Data-Based Promotion of Tourist Events with Minimal Operational Impact
Authors: Srikanth Tamilselvam, Biplav Srivastava, Vishalaksh Aggarwal
IJCAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We use a slew of AI techniques on event data for new insights related to promoting tourism and understanding its impact. The CC app was initially launched on the web in 2014 summer... The BK app has been available on the web for over a year and mobile app was released on Android store in Jan 2016. The feedback from the early adopters has been positive, and especially the experience index. |
| Researcher Affiliation | Industry | Srikanth Tamilselvam, Biplav Srivastava, Vishalaksh Aggarwal IBM Research |
| Pseudocode | No | No pseudocode or algorithm blocks are present in the paper. |
| Open Source Code | No | Footnote 1 provides links to 'BK-W: http://bharat-khoj-starter.mybluemix.net/, BK-M: https://play.google.com/store/apps/details?id=com.ibm.irl.bharatkhoj; CC: https://www.youtube.com/watch?v=Claczk4s nk.' These are links to deployed applications and a video, not to the source code of the methodology. |
| Open Datasets | Yes | In Europe, City SDK2 is a prominent standard for cities to disseminate data... We use both the standards for cities supported in CC. For non-periodic events, similar events from its near by location around the same period from online sources available in both semi-structured data (DBPedia) and unstructured data (Google search) are crawled. We use open data about city demographics and rules to make an experience estimation currently... |
| Dataset Splits | No | The paper does not provide specific dataset split information (e.g., percentages, sample counts, or explicit split methodologies) for training, validation, or testing. |
| Hardware Specification | No | The paper does not provide specific hardware details (e.g., GPU/CPU models, memory amounts) used for running its experiments. |
| Software Dependencies | No | The paper mentions 'IBM Watson s relationship extraction service' and other general 'AI techniques' but does not provide specific version numbers for any software dependencies or libraries. |
| Experiment Setup | No | The paper describes the overall approach and features of the system but does not provide specific details such as hyperparameter values, model initialization, or explicit training configurations for the AI techniques used. |