Recommender Systems Review of Types, Techniques, and Applications

2015 ◽  
pp. 7260-7270 ◽  
Author(s):  
George A. Sielis ◽  
Aimilia Tzanavari ◽  
George A. Papadopoulos
Keyword(s):  
Recommender Systems ◽  
Recommendation Systems ◽  
Software Tools ◽  
Future Research ◽  
Research Directions ◽  
Different Types ◽  
Future Research Directions

Recommender or recommendation systems are software tools that make useful suggestions to users, by taking into account their profile, preferences and/or actions during interaction with an application or website. They are usually personalized and can refer to items to buy, people to connect to or books/ articles to read. Recommender Systems (RS) aim at helping users with their interaction by bringing to surface the information that is relevant to them, their needs, or their tasks. This article's objective is to present a review of the different types of RS, the techniques and methods used for building such systems, the algorithms used to generate the recommendations and how these systems can be evaluated. Finally, a number of topics are discussed as envisioned future research directions.

Context-Aware Recommender Systems

AI Magazine ◽  
2011 ◽  
Vol 32 (3) ◽  
pp. 67 ◽  
Author(s):  
Gediminas Adomavicius ◽  
Bamshad Mobasher ◽  
Francesco Ricci ◽  
Alexander Tuzhilin
Keyword(s):  
Recommender Systems ◽  
Contextual Information ◽  
Future Research ◽  
Context Aware ◽  
Research Directions ◽  
Different Types ◽  
Future Research Directions

Context-aware recommender systems (CARS) generate more relevant recommendations by adapting them to the specific contextual situation of the user. This article explores how contextual information can be used to create more intelligent and useful recommender systems. It provides an overview of the multifaceted notion of context, discusses several approaches for incorporating contextual information in recommendation process, and illustrates the usage of such approaches in several application areas where different types of contexts are exploited. The article concludes by discussing the challenges and future research directions for context-aware recommender systems.

Effects of Information Technology on Business Performance and the Use of Accounting Measures

2015 ◽  
pp. 285-294
Author(s):  
Jorge A. Romero
Keyword(s):  
Information Technology ◽  
Firm Performance ◽  
Business Performance ◽  
Future Research ◽  
Research Directions ◽  
It Investments ◽  
Positive Effects ◽  
Different Types ◽  
Future Research Directions ◽  
Area Of Study

The understanding of the link between Information Technology (IT) investments and firm performance is still not completely understood in spite of numerous studies. However, these studies are not united in how they examine the effects of IT on business performance. They differ in their criteria, methodologies, and samples. Therefore, while there are positive effects associated with IT on firm performance, it is still difficult to reach overarching conclusions and highlight that there is still a need for further research. Specifically, this chapter contributes to this area of study by discussing the different types of benefits that firms can get from IT investments, examining the use of accounting variables to quantify the effect of IT, and providing future research directions.

scholarly journals Deciding Where to Buy: Store Choice Behaviour of Indian Shoppers

2002 ◽  
Vol 27 (2) ◽  
pp. 13-28 ◽  
Author(s):  
Piyush Kumar Sinha ◽  
Arindam Banerjee ◽  
Dwarika Prasad Uniyal
Keyword(s):  
Marketing Strategies ◽  
Future Research ◽  
Store Choice ◽  
Research Directions ◽  
Logit Regression ◽  
Multinomial Logit Regression ◽  
Retail Business ◽  
Choice Pattern ◽  
Different Types ◽  
Future Research Directions

Store choice is a decision that a shopper is fairly involved in. It is important for a store to understand this behaviour for developing marketing strategies to attract and keep its clientele. It is found that shoppers choose the store based on many aspects that could be classified as primary and image based. It is also found that the importance of each of these aspects changes with the kind of store the shopper wants to visit. In the Indian context where the shopper does not have much variety in store format, the type of store is recognized by the kind of product the store deals in. The paper is an attempt to understand this behaviour of the shopper. The shoppers are explored for the primary reasons for choosing a store. Then, using a factor analysis, the several image dimensions are classified. Further, using multinomial logit regression, the store choice pattern is studied across different types of store. Implications for the managers in the retail business are drawn and future research directions have been highlighted.

scholarly journals The integrated function modeling framework and its relation to function structures

2017 ◽  
Vol 31 (4) ◽  
pp. 436-457 ◽  
Author(s):  
Kilian Gericke ◽  
Boris Eisenbart
Keyword(s):  
Future Research ◽  
Specific Situation ◽  
Modeling Framework ◽  
Research Directions ◽  
Industrial Practice ◽  
Modeling Approaches ◽  
Different Types ◽  
Future Research Directions ◽  
Function Models ◽  
Function Structures

AbstractResearch and industrial practice have produced a host of function models and modeling approaches over the last decades. Each of these is meant to support designers in their design endeavors. Industrial practice is excessively diversified in terms of contextual requirements, aims, and adopted processes; this automatically begs the question which of the existing models should be selected for application in a specific situation. This paper sets out to contribute to this discourse. It strives to benchmark the fairly novel integrated function modeling (IFM) framework against the well-established function structures modeling approach. The paper comparatively investigates the respective capabilities of the approaches, following the benchmarking protocol used earlier in relation to this Special Issue. Function structures are used as reference as they represent one of the most widespread function modeling approaches in research and practice. Both function structures and the IFM framework are exemplarily applied for modeling a glue gun. The gradual generation and refinement of the models is used to showcase their respective benefits and shortcomings. Eventually, the IFM framework is found to excel over function structures in terms of comprehensiveness and support for different types of function analyses. Finally, future research directions are proposed.

Marketing Educational Programs through Technology and the Right Philosophies

2011 ◽  
Vol 1 (1) ◽  
pp. 50-59 ◽  
Author(s):  
Victor X. Wang
Keyword(s):  
Web 2.0 ◽  
Educational Programs ◽  
Academic Departments ◽  
Real Case ◽  
Future Research ◽  
Web 2.0 Technologies ◽  
Research Directions ◽  
Different Types ◽  
Future Research Directions ◽  
The Right

This article uses a real case to illustrate that marketing educational programs through technology is affected by one’s philosophies positively or negatively, depending on the philosophies adopted. Seven philosophies are discussed in relationship to marketing educational programs via technology. Connections between the seven philosophies and different types of universities/colleges are drawn. Future research directions also revolve around marketing educational programs, Web 2.0 technologies and one’s philosophies. It is recommended that universities/colleges seriously consider hiring those administrators who have adopted the right philosophies as the wrong philosophies will work against the mission of certain academic departments, hence the whole university or college.

A Survey of Multimedia Recommender Systems: Challenges and Opportunities

2017 ◽  
Vol 11 (03) ◽  
pp. 411-428 ◽  
Author(s):  
Mouzhi Ge ◽  
Fabio Persia
Keyword(s):  
Multimedia Information ◽  
Recommender Systems ◽  
Recommender System ◽  
Future Research ◽  
Research Directions ◽  
Research Challenges ◽  
Challenges And Opportunities ◽  
Future Research Directions ◽  
Research Challenge

Multimedia information has been extensively growing from a variety of sources such as cameras or video recorders. In order to select the useful multimedia objects, multimedia recommender system has been emerging as a tool to help users choose which multimedia objects might be interesting for them. However, given the complexity of multimedia objects, it is challenging to provide effective multimedia recommendations. In this paper, we therefore conduct a survey in both the multimedia information system and recommender system communities. We further focus on the works that span the two communities, especially the research on multimedia recommender systems. Based on our review, we propose a set of research challenges, which can be used to implicate the future research directions for multimedia recommender systems. For each research challenge, we have also provided the insights of how to perform the follow-up research.

Examination of Responses Involved in Contamination Aversion Based on Threat Type

2018 ◽  
Vol 37 (2) ◽  
pp. 83-106 ◽  
Author(s):  
Melissa Rouel ◽  
Richard J. Stevenson ◽  
Evelyn Smith
Keyword(s):  
Time Delay ◽  
Cognitive Load ◽  
Harm Avoidance ◽  
Future Research ◽  
Research Directions ◽  
Different Types ◽  
Future Research Directions ◽  
Harmful Substances

There is evidence that different types of contaminants produce different responses and have different motivations for avoidance. Contaminants directly associated with disease (direct contaminants) are motivated by disgust avoidance, whereas contaminants indirectly associated with disease (indirect contaminants) and contaminants associated with harmful substances (harm contaminants) are motivated by harm avoidance and threat estimations. This study aims to confirm this distinction between contaminant types and examine the role of cognitive load, awareness and time on processing these threats. One hundred and four participants completed three chain of contagion tasks with direct, indirect, and harm contaminants. Cognitive load, awareness of contamination and time were manipulated during the tasks. Consistent with previous findings, direct contaminants produced stronger disgust responses, while harm and indirect contaminants produced stronger threat estimations. Increasing cognitive load did not impact processing of any type of contaminant. There was evidence that a time delay reduced the spread of contagion for all contaminants. This highlights the importance of time in altering the perception of contamination threat. Implications and future research directions are discussed.

Misunderstanding embeddedness: a response to Ferraris’ rethinking multiple embeddedness

2014 ◽  
Vol 22 (2) ◽  
pp. 139-154 ◽  
Author(s):  
Matevž Rašković
Keyword(s):  
Design Methodology ◽  
Economic Sociology ◽  
Multinational Enterprise ◽  
Future Research ◽  
Global Integration ◽  
Research Directions ◽  
Content Type ◽  
Different Types ◽  
Future Research Directions ◽  
Country Specific

Purpose – The purpose of this paper is to address the misapplication of the embeddedness concept in Ferraris’s (2014) paper and show how it needs to be used as a cornerstone economic sociology concept within his proposed framework. This paper is a response to his paper in the Multinational Business Review “Rethinking the literature on ‘multiple embeddedness’ and subsidiary-specific advantages”. Design/methodology/approach – The paper outlines the origin of the embeddedness concept and its evolution within the economic sociology literature. It addresses different types of embeddedness and continues with a critical analysis of Ferraris’s (2014) proposed framework of four main types of multinational enterprise (MNE) relationships. It provides suggestions for its improvement and application, as well as discusses the appropriate applications of embeddedness concept by international business (IB) scholars in MNE research. Findings – The paper shows how the embeddedness concept is mostly used as a metaphor and as a simple umbrella label for different types of connections between MNEs, their subsidiaries and different types of environments. The analysis of Ferraris’s (2014) proposed framework shows how MNE embeddedness is incorrectly understood as emanating from the balancing of local responsiveness and global integration within MNEs, where subsidiaries develop subsidiary-specific advantages (SSAs) by recombining home – host country-specific advantages and parent – subsidiary firm-specific advantages (FSAs). Originality/value – The paper adds to the existing IB understanding of MNEs’ multiple embeddedness and subsidiaries’ dual embeddedness through a wider and more structured economic sociology perspective. It provides an appropriate economic sociology-grounded typology of different types of embeddedness. A discussion of possible future research directions stresses how the embeddedness – dissembeddedness capability is a key source of MNE competitive advantage, which moderates the actual recombination process of producing FSAs and SSAs.

scholarly journals Thirty Years of Research on Succession in the Field of Family Business: A Bibliometric Analysis

2021 ◽  
Vol 17 (1) ◽  
pp. 88
Author(s):  
Atar Benismael ◽  
Mohamed Nabil El mabrouki
Keyword(s):  
Bibliometric Analysis ◽  
Family Business ◽  
Scientific Literature ◽  
Future Research ◽  
Research Topics ◽  
Scientific Publications ◽  
Research Directions ◽  
Word Analysis ◽  
Different Types ◽  
Future Research Directions

Bibliometric analysis is the application of statistical methods to quantitatively analyze scientific publications. It makes it possible to evaluate the production of a laboratory, a journal or a field of research. The objective of this study is to carry out an analysis of the scientific literature published on succession in the field of family business over the last thirty years. Two different types of indicators were used. The first concerns the activity indicators, which provides information about the productivity of journals and authors. The second is about co-citation analysis which gives an idea of the links between researchers, and co-word analysis which identifies interactions and relationships between different research topics. The results obtained reveal that it is a relatively recent area of research with strong connections between authors. Gaps in the literature as well as future research directions are also presented.

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