Directions (1-8) : Read the following passage carefully and answer the questions given below it. Certain words have been printed in bold to aid in answering some of the questions. In this modern era of big data, the shopping activity is modified a lot because of enormous growth in online shopping websites, also known as E-Tailers. The new age customers prefer to shop through these online portals because of various attractions in countries like India such as easy and cheap availability of the Internet. The primary reason for cheap internet is intense competition between telecoms, for instance, many telecom companies offer free unlimited internet data usage for all of its users in nominal charges. Moreover, searching a suitable E-Commerce website to best suit the customer purchase requirements is not so easy as customers are primarily dependent on conventional search engines like Google, Bing to find a suitable E-Commerce web site. However, when different users search the same E-Commerce query, even a most advanced and popular search engine retrieves the same result. Thus, irrespective of the background and personalized tastes of customer submitting the query as most of the modern search engines tend to return the results by interpreting the E-Commerce query in various possible ways.
Moreover, if the query is ambiguous or incomplete, then the situation will get even worse. For instance, for the incomplete E-Commerce search query “Galaxy”, some customers may be interested in links to buy a new Samsung Galaxy series mobile phone, while another customer may be interested in searching links for online booking of tickets for a movie Guardians of the Galaxy Vol. 2. Hence, there is an urgent need for personalized E-Commerce search system. The personalized system may modify the E-Commerce search query by keeping track of customer's preferences by maintaining his/her profile, search preferences through browsing history, etc. over a period and return results in correct order of
ranking with customer’s relevant output links on top to best suit the customer requirements. E-Commerce data is explosively increasing on the scale of TeraBytes (TB) to PetaBytes (PB) on a daily basis due to the continuous increase in WWW traffic. This excessive online generated data is commonly known as ‘Big Data’ with emphasis on high values of various popular V's, i.e., Value, Velocity, Variety, Veracity, and Volume.
Why does the author emphasise the need for personalized E-Commerce search systems?
Correct Answer :
To avoid misinterpretation and to facilitate easier access to the products users require
Solution :
The correct answer is: To avoid misinterpretation and to facilitate easier access to the products users require.
Step-by-Step Explanation:
1. Analyze the Question: The question asks why the author emphasizes the need for personalized E-Commerce search systems based on the given passage.
2. Locate Relevant Information in the Passage:
Referring to the second paragraph of the passage:
"Hence, there is an urgent need for personalized E-Commerce search system. The personalized system may modify the E-Commerce search query by keeping track of customer's preferences... and return results in correct order of ranking with customer’s relevant output links on top to best suit the customer requirements."
Prior to this line, the author gives an example of search query ambiguity (e.g., searching "Galaxy" could mean a Samsung smartphone or a movie ticket), explaining how standard search engines can misinterpret ambiguous queries.
3. Evaluate the Options:
- Option 1: Merging different e-commerce platforms is not mentioned in the text.
- Option 2: Eliminating user IDs or personal information is not mentioned in the text.
- Option 3: "To avoid misinterpretation and to facilitate easier access to the products users require" directly aligns with resolving query ambiguity and ranking customer-relevant links on top.
- Option 4: Avoiding pop-up notifications is not discussed in the passage.
4. Conclusion:
Therefore, the author emphasizes personalized search systems to prevent misinterpreting ambiguous search terms and to ensure users easily get the specific products/links relevant to their individual needs.
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