical to business rather than a mere convenience. In recent time Ajax based applications have become very popular. Ajax is a new model for web applications to provide more responsive and faster user interfaces resembling more closely to dekstop applications. Typical usage areas are user input validation without page submission, integrating small elements from several servers on a single page, and simulating push-services. Especially the latter are promising for enhancing web applications and for realizing them directly in browsers without plug-ins or additional software. Many frameworks and libraries (open source or comercial) are available which support Ajax development. In this final project, we will integrate some open-source Ajax framework to build low-cost, interactive and integrate POS (Point Of Sale) systems which is accessible to a wide retailer through the Internet. This is we call as iPOS. We hope it�s will become a solution for retailers to run their business more efective and effisien

New Media, New Influencers and Implications for Public Relations

Marketers and public relations professionals today are confronted with an astounding array of new communications channels. Internet-based social media tools like blogs, podcasts, online video and social networks are giving voice to the opinions of millions of consumers. While mainstream media continues to play a vital role in the dissemination of information, even these traditional channels are increasingly being influenced by online conversations. The "new influencers" are beginning to tear at the fabric of marketing as it has existed for 100 years, giving rise to a new style of marketing that is characterized by conversation and community. Marketers are responding to these forces with a mixture of excitement, fear and fascination. They're alarmed at the prospect of ceding control of their messages to a community of unknowns. Yet at the same time they're excited about the prospect of leveraging theese same tools to speak directly to their constituents without the involvement of media intermediaries.The Society for New Communications Research set out to conduct an examination of how influence patterns are changing and how communications professionals are addressing those changes by adopting social media. The goals were to discover how organizations:Define new influencers;Communicate and create relationships with them;Use social media to create influence; andMeasure the effects of these efforts.Another goal of the study was to use these discoveries to offer a set of recommendations to professional communicators

A personalized and context-aware news offer for mobile devices

For classical domains, such as movies, recommender systems have proven their usefulness. But recommending news is more challenging due to the short life span of news content and the demand for up-to-date recommendations. This paper presents a news recommendation service with a content-based algorithm that uses features of a search engine for content processing and indexing, and a collaborative filtering algorithm for serendipity. The extension towards a context-aware algorithm is made to assess the information value of context in a mobile environment through a user study. Analyzing interaction behavior and feedback of users on three recommendation approaches shows that interaction with the content is crucial input for user modeling. Context-aware recommendations using time and device type as context data outperform traditional recommendations with an accuracy gain dependent on the contextual situation. These findings demonstrate that the user experience of news services can be improved by a personalized context-aware news offer

Enhanced Search for Educational Resources - A Perspective and a Prototype from ccLearn

Users of search tools who seek educational materials on the Internet are typically presented with either a web-scale search (e.g., Google or Yahoo) or a specialized, site-specific tool. The specialized search tools often rely upon custom data fields, such as user-entered ratings, to provide additional value. As currently designed, these systems are generally too labor intensive to manage and scale up beyond a single site or set of resources.However, custom (or structured) data of some form is necessary if search outcomes foreducational materials are to be improved. For example, design criteria and evaluative metrics are crucial attributes for educational resources, and these currently require human labeling and verification. Thus, one challenge is to design a search tool that capitalizes on available structured data (also called metadata) but is not crippled if the data are missing. This information should be amenable to repurposing by anyone, which means that it must be archived in a manner that can be discovered and leveraged easily.In this paper, we describe the extent to which DiscoverEd, a prototype developed by ccLearn, meets the design challenge of a scalable, enhanced search platform for educational resources. We then explore some of the key challenges regarding enhanced search for topic-specific Internet resources generally. We conclude by illustrating some possible future developments and third-party enhancements to the DiscoverEd prototype

Search Engine : a Synthesis, Innovation & Regulation Chair, Workshop, 16 Mai 2008.

In a digital economy which is increasingly becoming an information and attention-based economy, search engines are occupying a central role shaped by the symbolic status of Google both in terms of its renown and its dominance of internet traffic. Despite their importance, economic models and competition structures for search engines are not widely understood. Thanks to their top-heavy IT infrastructures, they come under the network economy. And because they supply service applications, they can also be classified as part of the content economy. Google's disruptive success is down to the very fact that it has been able to innovate in the technical, service, use and business model spheres, all at the same time.Telecommunications, Audiovisuel, Culture, TIC.

TogoDoc Server/Client System: Smart Recommendation and Efficient Management of Life Science Literature

In this paper, we describe a server/client literature management system specialized for the life science domain, the TogoDoc system (Togo, pronounced Toe-Go, is a romanization of a Japanese word for integration). The server and the client program cooperate closely over the Internet to provide life scientists with an effective literature recommendation service and efficient literature management. The content-based and personalized literature recommendation helps researchers to isolate interesting papers from the “tsunami” of literature, in which, on average, more than one biomedical paper is added to MEDLINE every minute. Because researchers these days need to cover updates of much wider topics to generate hypotheses using massive datasets obtained from public databases or omics experiments, the importance of having an effective literature recommendation service is rising. The automatic recommendation is based on the content of personal literature libraries of electronic PDF papers. The client program automatically analyzes these files, which are sometimes deeply buried in storage disks of researchers' personal computers. Just saving PDF papers to the designated folders makes the client program automatically analyze and retrieve metadata, rename file names, synchronize the data to the server, and receive the recommendation lists of newly published papers, thus accomplishing effortless literature management. In addition, the tag suggestion and associative search functions are provided for easy classification of and access to past papers (researchers who read many papers sometimes only vaguely remember or completely forget what they read in the past). The TogoDoc system is available for both Windows and Mac OS X and is free. The TogoDoc Client software is available at http://tdc.cb.k.u-tokyo.ac.jp/, and the TogoDoc server is available at https://docman.dbcls.jp/pubmed_recom

Being Omnipresent To Be Almighty: The Importance of The Global Web Evidence for Organizational Expert Finding

Modern expert nding algorithms are developed under the assumption that all possible expertise evidence for a person is concentrated in a company that currently employs the person. The evidence that can be acquired outside of an enterprise is traditionally unnoticed. At the same time, the Web is full of personal information which is sufficiently detailed to judge about a person's skills and knowledge. In this work, we review various sources of expertise evidence out-side of an organization and experiment with rankings built on the data acquired from six dierent sources, accessible through APIs of two major web search engines. We show that these rankings and their combinations are often more realistic and of higher quality than rankings built on organizational data only