scholarly journals Optimization and Combination of Scientific and Technological Resource Services Based on Multi-Community Collaborative Search

2021 ◽  
Vol E104.D (8) ◽  
pp. 1313-1320
Author(s):  
Yida HONG ◽  
Yanlei YIN ◽  
Cheng GUO ◽  
Xiaobao LIU
Keyword(s):  
Technological Resource ◽  
Collaborative Search ◽  
Community Collaborative

A quasi-affine transformation artificial bee colony algorithm for global optimization

2021 ◽  
pp. 1-18
Author(s):  
Baohua Zhao ◽  
Tien-Wen Sung ◽  
Xin Zhang
Keyword(s):  
Affine Transformation ◽  
Artificial Bee Colony ◽  
Triangular Matrix ◽  
Convergence Speed ◽  
Test Set ◽  
Abc Algorithm ◽  
Bee Colony ◽  
Search Mechanism ◽  
Multiple Dimensions ◽  
Collaborative Search

The artificial bee colony (ABC) algorithm is one of the classical bioinspired swarm-based intelligence algorithms that has strong search ability, because of its special search mechanism, but its development ability is slightly insufficient and its convergence speed is slow. In view of its weak development ability and slow convergence speed, this paper proposes the QABC algorithm in which a new search equation is based on the idea of quasi-affine transformation, which greatly improves the cooperative ability between particles and enhances its exploitability. During the process of location updating, the convergence speed is accelerated by updating multiple dimensions instead of one dimension. Finally, in the overall search framework, a collaborative search matrix is introduced to update the position of particles. The collaborative search matrix is transformed from the lower triangular matrix, which not only ensures the randomness of the search, but also ensures its balance and integrity. To evaluate the performance of the QABC algorithm, CEC2013 test set and CEC2014 test set are used in the experiment. After comparing with the conventional ABC algorithm and some famous ABC variants, QABC algorithm is proved to be superior in efficiency, development ability, and robustness.

Investigating users ' affective load in collaborative search

2019 ◽  
Vol 56 (1) ◽  
pp. 427-431
Author(s):  
Kun Huang ◽  
Xin Yuan ◽  
Lei Li ◽  
Edwin Mouda Ye
Keyword(s):  
Collaborative Search

scholarly journals Understanding collaborative tourism information searching to support online travel planning

2019 ◽  
Vol 43 (3) ◽  
pp. 369-386 ◽  
Author(s):  
Abu Shamim Mohammad Arif ◽  
Jia Tina Du
Keyword(s):  
Information Search ◽  
User Study ◽  
Ease Of Use ◽  
Online Information ◽  
Information Searching ◽  
Search System ◽  
Content Type ◽  
Travel Planning ◽  
Collaborative Search ◽  
Tourism Information

Purpose Collaborative information searching is common for people when planning their group trip. However, little research has explored how tourists collaborate during information search. Existing tourism Web portals or search engines rarely support tourists’ collaborative information search activities. Taking advantage of previous studies of collaborative tourism information search behavior, in the current paper the purpose of this paper is to propose the design of a collaborative search system collaborative tourism information search (ColTIS) to support online information search and travel planning. Design/methodology/approach ColTIS was evaluated and compared with Google Talk-embedded Tripadvisor.com through a user study involving 18 pairs of participants. The data included pre- and post-search questionnaires, web search logs and chat history. For quantitative measurement, statistical analysis was performed using SPSS; for log data and the qualitative feedback from participants, the content analysis was employed. Findings Results suggest that collaborative query formulation, division of search tasks, chatting and results sharing are important means to facilitate tourists’ collaborative search. ColTIS was found to outperform Tripadvisor significantly regarding the ease of use, collaborative support and system usefulness. Originality/value The innovation of the study lies in the development of an integrated real-time collaborative tourism information search system with unique features. These features include collaborative query reformulation, travel planner and automatic result and query sharing that assist multiple people search for holiday information together. For system designers and tourism practitioners, implications are provided.

Marketing and Technology: A Strategic Coalignment

1987 ◽  
Vol 51 (3) ◽  
pp. 1-14 ◽  
Author(s):  
Noel Capon ◽  
Rashi Glazer
Keyword(s):  
Resource Allocation ◽  
Technological Change ◽  
Marketing Strategy ◽  
Firm Behavior ◽  
Technology Strategy ◽  
Changing Environments ◽  
Integrating Technology ◽  
Technological Resource ◽  
Optimal Set

The authors present a case for integrating technology and marketing strategy as key elements that affect corporate success in rapidly changing environments. After describing the implications of technological change for firm behavior, the authors propose a framework for developing a technology strategy and introduce the technology portfolio. The technology portfolio serves both as a model for technological resource allocation and as an aid in choosing an optimal set of technologies from a set of feasible alternatives.

scholarly journals Integrated Community Collaborative Care for Seniors with Depression/Anxiety and any Physical Illness

2021 ◽  
Vol 24 (3) ◽  
pp. 251-257
Author(s):  
Richard Shulman ◽  
Reenu Arora ◽  
Rose Geist ◽  
Amna Ali ◽  
Julia Ma ◽  
...  
Keyword(s):  
Collaborative Care ◽  
Rating Scales ◽  
Qualitative Interviews ◽  
Geriatric Medicine ◽  
Physical Illness ◽  
Fee For Service ◽  
Case Review ◽  
Care Model ◽  
Collaborative Care Model ◽  
Community Collaborative

Background We report on the feasibility and effectiveness of an integrated community collaborative care model in improving the health of seniors with depression/anxiety symptoms and chronic physical illness. Methods This community collaborative care model integrates geriatric medicine and geriatric psychiatry with care managers (CM) providing holistic initial and follow-up assessments, who use standardized rating scales to monitor treatment and provide psychotherapy (ENGAGE). The CM presents cases in a structured case review to a geriatrician and geriatric psychia­trist. Recommendations are communicated by the CM to the patient’s primary care provider. Results 187 patients were evaluated. The average age was 80 years old. Two-thirds were experiencing moderate-to-severe depres­sion upon entry and this proportion decreased significantly to one-third at completion. Qualitative interviews with patients, family caregivers, team members, and referring physicians indicated that the program was well-received. Patients had on average six visits with the CM without the need to have a face-to-face meeting with a specialist. Conclusion The evaluation shows that the program is feasible and effect­ive as it was well received by patients and patient outcomes improved. Implementation in fee-for-service publicly funded health-care environments may be limited by the need for dedicated funding.

Sign in / Sign up

Export Citation Format

Share Document