Exploiting the beta distribution-based reputation model in recommender system

Reputation systems are employed to measure the quality of items on the Web. Incorporating accurate reputation scores in recommender systems is useful to provide more accurate recommendations as recommenders are agnostic to reputation. The ratings aggregation process is a vital component of a reputation system. Reputation models available do not consider statistical data in the rating aggregation process. This limitation can reduce the accuracy of generated reputation scores. In this paper, we propose a new reputation model that considers previously ignored statistical data. We compare our proposed model against state-of the-art models using top-N recommender system experiment.

Herman Bernstein 1897-1935

Correspondence, clippings, manuscripts, notes, reports, relating to Bernstein's journalistic, literary and diplomatic careers. Correspondence with well-known literary, political and communal, society personalities, 1908-1935. Includes Cyrus Adler, Viscount Allenby, Joseph Barondess, Bernard Baruch, Henri Bergson, Hayyim Nahman Bialik, Jacob Billikopf, Vladimir Bourtzeff, Louis Brandeis, Robert Cecil, Fyodor Chaliapin, Jacob de Haas, Albert Einstein, Henry Ford, Felix Frankfurter, Herbert Hoover, Vladimir Jabotinsky, Horace M. Kallen, Peretz Hirschbein, Peter Kropotkin, Herbert Lehman, Louis Lipsky, Judah L. Magnes, Louis Marshall, Henry Morgenthau, Max Nordau, Adolph Simon Ochs, David de Sola Pool, Bernard G. Richards, Theodore Roosevelt, Julius Rosenwald, Jacob Schiff, Harry Schneiderman, Maurice Schwartz, George Bernard Shaw, Sholem Aleichem, Nathan Straus, Henrietta Szold, Chaim Tchernowitz, Leo Tolstoy, Samuel Untermyer, Henry Van Dyke, Lillian Wald, Felix Warburg, Chaim Weizman n, Jefferson Williams, Stephen Wise, Israel Zangwill. Correspondence and other materials relating to Bernstein's post as U.S. ambassador to Albania. Materials pertaining to Bernstein's editorial work at *The Day*, *Jewish Tribune*, *New York Herald*, *Jewish Daily Bulletin*. Materials pertaining to Bernstein's involvement with the American Jewish Committee. Correspondence with organizations including American Jewish Congress, *American Hebrew*, HIAS, *Jewish Chronicle* (London), Jewish Community of New York, *Menorah Journal*, *New York American*, *New York Times*, ORT, U.S. Dept. of State, Yiddish Art Theater, Zionist Organization of America. Articles, clippings, correspondence and court materials relating to the Ford libel suit. Miscellaneous documents and reports relating to the Paris Peace Conference, the Jewish situation in Russia, 1917-1920, Russian revolutionary events of 1917. News dispatches from Russia, 1917-1920s. Translations by Bernstein of Russian wri Andre yev,

An alternative view of small firm adaptation

Increasingly, small firms with a history tied to a specific geographic location are having their survival threatened by new and innovative web-based entrants. This paper considers the plight of such firms and proposes an alternative means to reflect on how they may or may not learn about such threats. Adopting an evolutionary perspective, the construct absorptive capacity is used to highlight the deficiencies of current market orientation theory to explain the process of firm learning. The conceptual model of evolutionary potential provides a framework through which both the firm and its owner/s' abilities to learn can be taken into account.

e-Extinction: an illusion of knowledge, the presence of ignorance, or evolutionary fate?

At present, the rate of small firm adoption of the Internet's ubiquitous World Wide Web (the web) far exceeds the actual exploitation its commercial potential. An inability to strategically acquire, comprehend and use external knowledge is proposed as a major barrier to optimal exploitation of the Internet. This paper discusses the limitations of applying market orientation theory to explain and guide small firm exploitation of the web. Absorptive capacity is introduced as an alternative theory that when viewed from an evolutionary perspective provides potentially more insightful discussion. An inability to detect emerging business model dominant designs is suggested to be a mixture of the nature of the technology that supports the Internet and underdeveloped small firm knowledge processing capabilities. We conclude with consideration of the practical and theoretical implications that arise from the paper.

Invisible opportunities and irreversible trends

Small firms are always vulnerable to complex technological change that may render their existing business model obsolete. This paper emphasises the need to understand how the Internet's ubiquitous World Wide Web is impacting on their operating environments. Consideration of evolutionary theory and the absorptive capacity construct provides the foundation for discussion of how learning and discovery take place within individuals, firms and the environments that interact with. Small firms, we argue, face difficulties identifying what routines and competencies are best aligned with the seemingly invisible dominant designs that support pursuit of new enterprise in web-impacted environments. We argue that such difficulties largely relate to an inability to acquire external knowledge and the subsequent reliance on existing internal selection processes that may reinforce the known, at the expense of the unknown. The paper concludes with consideration as to how managers can overcome the expected difficulties through the development of internal routines that support the continual search, evaluation and acquisition of specific external knowledge.

Beyond e-commerce: when caterpillars know what butterflies understand

Many small firms increasingly operate in markets under siege from new entrants who exploit the technologies associated with the Internet's World Wide Web (the web). In these circumstances, interpreting the operating environment is like a vu jade, the opposite of deja vu, a time in space where they have never been, have no idea what they are doing and who it is that could help them. Through the use of the story of the Caterpillar and the Butterfly, this paper considers the inherent difficulties faced by small firms considering the prospect of becoming an e-firm. When considered from an evolutionary perspective, the journey from small firm to small e-firm is not seen as one of choice, but rather one of necessity. In such markets, a race currently appears to exist between entrepreneurs exploiting the web's technologies, and the process of natural selection acting upon firms whose routines have lost favour.

Generating product feature hierarchy from product reviews

User generated information such as product reviews have been booming due to the advent of web 2.0. In particular, rich information associated with reviewed products has been buried in such big data. In order to facilitate identifying useful information from product (e.g., cameras) reviews, opinion mining has been proposed and widely used in recent years. In detail, as the most critical step of opinion mining, feature extraction aims to extract significant product features from review texts. However, most existing approaches only find individual features rather than identifying the hierarchical relationships between the product features. In this paper, we propose an approach which finds both features and feature relationships, structured as a feature hierarchy which is referred to as feature taxonomy in the remainder of the paper. Specifically, by making use of frequent patterns and association rules, we construct the feature taxonomy to profile the product at multiple levels instead of single level, which provides more detailed information about the product. The experiment which has been conducted based upon some real world review datasets shows that our proposed method is capable of identifying product features and relations effectively.

The status of entrepreneurship education in Australian universities

Purpose The purpose of this paper is to provide an analytical overview of the current state of entrepreneurship education (EE) in Australia; placing emphasis on programs, curricula and entrepreneurship ecosystems. Design/methodology/approach The authors performed a contextual review of the literature by delineating entrepreneurship education programs, the entrepreneurial ecosystem and EE learning and teaching. The review was enhanced by a systematic collection of data from higher education institutions web sites, depicting the prevailing situation of entrepreneurship programs, courses, subjects and their ecosystems. Findings A number of interesting findings emerged from this study. From a curricular perspective, Australian universities offer 584 subjects related to entrepreneurship. This includes dominance at undergraduate level, representing 24 minors/majors and specializations in entrepreneurship. In total, 135 entrepreneurship ecosystems were identified. Research limitations/implications This paper presents findings from university web sites and as such requires introspection to validate individual university offerings. Practical implications The study provides the status of EE in Australia, and may guide academic and policy decision makers to further develop entrepreneurship initiatives. Originality/value This paper provides the first analytical overview of EE in Australia and paves the way for further evaluation.

FreeS: A fast algorithm to discover frequent free subtrees using a novel canonical form

Web data can often be represented in free tree form; however, free tree mining methods seldom exist. In this paper, a computationally fast algorithm FreeS is presented to discover all frequently occurring free subtrees in a database of labelled free trees. FreeS is designed using an optimal canonical form, BOCF that can uniquely represent free trees even during the presence of isomorphism. To avoid enumeration of false positive candidates, it utilises the enumeration approach based on a tree-structure guided scheme. This paper presents lemmas that introduce conditions to conform the generation of free tree candidates during enumeration. Empirical study using both real and synthetic datasets shows that FreeS is scalable and significantly outperforms (i.e. few orders of magnitude faster than) the state-of-the-art frequent free tree mining algorithms, HybridTreeMiner and FreeTreeMiner.

Luottamuksenhallinta web-palveluympäristössä

Tutkielmassa käsitellään luottamuksenhallintaa web-palveluympäristössä. Dynaaminen toimintaympäristö asettaa vaatimuksia luottamuksenhallintajärjestelmälle, jota käytetään paitsi paikallisten pääsynhallintapäätösten tekemiseen, myös laajemman mittakaavan päätöksenteon tukena, useiden autonomisten toimijoiden muodostamien yhteisöjen hallinnassa. Tutkielma esittelee Trust Based on Evidence -projektissa kehitetyn luottamuksenhallintajärjestelmän tiedollisen ja toiminnallisen mallin, paikallisesta ja yhteisön näkökulmasta. Mallia selkeytetään web-palveluympäristöön sijoittuvan esimerkin avulla. Luottamuksen käsitteen rakentamiseksi esitellään myös eri osa-alueille sijoittuvia luottamuksen malleja ja luottamusta käyttäviä järjestelmiä. Avoimessa verkkoympäristössä palveluntarjoaja joutuu tasapainottelemaan kahden osin vastakkaisen tavoitteen välillä: toisaalta järjestelmän tulisi olla mahdollisimman avoin, jotta se houkuttelisi käyttäjiä, toisaalta liiallinen avoimuus kasvattaa tietomurron riskiä. Kompromissin löytäminen on hankaloitunut edelleen saavutettavien käyttäjien määrän kasvaessa ja tarjottavien palvelujen monimutkaistuessa. Tehtävä vaatii toisaalta erikoistapauksien käsittelyä, toisaalta yleistettävyyttä laajan käyttäjistön suhteen. Tietoturvan ylläpidon automatisointia ovat edistäneet muun muassa politiikkapäätösten erottaminen toteutuksesta ja mahdollisten tietomurron merkkien tarkkailun delegointi siihen erikoistuneille ohjelmille (IDS). Palvelujen käyttäjistön kasvaessa ja siirtyessä nimettömämmiksi kurinpito ja tarkkailu kuitenkin vaikeutuvat entisestään, eikä ylläpitäjiä riitä sidottavaksi jatkuvaan käyttäjien vahtimiseen. Monesti valvoja voikin vain poistaa käyttöoikeuden häiriköltä, jolloin esimerkiksi hieman lievemmälle sääntöjen ``venyttämiselle'' ei juuri voi tehdä mitään. Luottamuksenhallinta helpottaa rikkomuksiin ja toisaalta hyvään käytökseen reagoimista asteittain. Sen pohjalta käyttäjien valvontaan, pääsynhallintaan ja resurssien rajoitukseen liittyvä hienosäätö voidaan tuoda ymmärrettäväksi osaksi ylläpitoa ja pitkälti myös automatisoida. Avainsanat: luottamuksenhallinta, Web Services

Web-based active learning and frequent feedback: Engaging first-year university students

Web-based technology is particularly well-suited to promoting active student involvement in the processes of learning. All students enrolled in a first-year educational psychology unit were required to complete ten weekly online quizzes, ten weekly student-generated questions and ten weekly student answers to those questions. Results of an online survey of participating students strongly support the viability and perceived benefits of such an instructional approach. Although students reported that the 30 assessments were useful and reasonable, the most common theme to emerge from the professional reflections of participating lecturers was that the marking of questions and answers was unmanageable.

Web 2.0 technology: Social learning tools in higher education in Saudi Arabia

Information and communication technology (ICT) has created opportunities for students' online interaction in higher education throughout the world. Limited research has been done in this area in Saudi Arabia. This study investigated university students' engagement and perceptions of online collaborative learning using Social Learning Tools (SLTs). In addition, it explored the quality of knowledge construction that occurred in this environment. A mixed methods case study approach was adopted, and the data was gathered from undergraduate students (n=43) who were enrolled in a 15-week course at a Saudi university. The results showed that while the students had positive perceptions towards SLTs and their engagement, data gathered from their work also showed little evidence of high levels of knowledge construction.