Product reputation model : an opinion mining based approach

Product rating systems are very popular on the web, and users are increasingly depending on the overall product ratings provided by websites to make purchase decisions or to compare various products. Currently most of these systems directly depend on users��� ratings and aggregate the ratings using simple aggregating methods such as mean or median [1]. In fact, many websites also allow users to express their opinions in the form of textual product reviews. In this paper, we propose a new product reputation model that uses opinion mining techniques in order to extract sentiments about product���s features, and then provide a method to generate a more realistic reputation value for every feature of the product and the product itself. We considered the strength of the opinion rather than its orientation only. We do not treat all product features equally when we calculate the overall product reputation, as some features are more important to customers than others, and consequently have more impact on customers buying decisions. Our method provides helpful details about the product features for customers rather than only representing reputation as a number only.

Product feature taxonomy learning based on user reviews

In recent years, the Web 2.0 has provided considerable facilities for people to create, share and exchange information and ideas. Upon this, the user generated content, such as reviews, has exploded. Such data provide a rich source to exploit in order to identify the information associated with specific reviewed items. Opinion mining has been widely used to identify the significant features of items (e.g., cameras) based upon user reviews. Feature extraction is the most critical step to identify useful information from texts. Most existing approaches only find individual features about a product without revealing the structural relationships between the features which usually exist. In this paper, we propose an approach to extract features and feature relationships, represented as a tree structure called feature taxonomy, based on frequent patterns and associations between patterns derived from user reviews. The generated feature taxonomy profiles the product at multiple levels and provides more detailed information about the product. Our experiment results based on some popularly used review datasets show that our proposed approach is able to capture the product features and relations effectively.

Quality-aware review selection based on product feature taxonomy

As of today, user-generated information such as online reviews has become increasingly significant for customers in decision making process. Meanwhile, as the volume of online reviews proliferates, there is an insistent demand to help the users tackle the information overload problem. In order to extract useful information from overwhelming reviews, considerable work has been proposed such as review summarization and review selection. Particularly, to avoid the redundant information, researchers attempt to select a small set of reviews to represent the entire review corpus by preserving its statistical properties (e.g., opinion distribution). However, one significant drawback of the existing works is that they only measure the utility of the extracted reviews as a whole without considering the quality of each individual review. As a result, the set of chosen reviews may consist of low-quality ones even its statistical property is close to that of the original review corpus, which is not preferred by the users. In this paper, we proposed a review selection method which takes review quality into consideration during the selection process. Specifically, we examine the relationships between product features based upon a domain ontology to capture the review characteristics based on which to select reviews that have good quality and preserve the opinion distribution as well. Our experimental results based on real world review datasets demonstrate that our proposed approach is feasible and able to improve the performance of the review selection effectively.

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.

Online nail art application : proceeding of the project development

Online Nail Artist (ONA) project aims to create a web-based application for nail salon customers. The application will help customers to customize their hands virtually and find suitable nail colors. The main research question is to reconfigure user experience in relation to product service in terms of customization of user needs. As results, the key function of the application will be to customize a virtual hand image by selecting a matched skin tone, a nail length, and a nail shape in accordance with their hands. The objectives of the project proceeding are to 1) identify customers��� experience in relation to the product features through preliminary research on existing products; 2) create a conceptual framework of the project development in order to reflect the user experience identified; and 3) present a mock up which include key features of the ONA for the future development.

Just give me the facts? literalism versus symbolism in B2B advertising

For decades the prevailing idea in B2B marketing has been that buyers are motivated by product/service specifications. Sellers are put on approved supplier lists, invited to respond to RFPs, and are selected on the basis of superior products, at the right price, delivered on time. The history of B2B advertising is filled with the advice ���provide product specifications��� and your advertising will be noticed, lead to sales inquiries, and eventually result in higher sales. Advertising filled with abstractions might work in the B2C market, but the B2B marketplace is about being literal. What we know about advertising ��� and particularly the message component of advertising ��� is based on a combination of experience, unproven ideas and a bit of social science. Over the years, advertising guidelines produced by the predecessors of BMA (National Industrial Advertising Association, Association of Industrial Advertising, and the Business/Professional Advertising Association) stressed emphasizing product features and tangible benefits. The major publishers of B2B magazines, e.g., McGraw-Hill, Penton Publishing, et al. had similar recommendations. Also, B2B marketing books recommend advertising that focuses on specific product features (Kotler and Pfoertsch, 2006; Lamons, 2005). In more recent times, abstraction in advertising messages has penetrated the B2B marketplace. Even though such advertising legends as David Ogilvy (1963, 1985) frequently recommended advertising based on hard-core information, we���ve seen the growing use of emotional appeals, including humor, fear, parental affection, etc. Beyond the use of emotion, marketers attempt to build a stronger connection between their brands and buyers through the use of abstraction and symbolism. Below are two examples of B2B advertisements ��� Figure 1A is high in literalism and Figure 1B is high in symbolism. Which approach ��� a ���left-brain��� (literal) or ���right brain��� (symbolic) is more effective in B2B advertising? Are the advertising message creation guidelines from the history of B2B advertising accurate? Are the foundations of B2B message creation (experience and unproven ideas) sound?

From valuing design to designing value

This paper presents findings of an embedded action research project within a small to medium sized enterprise (SME). Through the implementation of design-led innovation processes, this research aims to identify the changes experienced in the participating company during a shift in the perspective of design from a product focus towards a strategic focus. Staff interviews and a reflective journal were used as methods to collect data from a range of design interventions that were facilitated throughout the engagement. A shift in perspective of design was evident through three cultural changes within the firm. First, the perceived outcome focus of design became increasingly long-term. Second, the value of design outcomes became less directed towards current projects, and more directed towards future possibilities. Finally, the perceived tangibility of design outcomes shifted from tangible to intangible. For example, design activities which produced customer insights, rather than product features, became seen as beneficial to the firm. These three components are proposed as cultural stepping stones which describe how a company transitions from an exclusively product-focused perspective and utilisation of design towards design as a company based process. Implications of this research provide considerations for designers who are attempting to facilitate a similar transformation within a business in the future.

Relational architecture description language for software families

<p>Software Product-Line Engineering has emerged in recent years, as an important strategy for maximising reuse within the context of a family of related products. In current approaches to software product-lines, there is general agreement that the definition of a reference-architecture for the product-line is an important step in the software engineering process. In this paper we introduce ADLARS, a new form of architecture Description language that places emphasis on the capture of architectural relationships. ADLARS is designed for use within a product-line engineering process. The language supports both the definition of architectural structure, and of important architectural relationships. In particular it supports capture of the relationships between product features, component and task architectures, interfaces and parameter requirements.</p>

The influence of price changes on consumers' purchase decisions

The development of an effective pricing strategy requires the acquaintance of consumers��� price perception as well as the range of elements that influence the price sensitivity. This paper analyses the relationships between product features, individual characteristics and the level of price increase/decrease that induces the consumers to change their purchase decisions. The results of a dedicated survey show, that price sensitivity, individual preferences, type of product and direction of price change and individual characteristics of consumers (gender, age, professional situation) have a significant impact on a threshold at which people are willing to choose the less attractive, but cheaper alternative to their favorite product or give up the variety in consumption. From a consumer behavior perspective, these findings play a fundamental role in pricing.

Model Development and Validation for Studying Consumer Preferences of Car Owners

Globalization and liberalization, with the entry of many prominent foreign manufacturers, changed the automobile scenario in India, since early 1990���s. Manufacturers such as Ford, General Motors, Honda, Toyota, Suzuki, Hyundai, Renault, Mitsubishi, Benz, BMW, Volkswagen and Nissan set up their manufacturing units in India in joint venture with their Indian counterpart companies, by making use of the Foreign Direct Investment policy of the Government of India, These manufacturers started capturing the hearts of Indian car customers with their choice of technological and innovative product features, with quality and reliability. With the multiplicity of choices available to the Indian passenger car buyers, it drastically changed the way the car purchase scenario in India and particularly in the State of Kerala. This transformed the automobile scene from a sellers��� market to buyers��� market. Car customers started developing their own personal preferences and purchasing patterns, which were hitherto unknown in the Indian automobile segment. The main purpose of this paper is to come up with the identification of possible parameters and a framework development, that influence the consumer purchase behaviour patterns of passenger car owners in the State of Kerala, so that further research could be done, based on the framework and the identified parameters

Dominant partial least square factors of consumer purchase behaviour of passenger cars

Globalization and liberalization, with the entry of many prominent foreign manufacturers, changed the automobile scenario in India, since early 1990���s. World Leaders in automobile manufacturing such as Ford, General Motors, Honda, Toyota, Suzuki, Hyundai, Renault, Mitsubishi, Benz, BMW, Volkswagen and Nissan set up their manufacturing units in India in joint venture with their Indian counterpart companies, by making use of the Foreign Direct Investment policy of the Government of India, These manufacturers started capturing the hearts of Indian car customers with their choice of technological and innovative product features, with quality and reliability. With the multiplicity of choices available to the Indian passenger car buyers, it drastically changed the way the car purchase scenario in India and particularly in the State of Kerala. This transformed the automobile scene from a sellers��� market to buyers��� market. Car customers started developing their own personal preferences and purchasing patterns, which were hitherto unknown in the Indian automobile segment. The main purpose of this paper is to develop a model with major variables, which influence the consumer purchase behaviour of passenger car owners in the State of Kerala. Though there are innumerable studies conducted in other countries, there are very few thesis and research work conducted to study the consumer behaviour of the passenger car industry in India and specifically in the State of Kerala. The results of the research contribute to the practical knowledge base of the automobile industry, specifically to the passenger car segment. It has also a great contributory value addition to the manufacturers and dealers for customizing their marketing plans in the State

Dominant Mean Percentage Score Factors Of The Consumer Purchase Behaviour Of Passenger Cars

Globalization and liberalization, with the entry of many prominent foreign manufacturers, changed the automobile scenario in India, since early 1990���s. World Leaders in automobile manufacturing such as Ford, General Motors, Honda, Toyota, Suzuki, Hyundai, Renault, Mitsubishi, Benz, BMW, Volkswagen and Nissan set up their manufacturing units in India in joint venture with their Indian counterpart companies, by making use of the Foreign Direct Investment policy of the Government of India, These manufacturers started capturing the hearts of Indian car customers with their choice of technological and innovative product features, with quality and reliability. With the multiplicity of choices available to the Indian passenger car buyers, it drastically changed the way the car purchase scenario in India and particularly in the State of Kerala. This transformed the automobile scene from a sellers��� market to buyers��� market. Car customers started developing their own personal preferences and purchasing patterns, which were hitherto unknown in the Indian automobile segment. The main purpose of this paper is to come up with the identification of possible parameters and a framework development, that influence the consumer purchase behaviour patterns of passenger car owners in the State of Kerala, so that further research could be done, based on the framework and the identified parameters.

Perfil Log��stico del Sector Hidrocarburos en Colombia ��� Parte 2

El perfil log��stico del sector hidrocarburos parte de una caracterizaci��n mundial y nacional del mismo en el que se resalta la posici��n del pa��s respecto a la regi��n en cuanto a la participaci��n en consumo y producci��n de petr��leo, adem��s de contar con un an��lisis del comportamiento de los principales indicadores como lo son los hist��ricos del precio del barril de petr��leo, producci��n diaria, participaci��n en el PIB, Inversi��n Extranjera Directa o IED y Balanza Comercial. Luego se presentan las principales problem��ticas del sector en cuanto a medio ambiente, infraestructura, conflicto armado, disminuci��n de reservas, alternativas energ��ticas, etc., que presentan un obst��culo para el desarrollo y competitividad del sector. A continuaci��n se encuentra la informaci��n asociada con la cadena de suministro de los hidrocarburos, se caracteriza el producto y se trata eslab��n por eslab��n comenzando por los proveedores, pasando por producci��n, almacenamiento, distribuci��n, transporte clientes, log��stica inversa y finalizando con un mapa de agregaci��n de valor o VSM por sus siglas en ingl��s. A partir de esto se analiza el estado de productividad y competitividad del sector; se dan a conocer las principales asociaciones y agremiaciones del mismo, se realiza un an��lisis especial a la situaci��n de fletes y transporte. Todo con el fin de dar a conocer una fotograf��a del estado actual de los hidrocarburos en Colombia.

An��lisis del manejo de residuos s��lidos y su mejor aprovechamiento en la secci��n fruver de un hipermercado

Existen diversas problem��ticas que conciernen al mundo en la actualidad, una de estas es el deterioro del medio ambiente. Por lo anterior, las empresas han tenido que realizar acciones para darle un mejor manejo a sus residuos a fin de mitigar el impacto ambiental y a su vez, obtener beneficios econ��micos. Esta investigaci��n analiza la secci��n fruver de un hipermercado para determinar las principales causas de generaci��n de merma y a su vez, proponer alternativas de manejo de dichos residuos para disminuir su volumen y darle una mejor disposici��n. Esto se realiz�� por medio del uso de diferentes herramientas como: encuestas, datos hist��ricos y diagrama causa-efecto, entre otros. Los resultados obtenidos demostraron que es inevitable la generaci��n de residuos en el ��rea de fruver por pol��ticas empresariales y caracter��sticas del producto. Sin embargo, se puede reducir la cantidad de residuos mejorando la gesti��n y logrando la sinergia entre los diferentes agentes involucrados en el proceso de generaci��n y manejo de mercanc��a. Adem��s, es importante realizar una gesti��n adecuada con los residuos producidos en el ��rea de fruver con el fin de reducir sus impactos ambientales .